DFKI-LT - Heuristics for Automated Text-Based Shallow Ontology Generation
Heuristics for Automated Text-Based Shallow Ontology Generation
2 Proceedings of the Poster and Demo Session held at the 7th International Semantic Web Conference (ISWC), Karslruhe, Germany, ISWC, 10/2008
In this poster, we present the actual state of our work on the possible derivation of ontological structures from textual analysis. We propose an approach to the extension of existing domain ontologies or even to the semi-automatic ontology generation of such ontologies from scratch, on the base of heuristic rules applied to the result of a multi-layered processing of textual documents. This ongoing investigation is being pursued in the context of the MUSING R&D project, which is dealing with the use of semantic technologies for Business Intelligence applications.
Files: BibTeX, iscw2008.pdf