Handbook of research on web log analysis:
Gespeichert in:
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| Format: | Buch |
| Sprache: | English |
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Hershey, Pa. [u.a.]
Information Science Reference/IGI Global
2009
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| Beschreibung: | XXIV, 603 S. graph. Darst. |
| ISBN: | 9781605669748 9781599049748 |
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| adam_text | Table of Contents
Preface xix
Chapter I
Research and Methodological Foundations of Transaction Log Analysis 1
Bernard J. Jansen, Pennsylvania State University, USA
Isak Taksa, Baruch College, City University ofNew York. USA
Amanda Spink, Queensland University of Technology, Australia
Section I
Web Log Analysis: Perspectives, Issues, and Directions
Chapter II
Historie Perspective of Log Analysis 18
W. David Penniman, Nylink, USA
Chapter III
Surveys as a Complementary Method for Web Log Analysis 39
Lee Rainie, Pew Internet American Life Project, USA
Bernard J. Jansen, Pennsylvania State University, USA
Chapter IV
Watching the Web: An Ontological and Epistemological Critique of Web-Traffic Measurement 65
Sam Ladner, McMaster University, Canada
Chapter V
Privacy Concerns for Web Logging Data 80
Kirstie Hawkey, University ofBritish Columbia, Canada
Section II
Methodology and Metrics
Chapter VI
The Methodology of Search Log Analysis 100
Bernard J. Jansen, Pennsylvania State University, USA
Chapter VII
Uses, Limitations, and Trends in Web Analytics 124
Anthony Ferrini, Acquiremarketing.com, USA
Jakki J. Mohr, University of Montana, USA
Chapter VIII
A Review of Methodologies for Analyzing Websites 143
Danielle Booth, Pennsylvania State University, USA
Bernard J. Jansen, Pennsylvania State University, USA
Chapter IX
The Unit of Analysis and the Validity of Web Log Data 165
Gi Woong Yun, Bowling Green State University, USA
Chapter X
Recommendations for Reporting Web Usage Studies 181
Kirstie Hawkey University ofBritish Columbia, Canada
Melanie Kellar, Google, USA
Section III
Behavior Analysis
Chapter XI
From Analysis to Estimation of User Behavior 206
Seda Ozmutlu, Uludag University, Turkey
Huseyin C. Ozmutlu, Uludag University, Turkey
Amanda Spink, Queensland University of Technology, Australia
Chapter XII
An Integrated Approach to Interaction Design and Log Analysis 227
Gheorghe Muresan, Microsoft Corporation, USA
Chapter XIII
Tips for Tracking Web Information Seeking Behavior 256
Brian Detlor, McMaster University, Canada
Maureen Hupfer, McMaster University, Canada
Umar Ruhi, University of Ottawa, Canada
Chapter XIV
Identifying Users Stereotypes for Dynamic Web Pages Customization 284
Sandro Jose Rigo, Universidade Federal do Rio Grande do Sul (UFRGS), Brazil
Jose Palazzo M. de Oliveira, Universidade Federal do Rio Grande do Sul (UFRGS), Brazil
Leandro Krug Wives, Universidade Federal do Rio Grande do Sul (UFRGS), Brazil
Chapter XV
Finding Meaning in Online, Very-Large Scale Conversations 307
Brian K. Smith, Pennsylvania State University, USA
Priya Sharma, Pennsylvania State University, USA
Kyu Yon Lim, Pennsylvania State University, USA
Goknur Kaplan Akilli, Pennsylvania State University, USA
KyoungNa Kim, Pennsylvania State University, USA
Toru Fujimoto, Pennsylvania State University, USA
Paula Hooper, TERC, USA
Section IV
Query Log Analysis
Chapter XVI
Machine Learning Approach to Search Query Classification 329
Isak Taksa, Baruch College, City University o/New York, USA
Sarah Zelikovitz, The College ofStaten Island, City University o/New York, USA
Amanda Spink, Queensland University of Technology, Australia
Chapter XVII
Topic Analysis and Identification of Queries 345
Seda Ozmutlu, Uludag University, Turkey
Huseyin C. Ozmutlu, Uludag University, Turkey
Amanda Spink, Queensland University of Technology, Australia
Chapter XVIII
Query Log Analysis in Biomedicine 359
Eimer V. Bernstam, University of Texas Health Science Center at Houston, USA
Jorge R. Herskovic, University of Texas Health Science Center at Houston, USA
William R. Hersh, Oregon Health Science University, USA
Chapter XIX
Processing and Analysis of Search Query Logs in Chinese 378
Michael Chau, The University ofHong Kong, Hong Kong
Yan Lu, The University ofHong Kong, Hong Kong
Xiao Fang, The University of Toledo, USA
