Social information retrieval systems: emerging technologies and applications for searching the Web effectively
"This book provides relevant content in the areas of information retrieval systems, services, and research; covering topics such as social tagging, collaborative querying, social network analysis, subjective relevance judgments, and collaborative filtering. Answering the increasing demand for a...
Gespeichert in:
| Format: | Buch |
|---|---|
| Sprache: | English |
| Veröffentlicht: |
Hershey, Pa. [u.a.]
Information Science Reference
2008
|
| Schriftenreihe: | Premier reference source
|
| Schlagworte: | |
| Online-Zugang: | Table of contents only Inhaltsverzeichnis |
| Zusammenfassung: | "This book provides relevant content in the areas of information retrieval systems, services, and research; covering topics such as social tagging, collaborative querying, social network analysis, subjective relevance judgments, and collaborative filtering. Answering the increasing demand for authoritative resources on Internet technologies, this will make an indispensable addition to any library collection"--Provided by publisher. |
| Beschreibung: | Literaturverz. S. 336-364. - "This book provides relevant content in the areas of information retrieval systems, services, and research; covering topics such as social tagging, collaborative querying, social network analysis, subjective relevance judgments, and collaborative filtering. Answering the increasing demand for authoritative resources on Internet technologies, this will make an indispensable addition to any library collection"--Provided by publisher Includes bibliographical references and index |
| Beschreibung: | XVIII, 375 S. Ill., graph. Darst. |
| ISBN: | 9781599045436 9781599045450 |
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| 500 | |a Includes bibliographical references and index | ||
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Datensatz im Suchindex
| _version_ | 1804137289981362176 |
|---|---|
| adam_text | Table of Contents
Prefiace xiii
Acknowledgment xviii
Section I
Collaborative Querying
Chapter I
Collaborating to Search Effectively in Different Searcher Modes Through Cues
and Specialty Search / Naresh Kumar Agarwal and Danny C.C. Poo 1
Chapter II
Collaborative Querying Using a Hybrid Content and Results based Approach
/ Chandram Sinha Ray, Dion Hoe Lian Goh, Schubert Foo, Nyein Chan Soe Win,
and Khasfariyati Razikin 31
Section II
Collaborative Classification and Organization
Chapter III
Collaborative Classification for Group Oriented Organization of Search Results
I Keüchi Nakata and Amrish Singh 47
Chapter IV
A Case Study of Use Centered Descriptions: Archival Descriptions of What Can
Re Dons vs xth diCoWection I Richard Butterworth 67
Chapter V
Metadata for Social Recommendations: Storing, Sharing, and Reusing Evaluations
of Learning Resources / Riina Vuorikari, Nikos Manouselis, and Erik Duval 87
Section III
Using Social Networks for Information Retrieval
Chapter VI
Social Network Models for Enhancing Reference Based Search Engine Rankings
I Nikolaos Korfiatis, Miguel Angel Sicilia, Claudia Hess, Klaus Stein, and Christoph Schlieder 109
Chapter VII
From PageRank to Social Rank: Authority Based Retrieval in Social Information
Spaces / Sebastian Marius Kirsch, Melanie Gnasa, Markus Won, and Armin B. Cremers 134
Chapter VIII
Adaptive Peer to Peer Social Networks for Distributed Content Based
Web Search I Le Shin Wu, Ruf Akavipat, Ana Gabriela Maguitman, andFilippo Menczer 155
Section IV
Social Issues
Chapter IX
The Ethics of Social Information Retrieval I Brendan Luyt and Chu Keong Lee 179
Chapter X
The Social Context ofKnowledge / Daniel Memmi 189
Section V
Social Information Seeking Models
Chapter XI
Social Information Seeking in Digital Libraries / George Buchanan and Annika Hinze 209
Chapter XII
Relevant Intra Actions in Networked Environments / Theresa Dirndorfer Anderson 230
Chapter XIII
Publication and Citation Analysis as a Tool for Information Retrieval / Ronald Rousseau 252
Section VI
Applications and Case Studies in Social Information Retrieval
Chapter XIV
Personalized Information Retrieval in a Semantic Based Leaming Environment
/ Antonella Carbonaro and Rodolfo Ferrini 270
Chapter XV
Multi Agent Tourism System (MATS) / Soe Yu Maw and Myo Myo Naing 289
Chapter XVI
Hybrid Recommendation Systems: A Case Study on the Movies Domain
/ Konstantinos Markellos, Penelope Markellou, Aristotelis Mertis,
loanna Mousourouli, Angeliki Panayiotaki, andAthanasios Tsakalidis 311
Compilation of References 336
About the Contributors 365
Index 373
Detailed Table of Contents
Preface xiii
Acknowledgment xviii
Section I
Collaborative Querying
Cbapter I
Collaborating to Search Effectively in Different Searcher Modes Through Cues
and Specialty Search / Naresh Kumar Agarwal and Danny C.C Poo 1
Searchers generalfy have difficidty searching into knowledge repositories because of the quantity of
data involved and because searcher mechanisms are not tailored to their differing needs at different
Points in time. Also, every searcher generalfy searches ahne without taking into account other users
with similar search needs or experience. While the Internet may have contributed to information over
load, the Connectivity it has provides the potential to different searchers to collaborate when looking
for information. In this chapter the authors: (1) review concepts related to social information retrieval
and existing collaborative mechanisms; (2) discuss two collaborative mechanisms—cues and specialty
search; and (3) see cues and specialty search in the context ofthe changing needs ofa searcher in one
offour modes. A case study ofan online portal for the Singapore education Community is used to show
how collaboration could enhance learning and search efßcacy
Chapter II
Collaborative Querying Using a Hybrid Content and Resülts Based Approach
/ Chandrani Sinha Ray, Dion Hoe Lian Goh, Schubert Foo, Nyein Chan Soe Win,
and Khasfariyati Razikin 31
Collaborative querying is a technique that makes use ofpast users search experiences in order to help
the current user formulate an appropriate query. In this technique, related queries are extracted from
query logs and clustered. Queries from these clusters that are related to the user s query are then recom
mended to the user. This work uses a combination of query terms as well as result documents returned by
queries for clustering queries. For the latter, it extracts features such as titles, URLs, and snippets from
the result documents. It also proposes an extended K means clustering algohthmfor clustering queries
over a simple measure ofoverlap. Experimentell results reveal that the best clusters are obtained by using
a combination ofthese sources rather than using only query terms or only result URLs alone.
