Research on Text Conceptual Relation Extraction Based on Domain Ontology

Abstract:

At present, the ontology learning research focuses on the concept and relation extraction; the traditional extraction methods ignore the influence of the semantic factors on the extraction results, and lack of the accurate extraction of the relations among concepts. According to this problem, in this paper, the association rule is combined with the semantic similarity, and the improved comprehensive semantic similarity is applied into the relation extraction through the association rule mining relation. The experiments show that the relation extraction based on this method effectively improves the precision of the extraction results.

• Periodical: Advanced Materials Research (Volume 739)
• Pages: 574-579
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.739.574
• Online since: August 2013
• Authors: Dao Wang Li
• Keywords: Association Rule, Ontology, Ontology Learning, Relation Extraction, Similarity

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