Login
 
Hauptdaten
Autor: Heiner Stuckenschmidt, Frank van Harmelen
Titel: Information Sharing on the Semantic Web
Verlag: Springer-Verlag
ISBN/ISSN: 9783540269076
Auflage: 1
Preis : CHF 147.80
Erscheinungsdatum:
Inhalt
Kategorie: Informatik, EDV Buch
Sprache: English
Technische Daten
Seiten: 276
Kopierschutz: DRM
Geräte: PC/MAC/eReader/Tablet
Formate: PDF
Inhaltsangabe

Details recent research in areas such as ontology design for information integration, metadata generation and management, and representation and management of distributed ontologies.

Provides decision support on the use of novel technologies, information about potential problems, and guidelines for the successful application of existing technologies.



 

Heiner Stuckenschmidt holds a post-doc position in the Knowledge Representation and Reasoning Group at the Vrije Universiteit Amsterdam where he received his PhD for work on Ontology-Based Information Sharing on the Semantic Web. His works include Semantic Web related topics such as ontology languages, knowledge-based meta data management and robust and scalable terminological reasoning. Before moving to Amsterdam, he was employed as a researcher and lecturer at the University of Bremen. His research activities in Bremen included the application of ontologies for information sharing in web based information systems with a special focus on semantics-preserving information integration and spatially related information.

He is organizer of a series of workshops on ontologies at international conferences (IJCAI'01, ECAI'02, IJCAI'03) and member of program committees of several semantic web related conferences (SWWS'01, ISWC'02, WWW'03) and has held / will hold tutorial on the topic of the proposed book at different conferences (K-CAP 2001, IJCAI'03, ISWC'03). He is editor of a book on the application of ontologies in the cadastral domain and has published more than 40 paper in international journals, conferences and workshops.

 

Frank van Harmelen is professor in Knowledge Representation and Reasoning at the Department of Artificial Intelligence of the Vrije Universiteit Amsterdam. He was awarded a PhD from the Department of AI in Edinburgh for his research on meta-level reasoning, after having studied Mathematics and Computer Science in Amsterdam. He is author of a book on meta-level inference, editor of a book on knowledge-based systems, editor of a book on Knowledge Management on the Semantic Web, and is currently preparing a text-book on Semantic Web languages. He has published over 100 papers, many of them in leading journals and conferences. He has made key contributions to the CommonKADS project by providing a formal basis for the conceptual models. More recently, he has been co-projectmanager of the On-To-Knowledge project, and was one of the designers of OIL, which (in its form DAML +OIL) is currently the basis for a W3C standardized Web ontology language.

He is a member of the joint EU/US committee on agent markup languages (who designed DAML+OIL), and is an active member of the W3C working group on Web Ontology languages, responsible for the OWL Web Ontology Language. He was the 2002 Program Chair of the European Conference on Artificial Intelligence, and will be the General Chair of the 2004 International Semantic Web Conference.

Inhaltsverzeichnis
Preface6
About the book6
The success of the information society6
The remaining problems7
Intended readership9
Organization of the Book9
Acknowledgements11
Contents13
Part I Information sharing and ontologies18
1 Semantic integration19
1.1 Syntactic standards20
1.1.1 HTML: visualizing information20
1.1.2 XML: exchanging information21
1.1.3 RDF: a data model for meta-information22
1.1.4 The roles of XML and RDF24
1.2 The Problem of Heterogeneity26
1.2.1 Structural Conflicts26
1.2.2 Semantic Conflicts28
1.3 Handling information semantics30
1.3.1 Semantics from structure31
1.3.2 Semantics from text32
1.3.3 The need for explicit semantics33
1.4 Representing and comparing semantics35
1.4.1 Names and labels36
1.4.2 Term networks36
1.4.3 Concept lattices37
1.4.4 Features and constraints38
1.5 Conclusion39
Further Reading39
2 Ontology-based information sharing40
2.1 Ontologies40
2.1.1 Shared vocabularies and conceptualizations41
2.1.2 Speci.cation of context knowledge42
2.1.3 Beneficial applications44
2.2 Ontologies in information integration46
2.2.1 Content explication46
2.2.2 Additional roles of ontologies49
2.3 A framework for information sharing51
2.4 A translation approach to ontology alignment53
2.4.1 The translation process54
2.4.2 Required infrastructure55
2.5 Conclusions57
3 Ontology languages for the Semantic Web60
3.1 An abstract view60
3.2 Two Semantic Web ontology languages62
3.2.1 RDF Schema64
3.2.2 OWL Lite65
3.2.3 OWL DL67
3.2.4 OWL Full68
3.2.5 Computational Complexity69
3.2.6 Simple relations between ontologies69
3.3 Other Web-based ontology languages73
3.3.1 Languages for expressing ontology mappings75
3.4 Conclusions76
Part II Creating ontologies and metadata77
4 Ontology creation78
4.1 Ontological engineering79
4.2 Building an ontology infrastructure for Information sharing81
4.3 Applying the approach83
4.3.1 The task to be solved84
4.3.2 The Information Sources85
4.3.3 Sources of knowledge86
4.4 An example walkthrough89
4.5 Conclusions95
5 Metadata generation97
5.1 The role of metadata98
5.1.1 Use of metadata99
5.1.2 Problems with metadata management100
5.2 The WebMaster approach102
5.2.1 BUISY: A Web based environmental information system102
5.2.2 The WebMaster Workbench103
5.2.3 Applying WebMaster to the BUISY system105
5.3 Learning classification rules109
5.3.1 Inductive logic programming110
5.3.2 Applying inductive logic programming112
5.3.3 Learning experiments114
5.3.4 Extracted classi.cation rules118
5.4 Ontology deployment122
5.4.1 Generating ontology-based metadata123
5.4.2 Using ontology-based metadata124
5.5 Conclusions126
Part III Retrieval, integration and querying128
6 Retrieval and Integration129
6.1 Semantic integration130
6.1.1 Ontology heterogeneity130
6.1.2 Multiple systems and translatability132
6.1.3 Approximate re-classification133
6.2 Concept-based filtering135
6.2.1 The idea of query-rewriting136
6.2.2 Boolean concept expressions137
6.2.3 Query re-writing139
6.3 Processing complex queries141
6.3.1 Queries as concepts142
6.3.2 Query relaxation144
6.4 Examples from a case study147
6.4.1 Concept approximations147
6.4.2 Query relaxation148
6.5 Conclusions150
7 Sharing statistical information152
7.1 The nature of statistical information153
7.1.1 Statistical metadata154
7.1.2 A basic ontology of statistics155
7.2 Modelling Statistics159
7.2.1 Statistics as views159
7.2.2 Connection with the domain160
7.3 Translation to Semantic Web languages164
7.3.1 Ontologies164
7.3.2 Description of information168
7.4 Retrieving statistical information171
7.5 Conclusions173
8 Spatially-related information175
8.1 Spatial representation and reasoning176
8.1.1 Levels of spatial abstraction176
8.1.2 Reasoning about spatial relations177
8.2 Ontologies and spatial relevance178
8.2.1 Defining Spatial Relevance179
8.2.2 Combined spatial and terminological matching180
8.2.3 Limitations182