Abstract
We explore the named entity (NE) recognition and semantic relation extraction technique on the Thai cultural database. Within the limited domain and well-structured database, our proposed method can perform in an acceptable high accuracy to generate the tuples of semantic relation for expressing the essence of the record in terms of infobox and knowledge map. In this paper, we propose a semantic relation extraction approach based on simple relation templates that determine relation types and their arguments. We attempt to reduce semantic drift of the arguments by using named entity models as semantic constraints. Experimental results indicate that our approach is very promising. We successfully apply our approach to a cultural database and discover more than 18,000 relation instances with expected high accuracy.
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