By S. Handschuh, S. Staab
The Semantic internet goals at desktop brokers that thrive on explicitly detailed semantics of content material on the way to seek, filter out, condense, or negotiate wisdom for his or her human clients. A center know-how for making the Semantic net ensue, but additionally to leverage program components like wisdom administration and E-Business, is the sphere of Semantic Annotation, which turns human-understandable content material right into a computer comprehensible shape. This ebook stories at the vast diversity of applied sciences which are used to accomplish this translation and nourish third millennium functions. The ebook begins with a survey of the oldest semantic annotations, viz. indexing of courses in libraries. It maintains with a number of concepts for the specific development of semantic annotations, together with techniques for collaboration and Semantic net metadata. one of many significant potential for making improvements to the semantic annotation activity is info extraction and lots more and plenty may be realized from the semantic tagging of linguistic corpora. specifically, info extraction is gaining prominence for automating the previously basically guide annotation job - not less than to a few extent.An very important subclass of data extraction projects is the goal-oriented extraction of content material from HTML and / or XML assets.
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Additional resources for Annotation for the semantic web
In Proceeding of the WWW2003 - The Twelfth International World Wide Web Conferenceb (to appear), Budapest, HUNGARY, May 2003.  J. Hefin and J. Hendler. Searching the Web with SHOE. In Artificial Intelligence for Web Search. Papers from the AAAI Workshop. WS-00-01, pages 35-40. AAAI Press, 2000.  J. Kahan, M. Koivunen, E. Prud'Hommeaux, and R. Swick. Annotea: An Open RDF Infrastructure for Shared Web Annotations. In Proceedings of the Tenth International World Wide Web Conference, WWW 10, Hong Kong, China, May 1-5, 2001, pages 623-632.
Multiple Ontologies: HTML documents in the semantic web may contain information that is related to different ontologies. Therefore the annotation framework should cater for concurrent annotation with multiple ontologies. Our framework, CREAM that is presented here, targets a comprehensive solution for metadata creation during web page authoring and a-posteriori annotation. The objective is pursued by combining advanced mechanisms for inferencing, fact crawling, document management, meta ontology definitions, metadata re-recognition, content generation, and (as explained in Section 5) information extraction.
However, their disadvantage is that the correct scraping of metadata is dependent to a large extent by data layout rather than by the structures underlying the data. While for many web sites, the assumption of non-cooperativity may remain valid, we assume that many web sites will in fact participate in the Semantic Web and will support the sharing of information. Such web sites may present their information as HTML pages for viewing by the user, but they may also be willing to describe the structure of their information on the very same web pages.