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Annotation for the Semantic Web (Frontiers in Artificial Intelligence and Applications)edited by: Siegfried Handschuh, Steffen Staab |
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AbstractThe Semantic Web aims at machine agents that thrive on explicitly specifiedsemantics of content in order to search, filter, condense, or negotiateknowledge for their human users. A core technology for making the Semantic Webhappen, but also to leverage application areas like Knowledge Management andE-Business, is the field of Semantic Annotation, which turns human-understandable content into a machine understandable form. This book reportson the broad range of technologies that are used to achieve this translationand nourish 3rd millennium applications. The book starts with a survey of theoldest semantic annotations, viz. indexing of publications in libraries. Itcontinues with several techniques for the explicit construction of semanticannotations, including approaches for collaboration and Semantic Web metadata.One of the major means for improving the semantic annotation task isinformation extraction and much can be learned from the semantic tagging oflinguistic corpora. In particular, information extraction is gainingprominence for automating the formerly purely manual annotation task - atleast to some extent.An important subclass of information extraction tasks isthe goal-oriented extraction of content from HTML and / or XML resources.
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