Section II
Collaborative Classification and Organization
Chapter III
Collaborative Classification for Group Oriented Organization of Search Results
/ Keiichi Nakata andAmrish Singh 47
In this chapter the authors examine the use of collaborative classification to support social information
retrieval by organizing search results. It subscribes to the view that the activity of collaborative classifica¬
tion can be characterized by top down and bottom up approaches, both in terms ofthe nature ofconeept
classification and the process of classification development. Two approaches, collaborative indexing
and search result classification basedon shared classification schemes, are described and compared. It
suggests that by allowing open access to classification development tools to generate shared classifica¬
tion schemes, which in turn become collaborative artifacts, cooperating usergroups will generate their
own coordination mechanisms that are not dependent on the System itself.
Chapter IV
ACase Study of Use Centered Descriptions: Archival Descriptions of What
Can Be Done with aCollection I RichardButterworth 67
In this chapter the author argues the case that there is a mismatch between current metadata Standards
for the description of archival holdings and what many users actually want to know about a collection.
Standard archival descriptions objectively describe what is in a collection, whereas users wish to know
what they can do with a collection. It is argued that matching users research questions to lihraiy resources
that couldhelp answer those questions is a crucialsocial roleplayed by librarians, archivists, andother
frontline staff. However placing descriptions ofwhat is in a collection online for users to search directlv
risks disintermediating the users from library staff Use centered descriptions are proposed as a way
ofsystematically describing what can be done with a collection, and are, in effect, an encoding of library
staff s knowledge about what can be done with a collection. It is therefore argued that use centered
descriptions repair some of disintermediation gaps caused by putting collection descriptions online. A
theoretical motivation for use centered descriptions is presented by showing how Heaney s (1999) ana
lytic model of collections, which underlies the Research Support Libraries Program (RSLP) collection
description Standard, only addresses finding and identifying resources. The author augments this model
to address selecting resources from a ränge ofpossibilities andshow how use centered descriptions stem
from this augmentation. A case study is presented demonstrating the experience of developing a set of
use centered descriptions for the Univers ity of London aspart ofa projeet to encourage wider access to
their archival holdings. The projeet had necessarily limited aims, and therefore conclusions are drawn
about the viability of use centered descriptions in wider domains.
Chapter V
Metadata for Social Recommendations: Storing, Sharing, and Reusing Evaluations
ofLearning Resources I Rüna Vuorikari, Nikos Manouselis, and Erik Duval 87
Social information retrieval Systems, such as recommender Systems, can benefit greatlyfrom sharable
and reusable evaluations of online resources. For example, in distributed repositories with rieh collec
tions of learning resources, users can benefit from evaluations, ratings, reviews, annotations, and so
forth that previous users have provided. Furthermore, sharing these evaluations and annotations can
help attain the critical mass ofdata requiredfor social information retrieval Systems to be effective and
efficient. This kind of interoperability requires a common framework that can be used to describe in a
reusable manner the evaluation approach, as well as the results ofthe evaluation. The authors discuss
this coneept, focusing on the rationale for a reusable and interoperable framework, that can be used to
facilitate the representation, management, andreuse of results from the evaluation of learning resources.
For this purpose, the authors review a variety of evaluation approaches for learning resources andstudy
ways in which evaluation results may be characterized, so as to draw requirements for sharable and
reusable evaluation metadata. Usage scenarios illustrate how evaluation metadata can be useful in the
context of recommender Systems for learning resources.
Section III
Using Social Networks for Information Retrieval
Chapter VI
Social Network Models for Enhancing Reference Based Search Engine Rankings /
Nikolaos Korfiatis, Miguel Angel Sicilia, Claudia Hess, Klaus Stein, and Christoph Schlieder. 109
In this chapter the authors discuss the Integration of information retrieval information from two
sources—a social network and a document reference network—for enhancing reference based search
engine rankings. In particular, current modeis of information retrieval are blind to the social context that
surrounds information resources, thus they do not consider the trustworthiness oftheir authors when they
present the query results to the users. Following this point the authors elaborate on the basic intuitions
that highlight the contribution ofthe social context—as can be minedfrom social network positions for
instance—into the improvement ofthe rankings provided in reference based search engines. A review on
ranking modeis in Web search engine retrieval along with social network metrics ofimportance such as
prestige and centrality are provided as background. Then a presentation ofrecent research modeis that
utilize both contexts isprovided, along with a case study in the Internet based encyclopedia Wikipedia,
based on the social network metrics.
