The Semantic Web for knowledge and data management: technologies and practices
"This book discusses the Semantic Web, as an extension of the current World Wide Web in which information is given well-defined, better enabling computers and people to work in cooperation"--Provided by publisher.
Saved in:
| Format: | Book |
|---|---|
| Language: | English |
| Published: |
Hershey, PA
Information Science Reference
2009
|
| Series: | Premier reference source
|
| Subjects: | |
| Online Access: | Inhaltsverzeichnis |
| Summary: | "This book discusses the Semantic Web, as an extension of the current World Wide Web in which information is given well-defined, better enabling computers and people to work in cooperation"--Provided by publisher. |
| Item Description: | "Premier reference source"--Cover. Includes bibliographical references (p. 316-358) and index -- "This book discusses the Semantic Web, as an extension of the current World Wide Web in which information is given well-defined, better enabling computers and people to work in cooperation"--Provided by publisher. |
| Physical Description: | XVI, 367 S. Ill. 29 cm |
| ISBN: | 1605660280 9781605660288 |
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| adam_text | Table
of Contents
Preface
..................................................................................................................................................
xl
Acknowledgment
................................................................................*..............................................
XV1
Section I
Chapter I
Contextual Hierarchy Driven Ontology Learning
.................................................................................1
Lobna
Karoui, Ecole Supérieure d Electricité,
France
Chapter
Π
A Review of Fuzzy Models for the Semantic Web
..............................................................................23
Hailong Wang, Northeastern University, China
Zongmin Ma, Northeastern University, China
Li Yan, Northeastern University, China
Jingwei Cheng, Northeastern University, China
Chapter
Ш
Improving Storage Concepts for Semantic Models and Ontologies
....................................................38
Edgar R. Weippl, Vienna University of Technology, Austria
Markus
D.
Klemen,
Vienna University of
Technology,
Austria
Stefan
Raffeiner,
Vienna University of Technology, Austria
Chapter IV
Ontologies and Intelligent Agents: A Powerful Bond
..........................................................................49
Kostas
Kolomvatsos, National and Kapodistrian University of Athens, Greece
Stathes Hadjiefthymiades, National and Kapodistrian University of Athens, Greece
Chapter V
Probabilistic Models for the Semantic Web: A Survey
........................................................................74
Livia Predoiu, University of Mannheim, Germany
Heiner Stuckenschmidt,
University of Mannheim, Germany
Chapter VI
Automatic Semantic Annotation Using Machine Learning
...............................................................106
Jie Tang, Tsinghua University, Beijing, China
Duo Zhang, University of Illinois, Urbana-Champaign, USA
Limin Yao, Tsinghua University, Beijing, China
Yi Li, Tsinghua University, Beijing, China
Section II
Chapter
VII
Paving the Way to an Effective and Efficient Retrieval of Data over
Semantic Overlay Networks
..............................................................................................................151
Federica Mandreoli,
University of
Modena
and
Reggio
Emilia, Italy
Riccardo Martoglia, University of
Modena
and
Reggio
Emilia, Italy
Wilma
Penzo,
University of Bologna, Italy
Simona Sassatelli,
University of
Modena
and
Reggio
Emilia, Italy
Giorgio
Villani,
University of
Modena
and
Reggio
Emilia, Italy
Chapter
VIII
SWARMS: A Platform for Domain Knowledge Management and Applications
..............................176
Jie Tang, Tsinghua University, Beijing, China
Bangyong Liang, NEC Labs, China
Juanzi Li, Tsinghua University, Beijing, China
Chapter IX
Modeling and Querying XML-Based P2P Information Systems:
A Semantics-Based Approach
............................................................................................................207
Alfredo Cuzzocrea, University of Calabria, Italy
Section
ΠΙ
Chapter X
Applying Semantic Web to E-Tourism
..............................................................................................243
Danica Damljanović,
University of Sheffield, UK
Vladan
Devedžić,
University of Belgrade, Serbia
Chapter XI
Semantic Web in Ubiquitous Mobile Communications
.....................................................................266
Anna V. Zhdanova, The Telecommunications Research Center Vienna, Austria
Ning Li,
University of Surrey, UK
Klaus Moessner, University of Surrey, UK
Chapter
XII
Design Diagrams as Ontological Sources: Ontology Extraction and Utilization
for Software Asset Reuse
...................................................................................................................288
Kalapriya
Karman, IBM
India Research Labs, India
Biplav Srivastava, IBM India Research Labs, India
Compilation of References
..............................................................................................................316
About the Contributors
...................................................................................................................359
Index
................................................................................................................................................365
Detailed Table of Contents
Preface
..................................................................................................................................................xi
Acknowledgment
...............................................................................................................................xvi
Section I
Chapter I
Contextual Hierarchy Driven Ontology Learning
.................................................................................1
Lobna
Karoui, Ecole Supérieure d Electricité,
France
This chapter defines a hierarchical clustering algorithm namely Contextual Concept Discovery
(CCD),
based on an incremental use of the partitioning algorithm Kmeans, guided by a structural contextual
definition and providing a web driven evaluation task to support the domain experts. The
CCD
algo¬
rithm is implemented and tested to incrementally extract the ontological concepts. It is shown that the
context-based hierarchical algorithm gives better results than a usual context definition and an existing
clustering method.
