Do-Heon Jeong, Myunggwon Hwang, Minhee Cho, Hanmin Jung, Soyoung Yoon, Kyungsun Kim, Pyung Kim, Journal of Internet Computing and Services, Vol. 13, No. 5, pp. 33-44, Oct. 2012
10.7472/jksii.2012.13.5.33, Full Text:  HTML
Keywords: Ontology, Text Minining, People Finding Service

Abstract

Semantic web is utilized to construct advanced information service by using semantic relationships between entities. Text mining can be applied to generate semantic relationships from unstructured data resources. In this study, ontology schema guideline, ontology instance generation, disambiguation of same name by text mining and advanced historical people finding service by reasoning have been proposed. Various relationships between historical event, organization, people, which are created by domain experts, are linked to literatures of National Institute of Korean History (NIKH). It improves the effectiveness of user access and proposes advanced people finding service based on relationships. In order to distinguish between people with the same name, we compares the structure and edge, nodes of personal social network. To provide additional information, external resources including thesaurus and web are linked to all of internal related resources as well.

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