Chapter VII
From PageRank to Social Rank: Authority Based Retrieval in Social Information Spaces /
Sebastian Marius Kirsch, Melanie Gnasa, Markus Won, and Armin B. Cremers 134
Social Information Spaces are characterized by the presence ofa social network between participants.
The authors ofthis chapter present methods for utilizing social networks for Information retrieval, by
applying graph authority measures to the social network. The authors show how to integrale authority
measures in an information retrieval algorithm. In order to determine the suitability ofthe described
algorithms, they examine the structure andstatistical properties ofsocial networks, and present examples
of social networks as well as evaluation results.
Chapter VIII
Adaptive Peer to Peer Social Networks for Distributed Content Based Web Search /
Le Shin Wu, Ruj Akavipat, Ana Gabriela Maguitman, and Filippo Menczer 155
In this chapter the authors propose a collaborative peer network application called öSearch (6S) to
address the scalability limitations of centralized search engines. Eachpeer crawls the Web in afocused
way, guided by its user s information context. Through this approach, better (distributed) coverage can
be achieved. Each peer also acts as a search servent (server + dient) by submitting and responding
to queries to/from its neighbors. This search process has no centralized bottleneck. Peers depend on a
local adaptive routing algorithm to dynamically change the topology ofthe peer network and search
for the best neighbors to answer their queries. The authors present and evaluate learning techniques to
improve local query routing. They validate prototypes ofthe 6S network via simulations with 70—500
model users basedon actual Web crawls, and find that the network topology rapidly converges from a
random network to a smali world network, with clusters emergingfrom user communities with shared
interests. Final ly, the authors compare the quality ofthe results with those obtained by centralized search
engines such as Google.
Section IV
Social Issues
Chapter IX
The Ethics of Social Information Retrieval / Brendan Luyt and Chu Keong Lee 179
In this chapter the authors discuss some ofthe social andethical issues associated with social information
retrieval. Using the work of Habermas, they argue that social networking is likely to exacerbate already
disturbing trends towards the fragmentation ofsociety and a corresponding decline reduction in social
diversity. Such a Situation is not conducive to developing a healthy, democratic society. Following the
tradition ofcritical theorists of technology, the authors conclude with a callfor responsible and aware
technological design with more attention paid to the values embedded in new technological Systems.
Chapter X
The Social Context of Knowledge / Daniel Memmi 189
Information andknowledge have become a crucial resource in our knowledge based, computer mediated
economy. But knowledge is primarily a socialphenomenon, on which Computerprocessing has hadonly
a limited impact sofar, in spite of impressive advances. In this context have recently appeared various
collaborative Systems that promise to give access to socially situated Information. The author argues
(hat aprior analysis ofthe social context is necessary for a better understanding ofthe whole domain
of collaborative Software. The author will examine the variety andfunctions of Information in modern
society, where collaborative Information management is now the dominant type of occupation. Infact,
real information is much more complex than its usual technical sense: one should distinguish between
Information and knowledge, as well as between explicit and tacit knowledge. Because ofthe notable
importance of tacit knowledge, social networks are indispensable in practicefor locating relevant infor¬
mation. The author then proposes a typology of collaborative Software, distinguishing between explicit
communities supported by groupware Systems, task oriented communities organized around a common
data structure, and implicit links exploited by collaborative filtering and social information retrieval. The
latter approach is usually implemented by virtually grouping similar users, but there exist manypossible
variants. Yet much remains to be done by extracting, formalizing, and exploiting implicit social links.
Section IV
Social Information Seeking Models
Chapter XI
Social Information Seeking in Digital Libraries / George Buchanan and
Annika Hinze 209
In this chapter the authors demonstrate a number of contrasting uses ofthe social aspects of information
seeking, and through those propose, demonstrate, and realize social modeis of information seeking that
complement existing information seeking modeis and technologies. These inctude: information sharing
among humanities researchers; creation ofprofilesfor continuous, ongoing searching ofmedical mate
rial; and the capture of modeis ofuser behaviors in an interactive, mobile tourist information system.
Front the human perspective the authors illustrate differing social techniques and issues including:
explicit and implicit sharing; seeking facilitated by subject (medical, academic) experts and search
experts (librarians); and anonymized and attributed social environments.
Chapter XII
Relevant Intra Actions in Networked Environments / Theresa Dirndorfer Anderson 230
In this chapter the author uses a study of human assessments ofrelevance to demonstrate how individual
relevancejudgments and retrievalpractices embody collaborative elements that contribute to the overall
progress ofthatperson s individual work. After discussing key themes ofthe conceptual framework, the
author will discuss two case studies that serve as powerful illustrations ofthese themes for researchers
andpractitioners alike. These case studies—outcomes ofa two year ethnographic exploration ofresearch
practices—illustrate the theoretical position presented in pari one ofthe chapter, providing lessonsfor
the ways thatpeople work with Information Systems to generate knowledge and the conditions that will
support these practices. The author shows that collaboration does not have to be explicit to influence
searcher behavior. It seeks to present both a theoreticalframework and case studies that can be applied
to the design, development, and evaluation ofcollaborative Information retrieval Systems.