Chapter II
A Review
of Fuzzy Models for the Semantic Web
..............................................................................23
Hailong Wang, Northeastern University, China
Zongmin Ma, Northeastern University, China
Li Yan, Northeastern University, China
Jingwei Cheng, Northeastern University, China
Based on fuzzy set theoiy, this chapter reviews the existing proposals for extending the theoretical
counterpart of the Semantic Web languages, description logics (DLs), and the languages themselves.
The expressive power of the fuzzy DLs formalism and its syntax and semantic, knowledge base, the
decidability of the tableaux algorithm and its computational complexity as well as the fuzzy extension
to OWL are discussed.
Chapter
Ш
Improving Storage Concepts for Semantic Models and Ontologies
....................................................38
Edgar R. Weippl, Vienna University of Technology, Austria
Markus
D.
Klemen,
Vienna University of Technology, Austria
Stefan
Raffeiner,
Vienna University of Technology, Austria
This chapter presents an improved database schema to store ontologies. More specifically, it proposes
an intuitive and efficient way of storing arbitrary relationships, shows that their database schema is well
suited to store both RDF and Topic Maps, and explains why it is more efficient by comparing it to other
approaches.
Chapter IV
Ontologies and Intelligent Agents: A Powerful Bond
..........................................................................49
Kostas
Kolomvatsos, National and Kapodistrian University of Athens, Greece
Stathes Hadjiefthymiades, National and Kapodistrian University of Athens, Greece
This chapter provides an exhaustive description of fundamentals regarding the combination of the
Semantic Web and intelligent agent technologies. It is shown that agents build ontologies and agents
integrate ontologies in an automatic way.
Chapter V
Probabilistic Models for the Semantic Web: A Survey
........................................................................74
Livia Predoiu, University of Mannheim, Germany
Heiner Stuckenschmidt,
University of Mannheim, Germany
Focusing on probabilistic approaches for representing uncertain information on the Semantic Web, this
chapter surveys existing proposals for extending semantic web languages or formalisms underlying
Semantic Web languages in terms of their expressive power, reasoning capabilities as well as their suit¬
ability for supporting typical tasks associated with the Semantic Web.
Chapter VI
Automatic Semantic Annotation Using Machine Learning
...............................................................106
Jie Tang, Tsinghua University, Beijing, China
Duo Zhang, University of Illinois, Urbana-Champaign, USA
Limin Yao, Tsinghua University, Beijing, China
Ћ
Li, Tsinghua University, Beijing, China
This chapter studies the problems of semantic annotation and introduces the state-of-the-art methods for
dealing with the problems. It also gives a brief survey of the developed systems based on the methods.
Several real-world applications of semantic annotation are introduced as well.
Section
II
Chapter
VII
Paving the Way to an Effective and Efficient Retrieval of Data over
Semantic Overlay Networks
..............................................................................................................151
Federica Mandreoli,
University of
Modena
and
Reggio
Emilia, Italy
Riccardo Martoglia, University of
Modena
and
Reggio
Emilia, Italy
Wilma
Penzo,
University of Bologna, Italy
Simona Sassatelli,
University of
Modena
and
Reggio
Emilia, Italy
Giorgio
Villani,
University of
Modena
and
Reggio Emilia,
Italy
This chapter presents a semantic infrastructure for routing queries effectively in a network of SONs
(Semantic Overlay Networks). The chapter defines a fully distributed indexing mechanism which sum¬
marizes the semantics underlying whole subnetworks, in order to be able to locate the semantically best
directions to forward a query to. It is demonstrated through a rich set of experiments that the proposed
routing mechanism overtakes algorithms which are usually limited to the only knowledge of the peers
directly connected to the querying peer.