Christopher C. Yang, Drexel University, USA
ChapterXX
Query Log Analysis for Adaptive Dialogue-Driven Search 389
Udo Kruschwitz, University ofEssex, UK
Nick Webb, SUNYAlbany, USA
Richard Sutcliffe, University of Limerick, Ireland
Section V
Contextual and Specialized Analysis
Chapter XXI
Using Action-Object Pairs as a Conceptual Framework for Transaction Log Analysis 416
Mimi Zhang, Pennsylvania State University, USA
Bernard J. Jansen, Pennsylvania State University, USA
Chapter XXII
Analysis and Evaluation of the Connector Website 436
Paul DiPerna, The Blau Exchange Project, USA
Chapter XXIII
Information Extraction from Blogs 469
Marie-Francine Moens, Katholieke Universiteit Leuven, Belgium
Chapter XXIV
Nethnography: ANaturalistic Approach Towards Online Interaction 488
Adriana Andrade Braga, Pontificia Universidade Catölica do Rio de Janeiro, Brazil
Chapter XXV
Web Log Analysis: Diversity of Research Methodologies 506
hak Taksa, Baruch College, City University ofNew York, USA
Amanda Spink, Queensland University of Technology, Australia
Bernard J. Jansen, Pennsylvania State University, USA
Glossary 523
Compilation of References 538
About the Contributors 593
Index 601
Detailed Table of Contents
Preface xix
Chapter I
Research and Methodological Foundations of Transaction Log Analysis 1
Bernard J. Jansen, Pennsylvania State University, USA
Isak Taksa, Baruch College, City University ofNew York. USA
Amanda Spink, Queensland University of Technology, Australia
This chapter outlines and discusses theoretical and methodological foundations for transaction log
analysis. It first addresses the fundamentals of transaction log analysis from a research viewpoint and
the concept of transaction logs as a data collection technique from the perspective of behaviorism. From
this research foundation, it then moves to the methodological aspects of transaction log analysis and
examine the strengths and limitation of transaction logs as trace data. The chapter then reviews the con-
ceptualization of transaction log analysis as an unobtrusive approach to research, and presents the power
and deficiency of the unobtrusive methodological concept, including benefits and risks of transaction
log analysis specifically from the perspective of an unobtrusive method. Some of the ethical questions
concerning the collection of data via transaction log application are discussed.
Section I
Web Log Analysis: Perspectives, Issues, and Directions
Chapter II
Historie Perspective of Log Analysis 18
W. David Penniman, Nylink, USA
This historical review of the birth and evolution of transaction log analysis applied to information re-
trieval Systems provides two perspectives. First, a detailed discussion of the early work in this area, and
second, how this work has migrated into the evaluation of World Wide Web usage. The chapter describes
the techniques and studies in the early years and makes suggestions for how that knowledge can be ap¬
plied to current and future studies. A discussion of privaey issues with a framework for addressing the
same is presented as well as an overview of the historical eras of transaction log analysis. The chapter
concludes with the Suggestion that a combination of transaction log analysis of the type used early in its
application along with additional more qualitative approaches will be essential for a deep understanding
of user behavior (and needs) with respect to current and future retrieval Systems and their design.
Chapter III
Surveys as a Complementary Method for Web Log Analysis 39
Lee Rainie, Pew Internet American Life Project, USA
Bernard J. Jansen, Pennsylvania State University, USA
Every research methodology for data collection has both strengths and limitations, and this is certainly
true for transaction log analysis. Therefore, researchers often need to use other data collection methods
with transaction logs. This chapter discusses surveys as a viable alternate method for transaction log
analysis. The chapter presents a brief review of survey research literature, with a focus on the use of
surveys for Web-related research. We identify the Steps in implementing survey research and designing
a survey instrument. The chapter concludes with a case study of a large electronic survey to illustrate
what surveys in conjunction with transaction logs can bring to a research study.
