Presented at: 6th International and 2nd Asian Semantic Web Conference (ISWC2007+ASWC2007)
by Ivan Berlocher, Hyun-Geun Park, Ki-Un Cho, Kwang-Seun Choi
In this paper we describes OPTIMA (Ontology Population Tool based on Information extraction and MAtching) a system for semiautomatically populating ontologies from unstructured and semi-structured information. Based on Information Extraction techniques the system identifies Named Entities and their inter-relations that serve as basis of a Machine Learning algorithm for generating candidates of instances according to classes described in the ontology schema, associated with a probability score.
OPTIMA: A System for Semi Automatic and Large Scale Ontology Population was presented at this event.
Resource URI on the dog food server: http://data.semanticweb.org/conference/iswc-aswc/2007/tracks/posters-demos/papers/385
Same as: http://revyu.com/things/iswc-aswc-2007-posters-demos-paper-385-optima-a
Explore this resource elsewhere: