Semantic Knowledge Representation for Information Retrieval
This book covers the basics of semantic web technologies and indexing languages, and describes their contribution to improve methods of formal knowledge representation and reasoning. The methodologies included combine the specifics of indexing languages, Web representation languages and intersystem...
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| Main Authors | , , |
|---|---|
| Format | eBook Book |
| Language | English |
| Published |
Germany
De Gruyter
2014
De Gruyter Saur Walter de Gruyter GmbH |
| Edition | 1 |
| Subjects | |
| Online Access | Get full text |
| ISBN | 9783110329704 3110329700 3110304775 9783110304770 9783110395976 3110395975 |
| DOI | 10.1515/9783110329704 |
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| Abstract | This book covers the basics of semantic web technologies and indexing languages, and describes their contribution to improve methods of formal knowledge representation and reasoning. The methodologies included combine the specifics of indexing languages, Web representation languages and intersystem relations, and explain their contribution to search functionalities in information retrieval scenarios. An example oriented discussion, considering aspects of conceptual and semantic interoperability in processes of subject querying and knowledge exploration is provided. The book is relevant to information scientists, knowledge workers and indexers. It provides a suitable combination of theoretical foundations and practical applications. |
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| AbstractList | This book covers the basics of semantic web technologies and indexing languages, and describes their contribution to improve methods of formal knowledge representation and reasoning. The methodologies included combine the specifics of indexing languages, Web representation languages and intersystem relations, and explain their contribution to search functionalities in information retrieval scenarios. An example oriented discussion, considering aspects of conceptual and semantic interoperability in processes of subject querying and knowledge exploration is provided. The book is relevant to information scientists, knowledge workers and indexers. It provides a suitable combination of theoretical foundations and practical applications. This book covers the basics of semantic web technologies and indexing languages, and describes their contribution to improve languages as a tool for subject queries and knowledge exploration. The book is relevant to information scientists, knowledge workers and indexers. It provides a suitable combination of theoretical foundations and practical applications. |
| Author | Hubrich, Jessica Gödert, Winfried Nagelschmidt, Matthias |
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| Copyright | 2014 |
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| Editor | Hubrich, Jessica Nagelschmidt, Matthias |
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| Keywords | indexing semantic web information retrieval |
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| Notes | Includes bibliographical references (p. [279]-288) and index |
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| Snippet | This book covers the basics of semantic web technologies and indexing languages, and describes their contribution to improve methods of formal knowledge... This book covers the basics of semantic web technologies and indexing languages, and describes their contribution to improve languages as a tool for subject... |
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| SubjectTerms | COMPUTERS COMPUTERS / Computer Science Data processing Computer science General References Indexierung Indexing Information organization Information retrieval Informationswissenschaft Knowledge representation (Information theory) Semantic Web Semantische Technologien Software Engineering Subject access Wissensmanagement Wissensrepräsentation World Wide Web World Wide Web -- Subject access |
| TableOfContents | Title Page
Preface
Table of Contents
1. Introduction: Envisioning Semantic Information Spaces
2. Indexing and Knowledge Organization
3. Semantic Technologies for Knowledge Representation
4. Information Retrieval and Knowledge Exploration
5. Approaches to Handle Heterogeneity
6. Problems with Establishing Semantic Interoperability
7. Formalization in Indexing Languages
8. Typification of Semantic Relations
9. Inferences in Retrieval Processes
10. Semantic Interoperability and Inferences
11. Remaining Research Questions
Appendix: Systematic Glossary
Abbreviations
List of Figures
List of Tables
References