Chapter XIII
Publication and Citation Analysis as a Tool for Information Retrieval / Ronald Rousseau 252
In this chapter the author presents an overview of citation analysis, emphasizing its formal aspects as
applied social network theory. As such, citation linking can be considered a toolfor Information retrieval
based on social interaction. It is indeed well known that following citation links is an efficient method
of Information retrieval. Relations with Web linking are highlighted. Yet, also social aspects related to
the act ofciting, such as the occurrence ofinvisible Colleges, are discussed. The author presents some
recent developments and presents his opinion on somefuture developments. In this way, he hopes the
reader will realize how thefields of citation analysis and Webometrics can be helpful in building social
Information retrieval Systems.
Section VI
Applications and Case Studies in Social Information Retrieval
Chapter XIV
Personalized Information Retrieval in a Semantic Based Learning Environment /
Antonella Carbonaro and Rodolfo Ferrini 270
Active learning is the ability oflearners to carry out learning activities in such a way that they will be able
effectively and ejficiently to construct knowledge from Information sources. Personalized and customizable
access on digital materials collectedfront the Web according to one s own personal requirements and
interests is an example ofactive learning. Moreover, it is also necessary to provide techniques to locate
suitable materials. In this chapter, the authors introduce apersonalized learning environment providing
intelligent support to achieve the expectations ofactive learning. The System exploits collaborative and
semantic approaches to extract concepts from documents and maintain user and resource proßles based
on domain ontologies. In such a way, the retrieval phase takes advantage ofthe common knowledge base
used to extract useful knowledge and produce personalized views ofthe learning System.
Chapter XV
Multi Agent Tourism System (MATS)/Soe Yu Maw and Myo Myo Naing 289
In this chapter the authors propose the architecture ofthe multi agent tourism System (MATS). Tourism
Information on the World Wide Web is dynamic and constanlly changing. It is not easy to obtain relevant
and updated Information for individual user needs. A multi agent System is defined as a collection of
agents that work in conjunction with each other. The objective ofMATS is to provide the most relevant
and updated Information according to the user s interests. It consists of multiple agents with three main
tiers such as the interface module, Information management module, and domain related module. The
authors propose the Rule based Personalization with Collaborative Filtering technique for effective
personalization in MATS which can address the limitations ofpure collaborative filtering such as the
scalability, sparsity, and cold start problems.
Chapter XVI
Hybrid Recommendation Systems: A Case Study on the Movies Domain /
Konstantinos Markellos, Penelope Markellou, Aristotelis Mertis,
Ioanna Mousourouli, Angeliki Panayiotaki, andAthanasios Tsakalidis 311
Recommendation Systems have been used in e commerce sites to makeproduct recommendations and to
provide customers with information that helps them decide which products to buy. The recommendations
are based on different methods and techniques for suggesting products, with the most well known being
collaborative and content based filtering. Recently, several recommendation Systems adopted hybrid
approaches by combining collaborative and content basedfeatures as well as other techniques in order
to avoid their limitations. In this chapter the authors investigate hybrid recommendations Systems and
especially the way they support movie e shops in their attempt to suggest movies to customers. Specifically,
the authors introduce an approach where the knowledge about customers and movies is extracted from
usage mining and ontological data in conjunction with cus tomer movie ratings and matching techniques
between customers. This Integration provides additional knowledge about customers preferences
and allows the production of successful recommendations. Even in the case ofthe cold start problem
where no initial behavioral information is available, the approach can provide logical and relevant
recommendations to the customers. Theprovided recommendations are expectedto have higher accuracy
in matching customers preferences and thus higher acceptance by them. Finally, the authors describe
future trends and challenges and discuss the open issues in thefield.
Compilation of References 336
About the Contributors 365
Index 373
|
| adam_txt |
Table of Contents
Prefiace xiii
Acknowledgment xviii
Section I
Collaborative Querying
Chapter I
Collaborating to Search Effectively in Different Searcher Modes Through Cues
and Specialty Search / Naresh Kumar Agarwal and Danny C.C. Poo 1
Chapter II
Collaborative Querying Using a Hybrid Content and Results based Approach
/ Chandram Sinha Ray, Dion Hoe Lian Goh, Schubert Foo, Nyein Chan Soe Win,
and Khasfariyati Razikin 31
Section II
Collaborative Classification and Organization
Chapter III
Collaborative Classification for Group Oriented Organization of Search Results
I Keüchi Nakata and Amrish Singh 47
Chapter IV
A Case Study of Use Centered Descriptions: Archival Descriptions of What Can
Re Dons vs'xth diCoWection I Richard Butterworth 67
Chapter V
Metadata for Social Recommendations: Storing, Sharing, and Reusing Evaluations
of Learning Resources / Riina Vuorikari, Nikos Manouselis, and Erik Duval 87
Section III
Using Social Networks for Information Retrieval
Chapter VI
Social Network Models for Enhancing Reference Based Search Engine Rankings
I Nikolaos Korfiatis, Miguel Angel Sicilia, Claudia Hess, Klaus Stein, and Christoph Schlieder 109
Chapter VII
From PageRank to Social Rank: Authority Based Retrieval in Social Information
Spaces / Sebastian Marius Kirsch, Melanie Gnasa, Markus Won, and Armin B. Cremers 134
Chapter VIII
Adaptive Peer to Peer Social Networks for Distributed Content Based
Web Search I Le Shin Wu, Ruf Akavipat, Ana Gabriela Maguitman, andFilippo Menczer 155
Section IV
Social Issues
Chapter IX
