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Annotation for the Semantic Web : Frontiers in Artificial Intelligence and Applications - S. Handschuh

Annotation for the Semantic Web

Frontiers in Artificial Intelligence and Applications

By: S. Handschuh (Editor), S. Staab (Editor)

Hardcover

Published: 1st January 2003
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The Semantic Web aims at machine agents that thrive on explicitly specified semantics of content in order to search, filter, condense, or negotiate knowledge for their human users. A core technology for making the Semantic Web happen, but also to leverage application areas like Knowledge Management and E-Business, is the field of Semantic Annotation, which turns human-understandable content into a machine understandable form. This book reports on the broad range of technologies that are used to achieve this translation and nourish 3rd millennium applications. The book starts with a survey of the oldest semantic annotations, viz. indexing of publications in libraries. It continues with several techniques for the explicit construction of semantic annotations, including approaches for collaboration and Semantic Web metadata. One of the major means for improving the semantic annotation task is information extraction and much can be learned from the semantic tagging of linguistic corpora. In particular, information extraction is gaining prominence for automating the formerly purely manual annotation task - at least to some extent. An important subclass of information extraction tasks is the goal-oriented extraction of content from HTML and / or XML resources.

Foreword
Semantic Annotation in Mathematics and Math-Netp. 3
Annotating of the Shallow and the Deep Webp. 25
Collaboration through Annotations in the Semantic Webp. 46
Semantic Markup of News Items with Lixtop. 63
Using RDF Schema to Interpret XML Documents Meaningfullyp. 79
Linguistic Annotation for the Semantic Webp. 93
Designing Adaptive Information Extraction for the Semantic Web in Amilcarep. 112
Content-based Indexing and Searching of Multimedia Documentsp. 128
Supporting Semantic Image Annotation and Searchp. 147
Image Semantics without Annotationsp. 156
MUSETTE: Uses-based Annotation for the Semantic Webp. 180
COHSE: Conceptual Open Hypermedia Servicep. 193
Annotation for an Open Learning Repository for Computer Sciencep. 212
Author Indexp. 229
Table of Contents provided by Blackwell. All Rights Reserved.

ISBN: 9781586033453
ISBN-10: 158603345X
Series: Frontiers in Artificial Intelligence and Applications
Audience: Professional
Format: Hardcover
Language: English
Number Of Pages: 240
Published: 1st January 2003
Publisher: IOS Press
Country of Publication: US
Dimensions (cm): 23.0 x 16.51  x 1.4
Weight (kg): 0.51