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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Bibliographic Details
Main Authors: Gödert, Winfried (Author)
Group Author: Hubrich, Jessica; Nagelschmidt, Matthias
Published: Walter de Gruyter GmbH,
Publisher Address: Berlin ; Boston :
Publication Dates: [2014]
Literature type: Book
Language: English
Subjects:
Summary: 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.
Carrier Form: xiv, 294 pages : illustrations ; 24 cm
Bibliography: Includes bibliographical references (pages 279-288) and index.
ISBN: 9783110304770
3110304775
Index Number: ZA4240
CLC: TP393.4-1
Call Number: TP393.4-1/G581
Contents: Introduction: envisioning semantic information spaces -- Indexing and knowledge organization -- Semantic technologies for knowledge representation -- Information retrieval and knowledge exploration -- Approaches to handle heterogeneity -- Problems with establishing semantic interoperability -- Formalization in indexing languages -- Typification of semantic relations -- Inferences in retrieval processes -- Semantic interoperability and inferences -- Remaining research questions.