Chapter IV
Watching the Web: An Ontological and Epistemological Critique of Web-Traffic Measurement 65
Sam Ladner, McMaster University, Canada
This chapter aims to improve the rigor and legitimacy of Web-traffic measurement as a social research
method. The chapter compares two dominant forms of Web-traffic measurement and discusses the im-
plicitand largely unexamined ontological and epistemological Claims of both methods. Like all research
methods, Web-traffic measurement has implicit ontological and epistemological assumptions embedded
within it. An ontology determines what a researcher is able to discover, irrespective of method, because
it provides a frame within which phenomena can be rendered intelligible. The chapter argues that
¦ Web-traffic measurement employs an ostensibly quantitative, positivistic ontology and epistemology
in hopes of cementing the scientific legitimacy they engender. These Claims to scientific method
are unsubstantiated, thereby limiting the efficacy and adoption rates of log-file analysis in general. The
chapter offers recommendations for improving these measurement tools, including more reflexivity and
an explicit rejection of truth Claims based on positivistic science.
Chapter V
Privacy Concerns for Web Logging Data 80
Kirstie Hawkey, University ofBritish Columbia, Canada
This chapter examines two aspects of privacy concerns that must be considered when conducting studies
that include the collection of Web logging data. After providing background about privacy concerns,
the chapter first addresses the Standard privacy issues when dealing with participant data. These include
privacy implications of releasing data, methods of safeguarding data, and issues encountered with re-use
of data. Second, the impact of data collection techniques on a researcher s ability to capture natural user
behaviors is discussed. Key recommendations are offered about how to enhance participant privacy when
collecting Web logging data to encourage these natural behaviors. The chapter aim is that understanding
the privacy issues associated with the logging of user actions on the Web will assist researchers as they
evaluate the tradeoffs inherent between the type of logging conducted, the richness of the data gathered,
and the naturalness of captured user behavior.
Section II
Methodology and Metrics
Chapter VI
The Methodology of Search Log Analysis 100
Bernard J. Jansen, Pennsylvania State University, USA
Exploiting the data stored in search logs of Web search engines, Intranets, and Websites can provide
important insights into understanding the information searching tactics of online searchers. This under-
standing can inform information System design, interface development, and information architecture
construction for content collections. This chapter presents a review of and foundation for conducting
Web search transaction log analysis. A search log analysis methodology is outlined consisting of three
stages (i.e., collection, preparation, and analysis). The three stages of the methodology are presented in
detail with discussions of the goals, metrics, and processes at each stage. The critical terms in transaction
log analysis for Web searching are defined. Suggestions are provided on ways to leverage the strengths
and addressing the limitations of transaction log analysis for Web searching research.
Chapter VII
Uses, Limitations, and Trends in Web Analytics 124
Anthony Ferrini, Acquiremarketing.com, USA
Jakki J. Mohr, University of Montana, USA
As the Web s popularity continues to grow and as new uses of the Web are developed, the importance
of measuring the Performance of a given Website as accurately as possible also increases. This chapter
discusses the various uses of Web analytics (how Web log files are used to measure a Website s perfor-
mance), as well as the limitations of these analytics. We discuss options for overcoming these limitations,
new trends in Web analytics—including the integration of technology and marketing techniques—and
challenges posed by new Web 2.0 technologies. After reading this chapter, readers should have a nuanced
understanding of the how-to s of Web analytics.
Chapter VIII
A Review of Methodologies for Analyzing Websites 143
Danielle Booth, Pennsylvania State University, USA
Bernard J. Jansen, Pennsylvania State University, USA
This chapter is an overview of the process of Web analytics for Websites. It outlines how basic visitor
information such as number of visitors and visit duration can be collected through the use of log files
and page tagging. This basic information is then combined to create meaningful key Performance indi-
cators that are tailored not only to the business goals of the Company running the Website, but also to
the goals and content of the Website. Finally, this chapter presents several analytic tools and expiains
how to choose the right tool for the needs of the Website. The ultimate goal of this chapter is to provide
methods for increasing revenue and customer satisfaction through careful analysis of visitor interaction
with a Website.
Chapter IX
The Unitof Analysis and the Validity of Web Log Data 165
Gi Woong Yun, Bowling Green State University, USA
This chapter discusses validity of units of analysis of Web log data. First, Web log units are compared
to the unit of analysis of television to understand the conceptual issues of media use unit of analysis.
