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: Gödert, Winfried, Hubrich, Jessica, Nagelschmidt, Matthias
Format: eBook Book
Language:English
Published: Germany De Gruyter 2014
De Gruyter Saur
Walter de Gruyter GmbH
Edition:1
Subjects:
COM030000 COMPUTERS / System Administration / Storage & Retrieval
COMPUTERS
COMPUTERS / Computer Science
COMPUTERS / Management Information Systems
Data processing Computer science
General References
Indexierung
Indexing
Information organization
Information retrieval
Informationswissenschaft
Knowledge representation (Information theory)
LANGUAGE ARTS & DISCIPLINES / Library & Information Science / General
Semantic Web
Semantische Technologien
Software Engineering
Subject access
Wissensmanagement
Wissensrepräsentation
World Wide Web
World Wide Web > Subject access
Wissensmanagement
Informationswissenschaft
indexing
Semantische Technologien
semantic web
Wissensrepräsentation
information retrieval
Indexierung
ISBN:9783110329704, 3110329700, 3110304775, 9783110304770, 9783110395976, 3110395975
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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.
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.
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.
Author Hubrich, Jessica
Gödert, Winfried
Nagelschmidt, Matthias
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Keywords Wissensmanagement
Informationswissenschaft
indexing
Semantische Technologien
semantic web
Wissensrepräsentation
information retrieval
Indexierung
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Notes Includes bibliographical references (p. [279]-288) and index
OCLC 890071030
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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 COM030000 COMPUTERS / System Administration / Storage & Retrieval
COMPUTERS
COMPUTERS / Computer Science
COMPUTERS / Management Information Systems
Data processing Computer science
General References
Indexierung
Indexing
Information organization
Information retrieval
Informationswissenschaft
Knowledge representation (Information theory)
LANGUAGE ARTS & DISCIPLINES / Library & Information Science / General
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
Systematic Glossary
Part D Appendices --
Index
Table of Contents
7. Formalization in Indexing Languages
3. Semantic Technologies for Knowledge Representation
Part A Propaedeutics – Organizing, Representing, and Exploring Knowledge --
11. Remaining Research Questions
Preface
Part B Status quo – Handling Heterogeneity in Indexing and Retrieval --
9. Inferences in Retrieval Processes
10. Semantic Interoperability and Inferences
Abbreviations
1. Introduction: Envisioning Semantic Information Spaces
2. Indexing and Knowledge Organization
5. Approaches to Handle Heterogeneity
8. Typification of Semantic Relations
-
/
4. Information Retrieval and Knowledge Exploration
List of figures
References
Part C Vision – Ontology-based Indexing and Retrieval --
Frontmatter --
List of tables
6. Problems with Establishing Semantic Interoperability
Title Semantic Knowledge Representation for Information Retrieval
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