The Ethics of Social Information Retrieval I Brendan Luyt and Chu Keong Lee 179
Chapter X
The Social Context ofKnowledge / Daniel Memmi 189
Section V
Social Information Seeking Models
Chapter XI
Social Information Seeking in Digital Libraries / George Buchanan and Annika Hinze 209
Chapter XII
Relevant Intra Actions in Networked Environments / Theresa Dirndorfer Anderson 230
Chapter XIII
Publication and Citation Analysis as a Tool for Information Retrieval / Ronald Rousseau 252
Section VI
Applications and Case Studies in Social Information Retrieval
Chapter XIV
Personalized Information Retrieval in a Semantic Based Leaming Environment
/ Antonella Carbonaro and Rodolfo Ferrini 270
Chapter XV
Multi Agent Tourism System (MATS) / Soe Yu Maw and Myo Myo Naing 289
Chapter XVI
Hybrid Recommendation Systems: A Case Study on the Movies Domain
/ Konstantinos Markellos, Penelope Markellou, Aristotelis Mertis,
loanna Mousourouli, Angeliki Panayiotaki, andAthanasios Tsakalidis 311
Compilation of References 336
About the Contributors 365
Index 373
Detailed Table of Contents
Preface xiii
Acknowledgment xviii
Section I
Collaborative Querying
Cbapter I
Collaborating to Search Effectively in Different Searcher Modes Through Cues
and Specialty Search / Naresh Kumar Agarwal and Danny C.C Poo 1
Searchers generalfy have difficidty searching into knowledge repositories because of the quantity of
data involved and because searcher mechanisms are not tailored to their differing needs at different
Points in time. Also, every searcher generalfy searches ahne without taking into account other users
with similar search needs or experience. While the Internet may have contributed to information over
load, the Connectivity it has provides the potential to different searchers to collaborate when looking
for information. In this chapter the authors: (1) review concepts related to social information retrieval
and existing collaborative mechanisms; (2) discuss two collaborative mechanisms—cues and specialty
search; and (3) see cues and specialty search in the context ofthe changing needs ofa searcher in one
offour modes. A case study ofan online portal for the Singapore education Community is used to show
how collaboration could enhance learning and search efßcacy
Chapter II
Collaborative Querying Using a Hybrid Content and Resülts Based Approach
/ Chandrani Sinha Ray, Dion Hoe Lian Goh, Schubert Foo, Nyein Chan Soe Win,
and Khasfariyati Razikin 31
Collaborative querying is a technique that makes use ofpast users 'search experiences in order to help
the current user formulate an appropriate query. In this technique, related queries are extracted from
query logs and clustered. Queries from these clusters that are related to the user 's query are then recom
mended to the user. This work uses a combination of query terms as well as result documents returned by
queries for clustering queries. For the latter, it extracts features such as titles, URLs, and snippets from
the result documents. It also proposes an extended K means clustering algohthmfor clustering queries
over a simple measure ofoverlap. Experimentell results reveal that the best clusters are obtained by using
a combination ofthese sources rather than using only query terms or only result URLs alone.
Section II
Collaborative Classification and Organization
Chapter III
Collaborative Classification for Group Oriented Organization of Search Results
/ Keiichi Nakata andAmrish Singh 47
In this chapter the authors examine the use of collaborative classification to support social information
retrieval by organizing search results. It subscribes to the view that the activity of collaborative classifica¬
tion can be characterized by top down and bottom up approaches, both in terms ofthe nature ofconeept
classification and the process of classification development. Two approaches, collaborative indexing
and search result classification basedon shared classification schemes, are described and compared. It
suggests that by allowing open access to classification development tools to generate shared classifica¬
tion schemes, which in turn become collaborative artifacts, cooperating usergroups will generate their
own coordination mechanisms that are not dependent on the System itself.
Chapter IV
ACase Study of Use Centered Descriptions: Archival Descriptions of What
Can Be Done with aCollection I RichardButterworth 67
In this chapter the author argues the case that there is a mismatch between current metadata Standards
for the description of archival holdings and what many users actually want to know about a collection.
Standard archival descriptions objectively describe what is in a collection, whereas users wish to know
what they can do with a collection. It is argued that matching users 'research questions to lihraiy resources
that couldhelp answer those questions is a crucialsocial roleplayed by librarians, archivists, andother
frontline staff. However placing descriptions ofwhat is in a collection online for users to search directlv
risks disintermediating the users from library staff "Use centered descriptions " are proposed as a way
ofsystematically describing what can be done with a collection, and are, in effect, an encoding of library
staff's knowledge about what can be done with a collection. It is therefore argued that use centered
descriptions repair some of disintermediation gaps caused by putting collection descriptions online. A
theoretical motivation for use centered descriptions is presented by showing how Heaney 's (1999) ana
lytic model of collections, which underlies the Research Support Libraries Program (RSLP) collection
description Standard, only addresses finding and identifying resources. The author augments this model
to address selecting resources from a ränge ofpossibilities andshow how use centered descriptions stem
from this augmentation. A case study is presented demonstrating the experience of developing a set of
use centered descriptions for the Univers ity of London aspart ofa projeet to encourage wider access to
their archival holdings. The projeet had necessarily limited aims, and therefore conclusions are drawn
about the viability of use centered descriptions in wider domains.