Second, the validity of both Client-side and Server-side Web log data are examined along with benefits
and shortcomings of each Web log data. Each method has implications on cost, privacy, cache memory,
session, attention, and many other areas of concerns. The challenges were not only theoretical but, also,
methodological. In the end, Server-side Web log data turns out to have more potentials than it is originally
speculated. Nonetheless, researchers should decide the best research method for their research and they
should carefully design research to claim the validity of their data. This chapter provides some valuable
recommendations for both Client-side and Server-side Web log researchers.
Chapter X
Recommendations for Reporting Web Usage Studies 181
Kirstie Hawkey, University ofBritish Columbia, Canada
Melanie Kellar, Google, USA
This chapter presents recommendations for reporting context in studies of Web usage including Web
browsing behavior. These recommendations consist of eight categories of contextual information cru-
cial to the reporting of results: user characteristics, temporal information, Web browsing environment,
nature of the Web browsing taste, data collection methods, descriptive data reporting, statistical analysis,
and results in the context of prior work. This chapter argues that the Web and its user population are
constantly growing and evolving. This changing temporal context can make it difficult for researchers
to evaluate previous work in the proper context, particulariy when detailed information about the user
population, experimental methodology, and results is not presented. The adoption of these recommen¬
dations will allow researchers in the area of Web browsing behavior to more easily replicate previous
work, make comparisons between their current work and previous work, and build upon previous work
to advance the field.
Section III
Behavior Analysis
Chapter XI
From Analysis to Estimation of User Behavior 206
Seda Ozmutlu, Uludag University, Turkey
Huseyin C. Ozmutlu, Uludag University, Turkey
Amanda Spink, Queensland University of Technology, Australia
This chapter summarizes the progress of search engine user behavior analysis from search engine
transaction log analysis to estimation of user behavior. Correct estimation of user information searching
behavior paves the way to more successful and even personalized search engines. However, estimation of
user behavior is not a simple task. It closely relates to natural language processing and human Computer
interaction, and requires preliminary analysis of user behavior and careful user profiling. This chapter
details the studies performed on analysis and estimation of search engine user behavior, and surveys
analytical methods that have been and can be used, and the challenges and research opportunities related
to search engine user behavior or transaction log query analysis and estimation.
Chapter XII
An Integrated Approach to Interaction Design and Log Analysis 227
Gheorghe Muresan, Microsoft Corporation, USA
This chapter describes and discusses a methodological framework that integrates analysis of interaction
logs with the conceptual design of the user interaction. It is based on (i) formalizing the functionality that
is supported by an interactive System and the valid interactions that can take place; (ii) deriving Schemas
for capturing the interactions in activity logs; (iii) deriving log parsers that reveal the System states and
the State transitions that took place during the interaction; and (iv) analyzing the user activities and the
system s State transitions in order to describe the user interaction or to test some research hypotheses.
This approach is particularly useful for studying user behavior when using highly interactive Systems.
We present the details of the methodology, and exemplify its use in a mediated retrieval experiment, in
which the focus of the study is on studying the information-seeking process and on finding interaction
pattern s.
Chapter XIII
Tips for Tracking Web Information Seeking Behavior 256
Brian Detlor, McMaster University, Canada
Maureen Hupfer, McMaster University, Canada
Umar Ruhi, University of Ottawa, Canada
This chapter provides various tips for practitioners and researchers who wish to track end-user Web
information seeking behavior. These tips are derived in large part from the authors own experience
of collecting and analyzing individual differences, task, and Web tracking datato investigate people s
online information seeking behaviors at a specific municipal Community portal site (myhamilton.ca).
The tips discussed in this chapter include: i) the need to account for both task and individual differences
in any Web information seeking behavior analysis; ii) how to collect Web metrics through deployment
of a unique ID that links individual ditferences, task, and Web tracking data together; iii) the types of
Web log metrics to collect; iv) how to go about collecting and making sense of such metrics; and v) the
importance of addressing privacy concerns at the start of any collection of Web tracking information.
