PASCAL - Pattern Analysis, Statistical Modelling and Computational Learning

Mining the Semantic Web
Ajay Chakravarthy
In: AKT Postgraduate doctoral colloquium, 14-16 June 2005, Milton Keynes, United Kingdom.


In this paper we propose research on how semantic web technologies can be used to mine the web, for information extraction. We also examine how new unsupervised processes can aid in extracting precise and useful information from semantic data, thus reducing the problem of information overload .The Semantic Web adds structure to the meaningful content of Web pages; hence information is given a well-defined meaning; which is both human readable as well as machine-processable. This enables the development of automated intelligent systems, allowing machines to comprehend the semantics of documents and data. Here we propose techniques for automating the process of search, analysis and categorization of semantic data, further we examine how these techniques can aid in improving the efficiency of already existing information retrieval technologies by implementing reporting functionalities, which is highlighted in the future work and challenges

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EPrint Type:Conference or Workshop Item (Paper)
Project Keyword:Project Keyword UNSPECIFIED
Subjects:Information Retrieval & Textual Information Access
ID Code:1645
Deposited By:Ajay Chakravarthy
Deposited On:28 November 2005