Semantic Knowledge Representation for Information Retrieval

1 - Preface [Seite 5]
2 - 1 Introduction: Envisioning Semantic Information Spaces [Seite 15]
3 - Part A Propaedeutics - Organizing, Representing, and Exploring Knowledge [Seite 27]
3.1 - 2 Indexing and Knowledge Organization [Seite 29]
3.1.1 - 2.1 Knowledge Organization Systems as Indexing Languages [Seite 29]
3.1.1.1 - 2.1.1 Building Elements: Entities and Terms [Seite 30]
3.1.1.2 - 2.1.2 Structural Elements: Intrasystem Relations [Seite 35]
3.1.1.3 - 2.1.3 Result Elements: Indexates [Seite 41]
3.1.2 - 2.2 Standards and Frameworks [Seite 44]
3.1.2.1 - 2.2.1 ISO 25964: Thesauri and Interoperability with other Vocabularies [Seite 44]
3.1.2.2 - 2.2.2 Functional Requirements for Subject Authority Data (FRSAD) [Seite 45]
3.2 - 3 Semantic Technologies for Knowledge Representation [Seite 47]
3.2.1 - 3.1 Web-based Representation Languages [Seite 47]
3.2.1.1 - 3.1.1 XML [Seite 48]
3.2.1.2 - 3.1.2 RDF/RDFS [Seite 51]
3.2.1.3 - 3.1.3 OWL [Seite 56]
3.2.2 - 3.2 Application-based Representation Languages [Seite 63]
3.2.2.1 - 3.2.1 XTM [Seite 64]
3.2.2.2 - 3.2.2 SKOS [Seite 71]
3.3 - 4 Information Retrieval and Knowledge Exploration [Seite 75]
3.3.1 - 4.1 Information Retrieval Essentials [Seite 75]
3.3.1.1 - 4.1.1 Exact Match Paradigm [Seite 76]
3.3.1.2 - 4.1.2 Partial Match Paradigm [Seite 78]
3.3.2 - 4.2 Measuring Effectiveness in Information Retrieval [Seite 79]
3.3.3 - 4.3 From Retrieving to Exploring [Seite 82]
3.3.3.1 - 4.3.1 String-based Retrieval Processes [Seite 85]
3.3.3.2 - 4.3.2 Conceptual Retrieval Process [Seite 87]
3.3.3.3 - 4.3.3 Conceptual Exploration Processes [Seite 88]
3.3.3.4 - 4.3.4 Topical Exploration Processes [Seite 92]
3.3.4 - 4.4 From Homogeneous to Heterogeneous Information Spaces [Seite 94]
4 - Part B Status quo - Handling Heterogeneity in Indexing and Retrieval [Seite 99]
4.1 - 5 Approaches to Handle Heterogeneity [Seite 101]
4.1.1 - 5.1 Citation Pearl Growing [Seite 101]
4.1.2 - 5.2 Modeling Multilingual Indexing Languages [Seite 103]
4.1.3 - 5.3 Establishing Semantic Interoperability between Indexing Languages [Seite 104]
4.1.3.1 - 5.3.1 Structural Models [Seite 105]
4.1.3.2 - 5.3.2 Mapping Levels [Seite 107]
4.1.3.3 - 5.3.3 Vocabulary Linking Projects [Seite 110]
4.2 - 6 Problems with Establishing Semantic Interoperability [Seite 119]
4.2.1 - 6.1 Conceptual Interoperability between Entities of Indexing Languages [Seite 121]
4.2.1.1 - 6.1.1 Focused and Comprehensive Mapping [Seite 122]
4.2.1.2 - 6.1.2 Conceptual Identity and Semantic Congruence [Seite 126]
4.2.2 - 6.2 Equivalent Intersystem Relationships [Seite 132]
4.2.2.1 - 6.2.1 Intersystem Relations Compared to Intrasystem Relations [Seite 133]
4.2.2.2 - 6.2.2 Interoperability and Search Tactics [Seite 135]
4.2.2.3 - 6.2.3 Specified Intersystem Relationships [Seite 146]
4.2.2.4 - 6.2.4 Conceptual Interoperability between Indexing Results [Seite 148]
4.2.2.5 - 6.2.5 Directedness of Intersystem Relationships [Seite 151]