Index 6.2.1 Intersystem Relations Compared to Intrasystem Relations -- 6.2.2 Interoperability and Search Tactics -- 6.2.3 Specified Intersystem Relationships -- 6.2.4 Conceptual Interoperability between Indexing Results -- 6.2.5 Directedness of Intersystem Relationships -- Part C Vision - Ontology-based Indexing and Retrieval -- 7 Formalization in Indexing Languages -- 7.1 Introduction and Objectives -- 7.2 Common Characteristics and Differences between Indexing Languages and Formal Knowledge Representation -- 7.3 Prerequisites for an Ontology-based Indexing -- 7.3.1 Semantic Relations and Inferred Document Sets -- 7.3.2 Facets and Inferences -- 8 Typification of Semantic Relations -- 8.1 Inventories of Typed relations -- 8.2 Typed Relations and their Benefit for Indexing and Retrieval -- 8.3 Examples of the Benefit of Typed Relations for the Retrieval Process -- 8.3.1 Example 1: Aspect-oriented Specification of the Generic Hierarchy Relation -- 8.3.2 Example 2: Typed Relations of a Topic Map built from the ASIST Thesaurus -- 8.3.3 Example 3: Degrees of Determinacy -- 9 Inferences in Retrieval Processes -- 9.1 Inferences of Level 1 -- 9.1.1 Hierarchical Relationships -- 9.1.2 Associative Relationships -- 9.1.3 Typification of the Synonymy/Equivalence Relationship -- 9.2 Inferences of Level 2 and of Higher Levels, Transitivity -- 9.2.1 Hierarchical Relationships -- 9.2.2 Unspecific Associative Relationships -- 9.2.3 Typification of Associative Relationships -- 9.3 Inferences by Combining Different Types of Relationships -- 9.3.1 Synonymy Relation with Hierarchical Relationships -- 9.3.2 Chronological Relation with Hierarchical Relationships -- 9.3.3 Transitions from Associative Relationships to a Hierarchical Structure -- 9.3.4 Transitions from a Hierarchical Structure to Associative Relationships Intro -- Preface -- 1 Introduction: Envisioning Semantic Information Spaces -- Part A Propaedeutics - Organizing, Representing, and Exploring Knowledge -- 2 Indexing and Knowledge Organization -- 2.1 Knowledge Organization Systems as Indexing Languages -- 2.1.1 Building Elements: Entities and Terms -- 2.1.2 Structural Elements: Intrasystem Relations -- 2.1.3 Result Elements: Indexates -- 2.2 Standards and Frameworks -- 2.2.1 ISO 25964: Thesauri and Interoperability with other Vocabularies -- 2.2.2 Functional Requirements for Subject Authority Data (FRSAD) -- 3 Semantic Technologies for Knowledge Representation -- 3.1 Web-based Representation Languages -- 3.1.1 XML -- 3.1.2 RDF/RDFS -- 3.1.3 OWL -- 3.2 Application-based Representation Languages -- 3.2.1 XTM -- 3.2.2 SKOS -- 4 Information Retrieval and Knowledge Exploration -- 4.1 Information Retrieval Essentials -- 4.1.1 Exact Match Paradigm -- 4.1.2 Partial Match Paradigm -- 4.2 Measuring Effectiveness in Information Retrieval -- 4.3 From Retrieving to Exploring -- 4.3.1 String-based Retrieval Processes -- 4.3.2 Conceptual Retrieval Process -- 4.3.3 Conceptual Exploration Processes -- 4.3.4 Topical Exploration Processes -- 4.4 From Homogeneous to Heterogeneous Information Spaces -- Part B Status quo - Handling Heterogeneity in Indexing and Retrieval -- 5 Approaches to Handle Heterogeneity -- 5.1 Citation Pearl Growing -- 5.2 Modeling Multilingual Indexing Languages -- 5.3 Establishing Semantic Interoperability between Indexing Languages -- 5.3.1 Structural Models -- 5.3.2 Mapping Levels -- 5.3.3 Vocabulary Linking Projects -- 6 Problems with Establishing Semantic Interoperability -- 6.1 Conceptual Interoperability between Entities of Indexing Languages -- 6.1.1 Focused and Comprehensive Mapping -- 6.1.2 Conceptual Identity and Semantic Congruence -- 6.2 Equivalent Intersystem Relationships 9.3.5 Transitivity for Combinations of Typed Associative Relationships -- 10 Semantic Interoperability and Inferences -- 10.1 Conditions for Entity-based Interoperability -- 10.2 Models of Semantic Interoperability -- 10.2.1 Ontological Spine and Satellite Ontologies -- 10.2.2 Degrees of Determinacy and Interoperability -- 10.2.3 Entity-based Interoperability and Facets -- 10.3 Perspective: Ontology-based Indexing and Retrieval -- 11 Remaining Research Questions -- 11.1 Questions of Modeling -- 11.2 Questions of Procedure -- 11.3 Questions of Technology and Implementation -- Part D Appendices -- Systematic Glossary -- Abbreviations -- List of figures -- List of tables -- References -- Index References -- 6. Problems with Establishing Semantic Interoperability -- Abbreviations -- 5. Approaches to Handle Heterogeneity -- 3. Semantic Technologies for Knowledge Representation -- Preface -- 2. Indexing and Knowledge Organization -- 11. Remaining Research Questions -- Part D Appendices -- 4. Information Retrieval and Knowledge Exploration -- Index 10. Semantic Interoperability and Inferences -- List of figures -- 1. Introduction: Envisioning Semantic Information Spaces -- Table of Contents -- 9. Inferences in Retrieval Processes -- 7. Formalization in Indexing Languages -- Part A Propaedeutics – Organizing, Representing, and Exploring Knowledge -- Part C Vision – Ontology-based Indexing and Retrieval -- Frontmatter -- Systematic Glossary -- List of tables -- Part B Status quo – Handling Heterogeneity in Indexing and Retrieval -- 8. Typification of Semantic Relations -- |
| Title | Semantic Knowledge Representation for Information Retrieval |
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