Chapter XIV
Identifying Users Stereotypes for Dynamic Web Pages Customization 284
Sandro Jose Rigo, Universidade Federal do Rio Grande do Sul (UFRGS), Brazil
Jose Palazzo M. de Oliveira, Universidade Federal do Rio Grande do Sul (UFRGS), Brazil
Leandro Krug Wives, Universidade Federal do Rio Grande do Sul (UFRGS), Brazil
Adaptive Hypermedia is an effective approach to automatic personalization that overcomes the dif-
ficulties and deficiencies of traditional Web Systems in delivermg the appropriate content to users. One
important lssue regarding Adaptive Hypermedia Systems is the construction and maintenance of the user
profile. Another important concern is the use of Semantic Web resources to describe Web applications
and to implement adaptation mechamsms. Web Usage Mining, in this context, allows the generation
of Websites access patterns. This chapter descnbes the possibilities of integration of these usage pat¬
terns with semantic knowledge obtained from domain ontologies. Thus, lt is possible to identify users
stereotypes for dynamic Web pages customization. This integration of semantic knowledge can provide
personalization Systems with better adaptation strategies.
Chapter XV
Finding Meamng in Online, Very-Large Scale Conversations 307
Brian K. Smith, Pennsylvania State University, USA
Priya Sharma, Pennsylvania State University, USA
Kyu Yon Lim, Pennsylvania State University, USA
Goknur Kaplan Akilli, Pennsylvania State University, USA
KyoungNa Kim, Pennsylvania State University, USA
Toru Fujimoto, Pennsylvania State University, USA
Paula Hooper, TERC, USA
Computers and networking technologies have led to increases in the development and sustenance of
online communities, and much research has focused on examining the formation of and interactions
within these Virtual communities. The methods for collecting data and analyzing Virtual online com¬
munities, especially very large-scale online discussion forums can be varied and complex. This chapter
descnbes two analytical methods—qualitative data analysis and Social Network Analysis (SNA)-that
we used to examine conversations within ESPN s Fast Break Community, which focuses on fantasy bas-
ketball sports games. Two different levels of analyses—the individual and Community level—allowed
us to examine individual refiection on game strategy and decision-making as well as characteristics of
the Community and patterns of interactions between participants within Community. The description of
our use of these two analytical methods can help researchers and designers who may be attempting to
analyze and characterize other large-scale Virtual communities.
Section IV
Query Log Analysis
Chapter XVI
Machine Learning Approach to Search Query Classification 329
hak Taksa, Baruch College, City University o/New York, USA
Sarah Zelikovitz, The College ofStaten Island, City University ofNew York, USA
Amanda Spink, Queensland University of Technology, Australia
Search query classification is a necessary step for a number of Information retrieval tasks. This chapter
presents an approach to non-hierarchical classification of search queries that focuses on two specific
areas of machine leaming: short text classification and limited manual labeling. Typically, search que-
ries are short, display little class specific Information per Single query and are therefore a weak source
for traditional machine learning. To improve the effectiveness of the classification process the chapter
introduces background knowledge discovery by using information retrieval techniques. The proposed
approach is applied to a task of age classification of a corpus of queries from a commercial search en-
gine. In the process, various classification scenarios are generated and executed, providing insight into
choice, significance and ränge of tuning parameters.
Chapter XVII
Topic Analysis and Identification of Queries 345
Seda Ozmutlu, Uludag University, Turkey
Huseyin C. Ozmutlu, Uludag University, Turkey
Amanda Spink, Queensland University of Technology, Australia
This chapter emphasizes topic analysis and identification of search engine user queries. Topic analysis
and identification of queries is an important task related to the discipline of information retrieval which
is a key element for the development of successful personalized search engines. Topic identification of
text is also no simple task, and a problem yet unsolved. The problem is even harder for search engine
user queries due to real-time requirements and the limited number of terms in the user queries. The
chapter includes a detailed literature review on topic analysis and identification, with an emphasis on
search engine user queries, a survey of the analytical methods that have been and can be used, and the
challenges and research opportunities related to topic analysis and identification.
Chapter XVIII
Query Log Analysis in Biomedicine 359
Eimer V. Bernstam, University of Texas Health Science Center at Houston, USA
Jorge R Herskovic, University of Texas Health Science Center at Houston, USA
William R. Hersh, Oregon Health Science University, USA
Clinicians, researchers and members of the general public are increasingly using information technol-
ogy to cope with the explosion in biomedical knowledge. This chapter describes the purpose of query
log analysis in the biomedical domain as well as features of the biomedical domain such as controlled
vocabularies (ontologies) and existing infrastructure useful for query log analysis. This chapter focuses
specifically on MEDLINE, which is the most comprehensive bibliographic database of the world s bio¬
medical literature, the PubMed interface to MEDLINE, the Medical Subject Headings vocabulary and the
Unified Medical Language System. However, the approaches discussed here can also be applied to other
query logs. The chapter concludes with a look toward the future of biomedical query log analysis.
