Heavy personal assistant architecture for the Enterprise Semantic Web

A poster presentation written by Algirdas Laukaitis and Olegas Vasilecas. It was presented at the ESWC2007. It is about Formal concept analysis, Semantic Web, Documents self-organization, Natural language interfaces and Ontology engineering

[edit] Abstract

Integration of the natural language processing into the ontology engineering process is an important factor in meeting challenges created by pervasive and ubiquitous computing. In this paper, we present the new methodology of the natural language processing integration into the knowledge base modeling process. We show that the whole ontology engineering process can be speeded and improved if the textual documentation and engineers utterance is preprocessed and integrated into the knowledge base. The self-organizing map received from ontology documentation and the formal concept analysis is suggested to test the ontology comprehensibility and reusability. The IBM Information Framework (IFW) Financial Services Data Model (FSDM) has been used for the present research to tests knowledge base self-organization properties and its reusability for the information systems natural language interfaces. The numerical experiment is provided to show that ontology base supplemented with the suggested techniques can be plugged directly into the natural language interfaces.

This data has been imported from the ESWC2007 RDF