Southampton and The Open University. Preface(6)

Advanced Knowledge Technologies is recognised as a leading research programme conducted at some of the foremost informatics departments in Britain. It is also a training ground for a new generation of researchers. To highlight the work of these students, a

Mining Semantic Web

Ajay Chakravarthy

Regent Court, 211 Portobello Street, Sheffield, S1 4DP, United Kingdom, Department of Computer Science, University of Sheffield,

A.Chakravarthy@dcs.shef.ac.uk

Abstract: mine the web, for information extraction. We also examine how new unsupervised processes can aid in In this paper we propose the research on how semantic web technologies can be used to 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-process able. This enables the development of automated intelligent systems, allowing machines to comprehend the semantic 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.

1. Introduction

The Semantic Web (SW) can be defined as an extension of the current web. Here the information is presented in a well-defined manner, better enabling computers and people to work in cooperation. Data in the Semantic Web is defined and linked in a way that can be used for more effective discovery, automation, integration and reuse across applications. This data can be shared and processed by automated tools as well as people. just web pages, but databases, services, programs, sensors, personal devices, and even household The Semantic Web will provide an infrastructure that enables not appliances to both consume and produce data on the web. ways in which the applications using semantic data can communicate, hence in order to establish a (Hendler et al, 2002). There are various common framework for representation of semantic information the Resource Description Framework (RDF) is introduced. The Semantic Web is known for being a web of Semantic Web Documents (SWDs) rather than for using various technologies; however, little is known about the structure or growth of the web of Semantic Web Documents. Today's search engines deal with SWDs poorly, since they have been developed to process text documents. Most make no attempt to parse XML documents into appropriate tokens and none take advantage of the structural and semantic information encoded in a SWD. This paper investigates the techniques for effective crawling, indexing, analysis and classification of semantic data.

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