Chapter XIX
Processing and Analysis of Search Query Logs in Chinese 378
Michael Chau, The University ofHong Kong, Hong Kong
Yan Lu, The University ofHong Kong, Hong Kong
Xiao Fang, The University of Toledo, USA
Christopher C. Yang, Drexel University, USA
More non-English contents are now available on the World Wide Web and the number of non-English
users on the Web is increasing. While it is important to understand the Web searching behavior of these
non-English users, many previous studies on Web query logs have focused on analyzing English search
logs and their results may not be directly applied to other languages. This chapter we discusses some
methods and techniques that can be used to analyze search queries in Chinese. We also show an example
of applying our methods on a Chinese Web search engine. Some interesting findings are reported.
Chapter XX
Query Log Analysis for Adaptive Dialogue-Driven Search 389
Udo Kruschwitz, University of Essex, UK
Nick Webb, SUNYAlbany USA
Richard Sutcliffe, University of Limerick, Ireland
The theme of this chapter is the improvement of Information Retrieval and Question Answering Systems
by the analysis of query logs. Two case studies are discussed. The first describes an intranet search en¬
gine working on a university campus which can present sophisticated query modifications to the user.
It does this via a hierarchical domain model built using multi-word term co-occurrence data. The usage
log was analysed using mutual information scores between a query and its refinement, between a query
and its replacement, and between two queries occurring in the same Session. The results can be used to
validate refinements in the domain model, and to suggest replacements such as domain-dependent spell-
ing corrections. The second case study describes a dialogue-based question answering System working
over a closed document collection largely derived from the Web. Logs here are based around explicit
sessions in which an analyst interacts with the System. Analysis of the logs has shown that certain types
of interaction lead to increased precision of the results. Future versions of the System will encourage
these forms of interaction. The conclusions of this chapter are firstly that there is a growing literature on
query log analysis, much of it reviewed here, secondly that logs provide many forms of useful informa¬
tion for improving a System, and thirdly that mutual information measures taken with automatic term
recognition algorithms and hierarchy construction techniques comprise one approach for enhancing
System Performance.
Section V
Contextual and Specialized Analysis
Chapter XXI
Using Action-Object Pairs as a Conceptual Framework for Transaction Log Analysis 416
Mimi Zhang, Pennsylvania State University, USA
Bernard J. Jansen, Pennsylvania State University, USA
This chapter presents the action-object pair approach as a conceptual framework for conducting transac¬
tion log analysis. We argue that there are two basic components in the interaction between the user and
the System recorded in a transaction log, which are action and object. An action is a specific expression
of the user. An object is a self-contained information object, the recipient of the action. These two com¬
ponents form one interaction set or an action-object pair. A series of action-object pairs represents the
interaction session. The action-object pair approach provides a conceptual framework for the collection,
analysis, and understanding of data from transaction logs. The chapter proposes that this approach can
benefit System design by providing the organizing principle for implicit feedback and other interactions
concerning the user and delivering, for example, personalized Service to the user based on this feedback.
Action-object pairs also provide a worthwhile approach to advance our theoretical and conceptual un¬
derstanding of transaction log analysis as a research method.
Chapter XXII
Analysis and Evaluation of the Connector Website 436
Paul DiPerna, The Blau Exchange Project, USA
This chapter proposes a new theoretical construct for evaluating Websites that facilitate online social
networks. The suggested model considers previous academic work related to social networks and online
communities. This chapter s main purpose is to define a new kind of social Institution, called a connector
Website , and provide a means for objectively analyzing web-based organizations that empower users
to form online social networks. Several statistical approaches are used to gauge website-level growth,
trend lines, and volatility. This project sets out to determine whether or not particular connector Websites
can be mechanisms for social change, and to quantify the nature of the observed social change. The
chapter s aim is to introduce new applications for Web log analysis by evaluating connector Websites
and their organizations.
Chapter XXIII
Information Extraction from Blogs 469
Marie-Franc ine Moens, Katholieke Universiteit Leuven, Belgium
This chapter introduces information extraction from blog texts. It argues that the classical techniques for
information extraction that are commonly used for mining well-formed texts lose some of their validity
in the context of blogs. This finding is demonstrated by considering each step in the information extrac¬
tion process and by illustrating this problem in different applications. In order to tackle the problem of
mining content from blogs, algorithms are developed that combine different sources of evidence in the
most flexible way. The chapter concludes with ideas for future research.
