Using Semantic Links for Information Extraction and Semantic Representation
نویسنده
چکیده
Ontologies and possibilities of using and enhancing them is a currently widespread research area.Widely unused are relations between concepts defined in ontologies in the context of knowledge representation. In this paper, the potential of using a semantic network to support the automatic generation of semantic structures is analysed. Semantic representations to unstructured natural language documents are generated by means of the method SeReMeD. This method maps a natural language document to concepts of the Unified Medical Language System (UMLS). Contextual relations expressed in natural language are automatically identified and represented in the generated structures. To obtain additional semantic relationships, the UMLS Semantic Network and relationships between concepts predefined in the UMLS Metathesaurus are used to support the structuring process. By means of these relations, automatically generated semantic structures can be enhanced and ameliorated.
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تاریخ انتشار 2007