5 - Part C Vision - Ontology-based Indexing and Retrieval [Seite 159]
5.1 - 7 Formalization in Indexing Languages [Seite 161]
5.1.1 - 7.1 Introduction and Objectives [Seite 161]
5.1.2 - 7.2 Common Characteristics and Differences between Indexing Languages and Formal Knowledge Representation [Seite 165]
5.1.3 - 7.3 Prerequisites for an Ontology-based Indexing [Seite 170]
5.1.3.1 - 7.3.1 Semantic Relations and Inferred Document Sets [Seite 172]
5.1.3.2 - 7.3.2 Facets and Inferences [Seite 181]
5.2 - 8 Typification of Semantic Relations [Seite 195]
5.2.1 - 8.1 Inventories of Typed relations [Seite 196]
5.2.2 - 8.2 Typed Relations and their Benefit for Indexing and Retrieval [Seite 202]
5.2.3 - 8.3 Examples of the Benefit of Typed Relations for the Retrieval Process [Seite 208]
5.2.3.1 - 8.3.1 Example 1: Aspect-oriented Specification of the Generic Hierarchy Relation [Seite 208]
5.2.3.2 - 8.3.2 Example 2: Typed Relations of a Topic Map built from the ASIST Thesaurus [Seite 211]
5.2.3.3 - 8.3.3 Example 3: Degrees of Determinacy [Seite 227]
5.3 - 9 Inferences in Retrieval Processes [Seite 229]
5.3.1 - 9.1 Inferences of Level 1 [Seite 230]
5.3.1.1 - 9.1.1 Hierarchical Relationships [Seite 230]
5.3.1.2 - 9.1.2 Associative Relationships [Seite 231]
5.3.1.3 - 9.1.3 Typification of the Synonymy/Equivalence Relationship [Seite 232]
5.4 - 9.2 Inferences of Level 2 and of Higher Levels, Transitivity [Seite 236]
5.4.1 - 9.2.1 Hierarchical Relationships [Seite 237]
5.4.2 - 9.2.2 Unspecific Associative Relationships [Seite 240]
5.4.3 - 9.2.3 Typification of Associative Relationships [Seite 243]
5.4.4 - 9.3 Inferences by Combining Different Types of Relationships [Seite 245]
5.4.4.1 - 9.3.1 Synonymy Relation with Hierarchical Relationships [Seite 245]
5.4.4.2 - 9.3.2 Chronological Relation with Hierarchical Relationships [Seite 246]
5.4.4.3 - 9.3.3 Transitions from Associative Relationships to a Hierarchical Structure [Seite 246]
5.4.4.4 - 9.3.4 Transitions from a Hierarchical Structure to Associative Relationships [Seite 247]
5.4.4.5 - 9.3.5 Transitivity for Combinations of Typed Associative Relationships [Seite 249]
5.5 - 10 Semantic Interoperability and Inferences [Seite 251]
5.5.1 - 10.1 Conditions for Entity-based Interoperability [Seite 251]
5.5.2 - 10.2 Models of Semantic Interoperability [Seite 258]
5.5.2.1 - 10.2.1 Ontological Spine and Satellite Ontologies [Seite 258]
5.5.2.2 - 10.2.2 Degrees of Determinacy and Interoperability [Seite 264]
5.5.2.3 - 10.2.3 Entity-based Interoperability and Facets [Seite 266]
5.5.3 - 10.3 Perspective: Ontology-based Indexing and Retrieval [Seite 268]
5.6 - 11 Remaining Research Questions [Seite 273]
5.6.1 - 11.1 Questions of Modeling [Seite 273]
5.6.2 - 11.2 Questions of Procedure [Seite 274]
5.6.3 - 11.3 Questions of Technology and Implementation [Seite 276]
6 - Part D Appendices [Seite 277]
6.1 - Systematic Glossary [Seite 279]
6.2 - Abbreviations [Seite 285]
6.3 - List of figures [Seite 287]
6.4 - List of tables [Seite 291]
6.5 - References [Seite 293]
6.6 - Index [Seite 303]