A Practical Approach to Modeling and Extracting Information from Semantic Web Based on Microformats

Abstract

The lowercase semantic web consists of web pages enriched with semantic special tags which are called microformats, and it is considered a pragmatic path to the Semantic Web. In this work, we present a practical approach for modeling (microformat based) semantic relations between web pages by means of classical graph like data structures, such as semantic networks. In order to provide categorization into the semantic network we implement the special set of entrance points to the semantic network, which are so-called, semantic indexes. Then we present an agent software approach to retrieve semantically related information between web pages, we describe the main modules and data structures of the process and finally we present snapshots of the tool.