Chapter V
Metadata for Social Recommendations: Storing, Sharing, and Reusing Evaluations
ofLearning Resources I Rüna Vuorikari, Nikos Manouselis, and Erik Duval 87
Social information retrieval Systems, such as recommender Systems, can benefit greatlyfrom sharable
and reusable evaluations of online resources. For example, in distributed repositories with rieh collec
tions of learning resources, users can benefit from evaluations, ratings, reviews, annotations, and so
forth that previous users have provided. Furthermore, sharing these evaluations and annotations can
help attain the critical mass ofdata requiredfor social information retrieval Systems to be effective and
efficient. This kind of interoperability requires a common framework that can be used to describe in a
reusable manner the evaluation approach, as well as the results ofthe evaluation. The authors discuss
this coneept, focusing on the rationale for a reusable and interoperable framework, that can be used to
facilitate the representation, management, andreuse of results from the evaluation of learning resources.
For this purpose, the authors review a variety of evaluation approaches for learning resources andstudy
ways in which evaluation results may be characterized, so as to draw requirements for sharable and
reusable evaluation metadata. Usage scenarios illustrate how evaluation metadata can be useful in the
context of recommender Systems for learning resources.
Section III
Using Social Networks for Information Retrieval
Chapter VI
Social Network Models for Enhancing Reference Based Search Engine Rankings /
Nikolaos Korfiatis, Miguel Angel Sicilia, Claudia Hess, Klaus Stein, and Christoph Schlieder. 109
In this chapter the authors discuss the Integration of information retrieval information from two
sources—a social network and a document reference network—for enhancing reference based search
engine rankings. In particular, current modeis of information retrieval are blind to the social context that
surrounds information resources, thus they do not consider the trustworthiness oftheir authors when they
present the query results to the users. Following this point the authors elaborate on the basic intuitions
that highlight the contribution ofthe social context—as can be minedfrom social network positions for
instance—into the improvement ofthe rankings provided in reference based search engines. A review on
ranking modeis in Web search engine retrieval along with social network metrics ofimportance such as
prestige and centrality are provided as background. Then a presentation ofrecent research modeis that
utilize both contexts isprovided, along with a case study in the Internet based encyclopedia Wikipedia,
based on the social network metrics.
Chapter VII
From PageRank to Social Rank: Authority Based Retrieval in Social Information Spaces /
Sebastian Marius Kirsch, Melanie Gnasa, Markus Won, and Armin B. Cremers 134
Social Information Spaces are characterized by the presence ofa social network between participants.
The authors ofthis chapter present methods for utilizing social networks for Information retrieval, by
applying graph authority measures to the social network. The authors show how to integrale authority
measures in an information retrieval algorithm. In order to determine the suitability ofthe described
algorithms, they examine the structure andstatistical properties ofsocial networks, and present examples
of social networks as well as evaluation results.
Chapter VIII
Adaptive Peer to Peer Social Networks for Distributed Content Based Web Search /
Le Shin Wu, Ruj Akavipat, Ana Gabriela Maguitman, and Filippo Menczer 155
In this chapter the authors propose a collaborative peer network application called öSearch (6S) to
address the scalability limitations of centralized search engines. Eachpeer crawls the Web in afocused
way, guided by its user 's information context. Through this approach, better (distributed) coverage can
be achieved. Each peer also acts as a search "servent" (server + dient) by submitting and responding
to queries to/from its neighbors. This search process has no centralized bottleneck. Peers depend on a
local adaptive routing algorithm to dynamically change the topology ofthe peer network and search
for the best neighbors to answer their queries. The authors present and evaluate learning techniques to
improve local query routing. They validate prototypes ofthe 6S network via simulations with 70—500
model users basedon actual Web crawls, and find that the network topology rapidly converges from a
random network to a smali world network, with clusters emergingfrom user communities with shared
interests. Final ly, the authors compare the quality ofthe results with those obtained by centralized search
engines such as Google.
Section IV
Social Issues
Chapter IX
The Ethics of Social Information Retrieval / Brendan Luyt and Chu Keong Lee 179
In this chapter the authors discuss some ofthe social andethical issues associated with social information
retrieval. Using the work of Habermas, they argue that social networking is likely to exacerbate already
disturbing trends towards the fragmentation ofsociety and a corresponding decline reduction in social
diversity. Such a Situation is not conducive to developing a healthy, democratic society. Following the
tradition ofcritical theorists of technology, the authors conclude with a callfor responsible and aware
technological design with more attention paid to the values embedded in new technological Systems.
Chapter X
The Social Context of Knowledge / Daniel Memmi 189
Information andknowledge have become a crucial resource in our knowledge based, computer mediated
economy. But knowledge is primarily a socialphenomenon, on which Computerprocessing has hadonly
a limited impact sofar, in spite of impressive advances. In this context have recently appeared various
collaborative Systems that promise to give access to socially situated Information. The author argues
(hat aprior analysis ofthe social context is necessary for a better understanding ofthe whole domain
of collaborative Software. The author will examine the variety andfunctions of Information in modern
society, where collaborative Information management is now the dominant type of occupation. Infact,
real information is much more complex than its usual technical sense: one should distinguish between
Information and knowledge, as well as between explicit and tacit knowledge. Because ofthe notable
importance of tacit knowledge, social networks are indispensable in practicefor locating relevant infor¬
mation. The author then proposes a typology of collaborative Software, distinguishing between explicit
communities supported by groupware Systems, task oriented communities organized around a common
data structure, and implicit links exploited by collaborative filtering and social information retrieval. The
latter approach is usually implemented by virtually grouping similar users, but there exist manypossible
variants. Yet much remains to be done by extracting, formalizing, and exploiting implicit social links.