Chapter XXIV
Nethnography: A Naturalistic Approach Towards Online Interaction 488
Adriana Andrade Braga, Pontificia Universidade Catölica do Rio de Janeiro, Brazil
This chapter explores the possibilities and limitations of nethnography, an ethnographic approach applied
to the study of online interactions, particularly computer-mediated communication. In this chapter, a
brief history of ethnography, including its relation to anthropological theories and its key methodological
assumptions is addressed. Next, one of the most frequent methodologies applied to Internet settings, that
is to treat logfiles as the only or main source of data, is explored, and its consequences are analyzed. In
addition, some strategies related to a naturalistic perspective for data analysis are examined. Finally, an
example of an ethnographic study that involves participants of a Weblog is presented to illustrate the
potential for nethnography to enhance the study of computer-mediated communication.
Chapter XXV
Web Log Analysis: Diversity of Research Methodologies 506
Isak Taksa, Baruch College, City University ofNew York, USA
Amanda Spink, Queensland University of Technology, Australia
Bernard J. Jansen, Pennsylvania State University, USA
Web log analysis is an innovative and unique field constantly formed and changed by the convergence
of various emerging Web technologies. Due to its interdisciplinary character, the diversity of issues it
addresses, and the variety and number of Web applications, it is the subject of many distinctive and
diverse research methodologies. This chapter examines research methodologies used by contributing
authors in preparing the individual chapters for this handbook, summarizes research results, and proposes
new directions for future research in this area.
Glossary 523
Compilation of References 538
About the Contributors 593
Index 601
|
| any_adam_object | 1 |
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| author_facet | Jansen, Bernard J. |
| building | Verbundindex |
| bvnumber | BV025525119 |
| classification_rvk | ST 252 |
| ctrlnum | (OCoLC)836912288 (DE-599)BVBBV025525119 |
| dewey-full | 006.312 |
| dewey-hundreds | 000 - Computer science, information, general works |
| dewey-ones | 006 - Special computer methods |
| dewey-raw | 006.312 |
| dewey-search | 006.312 |
| dewey-sort | 16.312 |
| dewey-tens | 000 - Computer science, information, general works |
| discipline | Informatik |
| format | Book |
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| illustrated | Illustrated |
| indexdate | 2024-07-09T22:35:57Z |
| institution | BVB |
| isbn | 9781605669748 9781599049748 |
| language | English |
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| physical | XXIV, 603 S. graph. Darst. |
| publishDate | 2009 |
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| spelling | Handbook of research on web log analysis Bernard J. Jansen... Hershey, Pa. [u.a.] Information Science Reference/IGI Global 2009 XXIV, 603 S. graph. Darst. txt rdacontent n rdamedia nc rdacarrier Informationssystem (DE-588)4072806-7 gnd rswk-swf Supply Chain Management (DE-588)4684051-5 gnd rswk-swf 1\p (DE-588)4143413-4 Aufsatzsammlung gnd-content Supply Chain Management (DE-588)4684051-5 s Informationssystem (DE-588)4072806-7 s DE-604 Jansen, Bernard J. edt HBZ Datenaustausch application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=020132808&sequence=000002&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 | Handbook of research on web log analysis Informationssystem (DE-588)4072806-7 gnd Supply Chain Management (DE-588)4684051-5 gnd |
| subject_GND | (DE-588)4072806-7 (DE-588)4684051-5 (DE-588)4143413-4 |
| title | Handbook of research on web log analysis |
| title_auth | Handbook of research on web log analysis |
| title_exact_search | Handbook of research on web log analysis |
| title_full | Handbook of research on web log analysis Bernard J. Jansen... |
| title_fullStr | Handbook of research on web log analysis Bernard J. Jansen... |
| title_full_unstemmed | Handbook of research on web log analysis Bernard J. Jansen... |
| title_short | Handbook of research on web log analysis |
| title_sort | handbook of research on web log analysis |
| topic | Informationssystem (DE-588)4072806-7 gnd Supply Chain Management (DE-588)4684051-5 gnd |
| topic_facet | Informationssystem Supply Chain Management Aufsatzsammlung |
| url | http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=020132808&sequence=000002&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA |
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