Overview

Work on relationships takes place in many communities, including data modelling, 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 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; and the third presents applications that make central use of relationships.

Full Product Details

Author:   R. Green ,  C.A. Bean ,  Sung Hyon Myaeng
Publisher:   Springer-Verlag New York Inc.
Imprint:   Springer-Verlag New York Inc.
Edition:   2002 ed.
Volume:   3
Dimensions:   Width: 15.50cm , Height: 1.60cm , Length: 23.50cm
Weight:   0.573kg
ISBN:  

9781402005688

ISBN 10:   1402005687
Pages:   225
Publication Date:   31 July 2002
Audience:   College/higher education ,  Professional and scholarly ,  Postgraduate, Research & Scholarly ,  Professional & Vocational
Format:   Hardback
Publisher's Status:   Active
Availability:   Awaiting stock  
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Table of Contents

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.- 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.- 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.

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