Gödert / Hubrich / Nagelschmidt Semantic Knowledge Representation for Information Retrieval

1. Auflage 2014
ISBN: 978-3-11-039597-6
Verlag: De Gruyter
Format: EPUB
Kopierschutz: 6 - ePub Watermark

E-Book, Englisch, 308 Seiten

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.

Zielgruppe

Lecturer in Information Science, knowledge engineers, information

Autoren/Hrsg.

Gödert, Winfried

Hubrich, Jessica

Nagelschmidt, Matthias

Fachgebiete

• Mathematik | Informatik EDV | Informatik Daten / Datenbanken Information Retrieval
• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz Wissensbasierte Systeme, Expertensysteme
• Mathematik | Informatik EDV | Informatik Computerkommunikation & -vernetzung Social Media, Semantic Web, Web 2.0

Über Autor(innen)

Winfried Gödert, Fachhochschule Köln; Matthias Nagelschmidt; Jessica Hubrich, Deutsche Nationalbibliothek.