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|a Weller, Katrin.
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|a Knowledge representation in the social semantic Web /
|c Katrin Weller.
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|a New York :
|b De Gruyter Saur,
|c ©2010.
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|a 1 online resource (vii, 426 pages)
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|a Knowledge & information,
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|a Introduction -- State of Research -- Objectives and Main Research Questions of this Book -- Outline of this Book -- Acknowledgements -- Formal Remarks -- References -- Chapter 1 Knowledge Representation and Indexing: Background and Future -- 1.1 Knowledge Representation -- 1.1.1 Metadata, Indexing and Retrieval -- 1.1.2 Classical Knowledge Organization Systems -- 1.1.3 Knowledge Organization Systems in Practice -- 1.2 The Semantic Web -- 1.2.1 The Vision of a Semantic Web -- 1.2.2 Indexing the Semantic Web: Ontologies -- 1.3 The Social Web -- 1.3.1 Web 2.0 and the Role of the User -- 1.3.2 Indexing the Social Web: Folksonomies -- 1.3.3 Collaboration vs. Collection -- 1.4 The Social Semantic Web -- 1.4.1 A Networked World: Web 2.0, Semantic Web & e- Science -- 1.4.2 Approaches for Mashing-Up the Social and Semantic Web -- 1.4.3 Knowledge Representation in the Social Semantic Web -- Conclusion -- References -- Chapter 2 Ontologies: Semantics for the Web -- 2.1 Ontologies: Definition and Background -- 2.1.1 From Philosophy to Computer Science -- 2.1.2 Ontology Definitions -- 2.2 Structure and Elements of Ontologies -- 2.2.1 Basic Elements of Ontologies -- 2.2.2 Concepts and Instances -- 2.2.3 Relations and Properties -- 2.2.4 Selected Types of Specified Semantic Relations -- 2.2.5 Attributes of Semantic Relations -- 2.2.6 Formal and Informal Semantics -- 2.3 Ontologies as Knowledge Organization Systems -- 2.3.1 Selected Popular and Important Ontologies -- 2.3.2 From Vocabulary to Ontology: Towards and Analytical Description of Knowledge Organization Systems -- 2.3.3 Requirements for Ontologies in the Social Semantic Web -- Conclusion -- References -- Chapter 3 Ontology Engineering in the Era of the Social Semantic Web -- 3.1 Ontology Engineering -- 3.1.1 Methodologies, Dimensions and Principles of Ontology Engineering -- 3.1.2 Tools for Ontology Engineering -- 3.1.3 Recent Trends and Open Challenges in Ontology Engineering -- 3.2 Community-based Ontology Engineering -- 3.2.1 Basic Principles of Community-based Ontology Engineering -- 3.2.2 New Approaches and New Tools for Community-based Ontology Engineering -- 3.3 Semantic Upgrades & Tag Gardening -- 3.3.1 From Tagging to Ontologies -- 3.3.2 Collaborative, Personal and Cross-Platform Tag Gardening -- 3.3.3 Ontology Gardening: Engineering Based on Semantic Enrichment -- 3.3.4 Additional Knowledge Resources for Ontology Gardening -- 3.4 Co-Existence of Knowledge Organization Systems -- 3.4.1 Multiple Knowledge Representations on the Social Semantic Web -- 3.4.2 KOSO: A Meta-KOS for Knowledge Organization Systems -- 3.4.3 Mapping the Social Semantic Web -- Conclusion -- References -- Conclusion & Outlook -- Lessons Learned & Contribution of this Book -- Ongoing Challenges -- Future Perspectives & Related Topics -- Conclusion -- References -- Index -- Index of Names -- Subject Index.
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|a The main purpose of this book is to sum up the vital and highly topical research issue of knowledge representation on the Web and to discuss novel solutions by combining benefits of folksonomies and Web 2.0 approaches with ontologies and semantic technologies. This book contains an overview of knowledge representation approaches in past, present and future, introduction to ontologies, Web indexing and in first case the novel approaches of developing ontologies. This title combines aspects of knowledge representation for both the Semantic Web (ontologies) and the Web 2.0 (folksonomies). Currently there is no monographic book which provides a combined overview over these topics. focus on the topic of using knowledge representation methods for document indexing purposes. For this purpose, considerations from classical librarian interests in knowledge representation (thesauri, classification schemes etc.) are included, which are not part of most other books which have a stronger background in computer science.
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