http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-2.xsd
Work on relationships takes place in many communities, including data modeling, knowledge representation, natural language processing, linguistics, and information retrieval. Unfortunately, continued disciplinary splintering and specialization keeps any one person from being familiar with the full expanse of that work. By including contributions from experts (Cruse; Fellbaum; Evens; Green; Guarino and Welty; Hetzler; Hovy; Jouis; Khoo and Myaeng; Khoo, Chan and Niu; McCray and Bodenreider; Pribbenow) in a variety of disciplines and backgrounds, this volume demonstrates both the parallels that inform work on relationships across a number of fields and the singular emphases that have yet to be fully embraced. The volume is organized into three parts: The first explores types of relationships; the second delves into the role of relationships in knowledge representation and reasoning; the third presents applications that make central use of relationships.
Introduction -- List of Contributors -- Part I: Types of Relationships. 1. Hyponymy and Its Varieties. 2. On the Semantics of Troponymy -- 3. Meronymic Relationships: From Classical Mereology to Complex Part-Whole Relations. 4. The Many Facets of the Cause-Effect Relation -- Part II: Relationships in Knowledge Representation and Reasoning. 5. Internally-Structured Conceptual Models in Cognitive Semantics.6. Comparing Sets of Semantic Relations in Ontologies. 7. Identity and Subsumption. 8. Logic of Relationships -- Part III: Applications of Relationships. 9. Thesaural Relations in Information Retrieval. 10. Identifying Semantic Relations in Text for Information Retrieval and Information Extraction. 11. A Conceptual Framework for the Biomedical Domain. 12. Visual Analysis and Exploration of Relationships -- Index.
edited by Rebecca Green, Carol A. Bean, Sung Hyon Myaeng.
Information storage and retrieval systems
Information science and knowledge management ; 3