Term-weighting approaches in automatic text retrieval
Information Processing and Management: an International Journal
A translation approach to portable ontology specifications
Knowledge Acquisition - Special issue: Current issues in knowledge modeling
Viewing stemming as recall enhancement
SIGIR '96 Proceedings of the 19th annual international ACM SIGIR conference on Research and development in information retrieval
Annotea: an open RDF infrastructure for shared Web annotations
Proceedings of the 10th international conference on World Wide Web
S-CREAM - Semi-automatic CREAtion of Metadata
EKAW '02 Proceedings of the 13th International Conference on Knowledge Engineering and Knowledge Management. Ontologies and the Semantic Web
User-System Cooperation in Document Annotation Based on Information Extraction
EKAW '02 Proceedings of the 13th International Conference on Knowledge Engineering and Knowledge Management. Ontologies and the Semantic Web
SemTag and seeker: bootstrapping the semantic web via automated semantic annotation
WWW '03 Proceedings of the 12th international conference on World Wide Web
Agents handling annotation distribution in a corporate semantic web
Web Intelligence and Agent Systems
Jena: implementing the semantic web recommendations
Proceedings of the 13th international World Wide Web conference on Alternate track papers & posters
Bringing together structured and unstructured sources: the OUMSUIS approach
OTM'06 Proceedings of the 2006 international conference on On the Move to Meaningful Internet Systems: AWeSOMe, CAMS, COMINF, IS, KSinBIT, MIOS-CIAO, MONET - Volume Part I
Engineering Applications of Artificial Intelligence
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Sharing and enriching of documents is expected and is made possible nowadays with tools enabling users to perform different kinds of annotations. We propose an Ontology-based approach to automate the semantic annotation of texts; Ontologies are represented in OWL (Web Ontology Language). OWL is supported by Semantic Web tools such as Racer for reasoning purpose and Jena. The tool for automatic semantic annotation supporting word-based and stem-based pre-indexing techniques is presented and its evaluation is made on three medical corpora both in English and French (brain disease area, cardiology and OHSUMED collection). The evaluation shows difference in the results obtained according to the pre-indixng mode used.