Section IV
Social Information Seeking Models
Chapter XI
Social Information Seeking in Digital Libraries / George Buchanan and
Annika Hinze 209
In this chapter the authors demonstrate a number of contrasting uses ofthe social aspects of information
seeking, and through those propose, demonstrate, and realize social modeis of information seeking that
complement existing information seeking modeis and technologies. These inctude: information sharing
among humanities researchers; creation ofprofilesfor continuous, ongoing searching ofmedical mate
rial; and the capture of modeis ofuser behaviors in an interactive, mobile tourist information system.
Front the human perspective the authors illustrate differing social techniques and issues including:
explicit and implicit sharing; seeking facilitated by subject (medical, academic) experts and search
experts (librarians); and anonymized and attributed social environments.
Chapter XII
Relevant Intra Actions in Networked Environments / Theresa Dirndorfer Anderson 230
In this chapter the author uses a study of human assessments ofrelevance to demonstrate how individual
relevancejudgments and retrievalpractices embody collaborative elements that contribute to the overall
progress ofthatperson 's individual work. After discussing key themes ofthe conceptual framework, the
author will discuss two case studies that serve as powerful illustrations ofthese themes for researchers
andpractitioners alike. These case studies—outcomes ofa two year ethnographic exploration ofresearch
practices—illustrate the theoretical position presented in pari one ofthe chapter, providing lessonsfor
the ways thatpeople work with Information Systems to generate knowledge and the conditions that will
support these practices. The author shows that collaboration does not have to be explicit to influence
searcher behavior. It seeks to present both a theoreticalframework and case studies that can be applied
to the design, development, and evaluation ofcollaborative Information retrieval Systems.
Chapter XIII
Publication and Citation Analysis as a Tool for Information Retrieval / Ronald Rousseau 252
In this chapter the author presents an overview of citation analysis, emphasizing its formal aspects as
applied social network theory. As such, citation linking can be considered a toolfor Information retrieval
based on social interaction. It is indeed well known that following citation links is an efficient method
of Information retrieval. Relations with Web linking are highlighted. Yet, also social aspects related to
the act ofciting, such as the occurrence ofinvisible Colleges, are discussed. The author presents some
recent developments and presents his opinion on somefuture developments. In this way, he hopes the
reader will realize how thefields of citation analysis and Webometrics can be helpful in building social
'Information retrieval Systems.
Section VI
Applications and Case Studies in Social Information Retrieval
Chapter XIV
Personalized Information Retrieval in a Semantic Based Learning Environment /
Antonella Carbonaro and Rodolfo Ferrini 270
Active learning is the ability oflearners to carry out learning activities in such a way that they will be able
effectively and ejficiently to construct knowledge from Information sources. Personalized and customizable
access on digital materials collectedfront the Web according to one 's own personal requirements and
interests is an example ofactive learning. Moreover, it is also necessary to provide techniques to locate
suitable materials. In this chapter, the authors introduce apersonalized learning environment providing
intelligent support to achieve the expectations ofactive learning. The System exploits collaborative and
semantic approaches to extract concepts from documents and maintain user and resource proßles based
on domain ontologies. In such a way, the retrieval phase takes advantage ofthe common knowledge base
used to extract useful knowledge and produce personalized views ofthe learning System.
Chapter XV
Multi Agent Tourism System (MATS)/Soe Yu Maw and Myo Myo Naing 289
In this chapter the authors propose the architecture ofthe multi agent tourism System (MATS). Tourism
Information on the World Wide Web is dynamic and constanlly changing. It is not easy to obtain relevant
and updated Information for individual user needs. A multi agent System is defined as a collection of
agents that work in conjunction with each other. The objective ofMATS is to provide the most relevant
and updated Information according to the user 's interests. It consists of multiple agents with three main
tiers such as the interface module, Information management module, and domain related module. The
authors propose the Rule based Personalization with Collaborative Filtering technique for effective
personalization in MATS which can address the limitations ofpure collaborative filtering such as the
scalability, sparsity, and cold start problems.
Chapter XVI
Hybrid Recommendation Systems: A Case Study on the Movies Domain /
Konstantinos Markellos, Penelope Markellou, Aristotelis Mertis,
Ioanna Mousourouli, Angeliki Panayiotaki, andAthanasios Tsakalidis 311
Recommendation Systems have been used in e commerce sites to makeproduct recommendations and to
provide customers with information that helps them decide which products to buy. The recommendations
are based on different methods and techniques for suggesting products, with the most well known being
collaborative and content based filtering. Recently, several recommendation Systems adopted hybrid
approaches by combining collaborative and content basedfeatures as well as other techniques in order
to avoid their limitations. In this chapter the authors investigate hybrid recommendations Systems and
especially the way they support movie e shops in their attempt to suggest movies to customers. Specifically,
the authors introduce an approach where the knowledge about customers and movies is extracted from
usage mining and ontological data in conjunction with cus tomer movie ratings and matching techniques
between customers. This Integration provides additional knowledge about customers'preferences
and allows the production of successful recommendations. Even in the case ofthe cold start problem
where no initial behavioral information is available, the approach can provide logical and relevant
recommendations to the customers. Theprovided recommendations are expectedto have higher accuracy
in matching customers 'preferences and thus higher acceptance by them. Finally, the authors describe
future trends and challenges and discuss the open issues in thefield.
