The SEWASIE (SEmantic Webs and AgentS in Integrated Economies) project (IST-2001-34825) is an European research project that aims at designing and implementing an advanced search engine enabling intelligent access to heterogeneous data sources on the web. In this paper we focus on the Ontology Builder component of the SEWASIE system, that is a framework for information extraction and integration of heterogeneous structured and semi-structured information sources, built upon the MOMIS (Mediator envirOnment for Multiple Information Sources) system. The result of the integration process is a Global Virtual View (in short GVV) which is a set of (global) classes that represent the information contained in the sources being used. In particular, we present the application of our integration concerning a specific type of source (i.e. web documents), and show the extension of a built-up GVV by the addition of another source.
Building an integrated Ontology within SEWASIE system / Beneventano, D.; Bergamaschi, S.; Guerra, F.; Vincini, M.. - (2003), pp. 82-98. (Intervento presentato al convegno 1st International Conference on Semantic Web and Databases, SWDB 2003 tenutosi a deu nel 2003).
Building an integrated Ontology within SEWASIE system
Beneventano D.;Bergamaschi S.;Guerra F.;Vincini M.
2003
Abstract
The SEWASIE (SEmantic Webs and AgentS in Integrated Economies) project (IST-2001-34825) is an European research project that aims at designing and implementing an advanced search engine enabling intelligent access to heterogeneous data sources on the web. In this paper we focus on the Ontology Builder component of the SEWASIE system, that is a framework for information extraction and integration of heterogeneous structured and semi-structured information sources, built upon the MOMIS (Mediator envirOnment for Multiple Information Sources) system. The result of the integration process is a Global Virtual View (in short GVV) which is a set of (global) classes that represent the information contained in the sources being used. In particular, we present the application of our integration concerning a specific type of source (i.e. web documents), and show the extension of a built-up GVV by the addition of another source.
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