Semantic Knowledge Mining Techniques for Ubiquitous Access Media Usage Analysis

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Author(s): John Garofalakis (University of Patras, Greece), Theodoula Giannakoudi (University of Patras, Greece), Yannis Panagis (University of Patras, Greece), Evangelos Sakkopoulos (University of Patras, Greece)and Athanasios Tsakalidis (University of Patras, Greece)
Copyright: 2008
Pages: 22
Source title: Intelligent Information Technologies: Concepts, Methodologies, Tools, and Applications
Source Author(s)/Editor(s): Vijayan Sugumaran (Oakland University, Rochester, USA)
DOI: 10.4018/978-1-59904-941-0.ch038

Keywords: Artificial Intelligence / Computer Science & IT / Information Science Reference

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Abstract

In this chapter, an information acquisition system is proposed which aims to provide log analysis, dealing with ubiquitous access media, by use of semantic knowledge. The lately emerging figure of the semantic Web, the ontologies, may be used to exalt the Web trails to a semantic level so as to reveal their deeper usage information. The proposed architecture, which is presented in detail, intends to overcome mobile devices’ trail duplicates problems and detect semantic operations similarity of server Web services, which are often composed to provide a function. The references that supplement the chapter provide publications that discuss mainly log file mining and analysis and semantic similarity. Useful technology-used URL resources are also provided.

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