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Annotation for the Semantic Web Frontiers in Artificial Intelligence and Applications 1st Edition by Siegfried Handschuh, Steffen Staab ISBN 158603345X 9781586033453

Name: Annotation for the Semantic Web Frontiers in Artificial Intelligence and Applications 1st Edition by Siegfried Handschuh, Steffen Staab ISBN 158603345X 9781586033453
SKU: EB-19754
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Authors:Annotation for the semantic web-IOS Press (2003) , Author sort:Press, Annotation for the semantic web-IOS , Published:Published:Jan 1999

SKU: EB-19754 Category: eBook PDF Tags: Annotation, Applications, Artificial intelligence, Frontiers, Semantic Web, Siegfried Handschuh, Steffen Staab

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ISBN 10: 158603345X

ISBN 13: 978-1586033453

Author: Siegfried Handschuh, Steffen Staab

Annotation for the Semantic Web (Frontiers in Artificial Intelligence and Applications) 1st Edition: 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.