Compilation of References 336
About the Contributors 365
Index 373 |
| any_adam_object | 1 |
| any_adam_object_boolean | 1 |
| author_GND | (DE-588)134027574 |
| building | Verbundindex |
| bvnumber | BV023055305 |
| callnumber-first | Z - Library Science |
| callnumber-label | ZA4230 |
| callnumber-raw | ZA4230 |
| callnumber-search | ZA4230 |
| callnumber-sort | ZA 44230 |
| callnumber-subject | ZA - Information Resources |
| classification_rvk | AN 93000 ST 270 |
| ctrlnum | (OCoLC)145732811 (DE-599)DNB 2007023437 |
| dewey-full | 025.04 |
| dewey-hundreds | 000 - Computer science, information, general works |
| dewey-ones | 025 - Operations of libraries and archives |
| dewey-raw | 025.04 |
| dewey-search | 025.04 |
| dewey-sort | 225.04 |
| dewey-tens | 020 - Library and information sciences |
| discipline | Allgemeines Informatik |
| discipline_str_mv | Allgemeines Informatik |
| format | Book |
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| spelling | Social information retrieval systems emerging technologies and applications for searching the Web effectively Dion Goh ; Schubert Foo [eds.] Hershey, Pa. [u.a.] Information Science Reference 2008 XVIII, 375 S. Ill., graph. Darst. txt rdacontent n rdamedia nc rdacarrier Premier reference source Literaturverz. S. 336-364. - "This book provides relevant content in the areas of information retrieval systems, services, and research; covering topics such as social tagging, collaborative querying, social network analysis, subjective relevance judgments, and collaborative filtering. Answering the increasing demand for authoritative resources on Internet technologies, this will make an indispensable addition to any library collection"--Provided by publisher Includes bibliographical references and index "This book provides relevant content in the areas of information retrieval systems, services, and research; covering topics such as social tagging, collaborative querying, social network analysis, subjective relevance judgments, and collaborative filtering. Answering the increasing demand for authoritative resources on Internet technologies, this will make an indispensable addition to any library collection"--Provided by publisher. Internet searching Web search engines World Wide Web Subject access Information storage and retrieval systems Information retrieval World Wide Web 2.0 (DE-588)7548364-6 gnd rswk-swf Suchmaschine (DE-588)4423007-2 gnd rswk-swf World Wide Web (DE-588)4363898-3 gnd rswk-swf Information Retrieval (DE-588)4072803-1 gnd rswk-swf 1\p (DE-588)4143413-4 Aufsatzsammlung gnd-content Electronic books Information Retrieval (DE-588)4072803-1 s World Wide Web (DE-588)4363898-3 s Suchmaschine (DE-588)4423007-2 s DE-604 World Wide Web 2.0 (DE-588)7548364-6 s Goh, Dion Hoe-Lian Sonstige (DE-588)134027574 oth http://www.loc.gov/catdir/toc/ecip0720/2007023437.html Table of contents only HBZ Datenaustausch application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=016258602&sequence=000004&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis 1\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk |
| spellingShingle | Social information retrieval systems emerging technologies and applications for searching the Web effectively Internet searching Web search engines World Wide Web Subject access Information storage and retrieval systems Information retrieval World Wide Web 2.0 (DE-588)7548364-6 gnd Suchmaschine (DE-588)4423007-2 gnd World Wide Web (DE-588)4363898-3 gnd Information Retrieval (DE-588)4072803-1 gnd |
| subject_GND | (DE-588)7548364-6 (DE-588)4423007-2 (DE-588)4363898-3 (DE-588)4072803-1 (DE-588)4143413-4 |
| title | Social information retrieval systems emerging technologies and applications for searching the Web effectively |
| title_auth | Social information retrieval systems emerging technologies and applications for searching the Web effectively |
| title_exact_search | Social information retrieval systems emerging technologies and applications for searching the Web effectively |
| title_exact_search_txtP | Social information retrieval systems emerging technologies and applications for searching the Web effectively |
| title_full | Social information retrieval systems emerging technologies and applications for searching the Web effectively Dion Goh ; Schubert Foo [eds.] |
| title_fullStr | Social information retrieval systems emerging technologies and applications for searching the Web effectively Dion Goh ; Schubert Foo [eds.] |
| title_full_unstemmed | Social information retrieval systems emerging technologies and applications for searching the Web effectively Dion Goh ; Schubert Foo [eds.] |
| title_short | Social information retrieval systems |
| title_sort | social information retrieval systems emerging technologies and applications for searching the web effectively |
| title_sub | emerging technologies and applications for searching the Web effectively |
| topic | Internet searching Web search engines World Wide Web Subject access Information storage and retrieval systems Information retrieval World Wide Web 2.0 (DE-588)7548364-6 gnd Suchmaschine (DE-588)4423007-2 gnd World Wide Web (DE-588)4363898-3 gnd Information Retrieval (DE-588)4072803-1 gnd |
| topic_facet | Internet searching Web search engines World Wide Web Subject access Information storage and retrieval systems Information retrieval World Wide Web 2.0 Suchmaschine World Wide Web Information Retrieval Aufsatzsammlung Electronic books |
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