Issue No. 06 - June (2004 vol. 16)
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/TKDE.2004.16
Maria Halkidi , IEEE Computer Society
<p><b>Abstract</b>—With the unstoppable growth of the World Wide Web, the great success of Web Search Engines, such as Google and Alta-Vista, users now turn to the Web whenever looking for information. However, many users are neophytes when it comes to computer science, yet they are often specialists of a certain domain. These users would like to add more <it>semantics</it> to guide their search through World Wide Web material, whereas currently most search features are based on raw lexical content. We show in this paper how the use of the incoming links of a page can be used efficiently to classify a page in a concise manner. This enhances the browsing and querying of Web pages. In this article, we focus on the tools needed in order to manage the links and their semantics. We further process these links using a hierarchy of concepts, akin to an ontology, and a thesaurus. This work is demonstrated by an prototype system, called THESUS, that organizes thematic Web documents into semantic clusters. Our contributions in this paper are the following: 1) a model and language to exploit link semantics information, 2) the THESUS prototype system, 3) its innovative aspects and algorithms, more specifically, the novel similarity measure between Web documents applied to different clustering schemes (DB-Scan and COBWEB), and 4) a thorough experimental evaluation proving the value of our approach.</p>
World Wide Web, link analysis and management, semantic Web.
Iraklis Varlamis, Michalis Vazirgiannis, Maria Halkidi, Benjamin Nguyen, "THESUS, a Closer View on Web Content Management Enhanced with Link Semantics", IEEE Transactions on Knowledge & Data Engineering, vol. 16, no. , pp. 685-700, June 2004, doi:10.1109/TKDE.2004.16