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Abstract

This text introduces the standardized knowledge representation languages for modeling ontologies operating at the core of the semantic web. It covers RDF schema, Web Ontology Language (OWL), rules, query languages, the OWL 2 revision, and the forthcoming Rule Interchange Format (RIF). A 2010 CHOICE Outstanding Academic Title ! The nine chapters of the book guide the reader through the major foundational languages for the semantic Web and highlight the formal semantics. ! the book has very interesting supporting material and exercises, is oriented to W3C standards, and provides the necessary foundations for the semantic Web. It will be easy to follow by the computer scientist who already has a basic background on semantic Web issues; it will also be helpful for both self-study and teaching purposes. I recommend this book primarily as a complementary textbook for a graduate or undergraduate course in a computer science or a Web science academic program. --Computing Reviews, February 2010 This book is unique in several respects. It contains an in-depth treatment of all the major foundational languages for the Semantic Web and provides a full treatment of the underlying formal semantics, which is central to the Semantic Web effort. It is also the very first textbook that addresses the forthcoming W3C recommended standards OWL 2 and RIF. Furthermore, the covered topics and underlying concepts are easily accessible for the reader due to a clear separation of syntax and semantics ! I am confident this book will be well received and play an important role in training a larger number of students who will seek to become proficient in this growing discipline.

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Content

Inhalt: Boolean retrieval - The term vocabulary & postings lists - Dictionaries and tolerant retrieval - Index construction - Index compression - Scoring, term weighting & the vector space model - Computing scores in a complete search system - Evaluation in information retrieval - Relevance feedback & query expansion - XML retrieval - Probabilistic information retrieval - Language models for information retrieval - Text classification & Naive Bayes - Vector space classification - Support vector machines & machine learning on documents - Flat clustering - Hierarchical clustering - Matrix decompositions & latent semantic indexing - Web search basics - Web crawling and indexes - Link analysis Vgl. die digitale Fassung unter: http://nlp.stanford.edu/IR-book/pdf/irbookprint.pdf.

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Classification

ST 351 Informatik / Monographien / Einzelne Anwendungen der Datenverarbeitung / Textverarbeitung, Desktop Publishing / Einzelne Programme (A-Z)
ST 351 G47 Informatik / Monographien / Einzelne Anwendungen der Datenverarbeitung / Textverarbeitung, Desktop Publishing / Einzelne Programme (A-Z) / SGML

RVK

ST 351 Informatik / Monographien / Einzelne Anwendungen der Datenverarbeitung / Textverarbeitung, Desktop Publishing / Einzelne Programme (A-Z)
ST 351 G47 Informatik / Monographien / Einzelne Anwendungen der Datenverarbeitung / Textverarbeitung, Desktop Publishing / Einzelne Programme (A-Z) / SGML

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Abstract

Mosaic for Windows is an informative book on how to use the most popular Internet navigation tool ever developed. By focussing on the PC Windows version of Mosaic (NCSA, AIR Mosaic, and Spyglass), including Web browsers like NetScape, WinWeb and WebSurfer, this book will provide an easy-to-follow guide to using a PC and Mosaic to browse, collect, and discover information and resources across the entire electronic world.

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