Semantic information extraction from Tamil documents. (2nd March 2009)

• Record Type: Journal Article
• Authors: Pandian, S. Lakshmana; Devakumar, J.; Geetha, T.V.
• Is Part Of: International journal of metadata, semantics and ontologies. Volume 3:Number 3(2008)
• Page Start: 226
• Page End: 232
• Publication Date: 2009-03-02
• Subjects: concept extraction -- relation extraction -- entity extraction -- textual entailment -- semantic information extraction -- Tamil documents -- India -- semantics; Metadata -- Periodicals; Semantic Web -- Periodicals; Ontologies (Information retrieval) -- Periodicals; Data structures (Computer science) -- Periodicals; Information theory -- Periodicals; 005.74
• Languages: English
• ISSNs: 1744-2621

Abstract

Semantic information extraction is a process of extracting concepts, entities, relations and entailment rules from a document. We propose an approach to extract concepts, entities and relations from the domain specific Tamil textual documents corpus. Concepts are extracted out by identifying semantic relationship between unique terms in documents by lexical database namely WordNet. Entity extraction process identifies proper names and its predefined named entity categories. Relation between two entities or between two concepts or between concept and entity in each sentence are extracted. This extracted semantic knowledge is exploited as a resource for extracting semantic information from the domain-related documents.