Chapter
VIII
SWARMS: A Platform for Domain Knowledge Management and Applications
..............................176
Jie Tang, Tsinghua University, Beijing, China
Bangyong Liang, NEC Labs, China
Juanzi Li, Tsinghua University, Beijing, China
This chapter describes the architecture and the main features of
S
WARMS, a platform for domain knowl¬
edge management. The platform aims at providing services for
(1)
efficiently storing and accessing the
ontological information;
(2)
visualizing the networking structure in the ontological data;
(3)
searching
and mining the semantic data.
Chapter IX
Modeling and Querying XML-Based P2P Information Systems:
A Semantics-Based Approach
............................................................................................................207
Alfredo Cuzzocrea,
University of Calabria, Italy
This chapter first focuses its attention on the definition and the formalization of the XML-based P2P
Information Systems class, also deriving interesting properties on such systems. Then the chapter presents
a knowledge-representation-and-management-based framework that can efficiently process knowledge
and support advanced
IR
techniques in XML-based P2P Information Systems.
Section
Ш
Chapter X
Applying Semantic Web to
Е
-Tourism..............................................................................................
243
Danica Damljanović,
University of Sheffield, UK
Vladan
Devedžić,
University of Belgrade, Serbia
This chapter presents Travel Guides
-
a prototype system for tourism management to illustrate how se¬
mantic web technologies combined with traditional
Е
-Tourism applications help integration of tourism
sources dispersed on the Web, and enable creating sophisticated user profiles.
Chapter XI
Semantic Web in Ubiquitous Mobile Communications
.....................................................................266
Anna V. Zhdanova, The Telecommunications Research Center Vienna, Austria
Ning
Li, University of Surrey, UK
Klaus Moessner, University of Surrey, UK
This chapter provides background information on the Semantic Web field, discusses other research fields
that bring semantics into play for reaching the ontology-enabled ubiquitous mobile communication vision,
and exemplifies the state of the art of ontology development and use in telecommunication projects.
Chapter
ΧΠ
Design Diagrams as Ontological Sources: Ontology Extraction and Utilization
for Software Asset Reuse
...................................................................................................................288
Kalapriya
Kannan,
IBM India Research Labs, India
Biplav Srivastava, IBM India Research Labs, India
This chapter discusses how semantic web technologies can help solution-building organizations achieve
software reuse by first learning ontologies from design diagrams of existing solutions and then using
them to create design diagrams for new solutions. The proposed technique, called OntExtract, extracts
domain ontology information (entities and their
relationship(s))
from class diagrams and further refines
the extracted information using diagrams that express dynamic interactions among entities such as
sequence diagram.
Compilation of References
..............................................................................................................316
About the Contributors
...................................................................................................................359
Index
................................................................................................................................................365
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| spelling | The Semantic Web for knowledge and data management technologies and practices Zongmin Ma, Huaiqing Wang [ed.] Hershey, PA Information Science Reference 2009 XVI, 367 S. Ill. 29 cm txt rdacontent n rdamedia nc rdacarrier Premier reference source "Premier reference source"--Cover. Includes bibliographical references (p. 316-358) and index -- "This book discusses the Semantic Web, as an extension of the current World Wide Web in which information is given well-defined, better enabling computers and people to work in cooperation"--Provided by publisher. "This book discusses the Semantic Web, as an extension of the current World Wide Web in which information is given well-defined, better enabling computers and people to work in cooperation"--Provided by publisher. Semantic Web Datenmanagement (DE-588)4213132-7 gnd rswk-swf Semantic Web (DE-588)4688372-1 gnd rswk-swf 1\p (DE-588)4143413-4 Aufsatzsammlung gnd-content Semantic Web (DE-588)4688372-1 s Datenmanagement (DE-588)4213132-7 s DE-604 Ma, Zongmin 1965- Sonstige (DE-588)131346326 oth Erscheint auch als Online-Ausgabe 1-605-66029-9 Erscheint auch als Online-Ausgabe 978-1-605-66029-5 Digitalisierung BSBMuenchen application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=017001159&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 |
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| title | The Semantic Web for knowledge and data management technologies and practices |
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| title_full | The Semantic Web for knowledge and data management technologies and practices Zongmin Ma, Huaiqing Wang [ed.] |
| title_fullStr | The Semantic Web for knowledge and data management technologies and practices Zongmin Ma, Huaiqing Wang [ed.] |
| title_full_unstemmed | The Semantic Web for knowledge and data management technologies and practices Zongmin Ma, Huaiqing Wang [ed.] |
| title_short | The Semantic Web for knowledge and data management |
| title_sort | the semantic web for knowledge and data management technologies and practices |
| title_sub | technologies and practices |
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