• Title/Summary/Keyword: Triple instance generation

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Pattern and Instance Generation for Self-knowledge Learning in Korean (한국어 자가 지식 학습을 위한 패턴 및 인스턴스 생성)

  • Yoon, Hee-Geun;Park, Seong-Bae
    • Journal of the Korean Institute of Intelligent Systems
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    • v.25 no.1
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    • pp.63-69
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    • 2015
  • There are various researches which proposed an automatic instance generation from freetext on the web. Existing researches that focused on English, adopts pattern representation which is generated by simple rules and regular expression. These simple patterns achieves high performance, but it is not suitable in Korean due to differences of characteristics between Korean and English. Thus, this paper proposes a novel method for generating patterns and instances which focuses on Korean. A proposed method generates high quality patterns by taking advantages of dependency relations in a target sentences. In addition, a proposed method overcome restrictions from high degree of freedom of word order in Korean by utilizing postposition and it identifies a subject and an object more reliably. In experiment results, a proposed method shows higher precision than baseline and it is implies that proposed approache is suitable for self-knowledge learning system.

i-Manager: An Implementation of LOD Instance Development System (i-Manager : LOD 인스턴스 개발 시스템의 구현)

  • Moon, Hee-kyung;Han, Sung-kook
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.21 no.6
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    • pp.1174-1182
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    • 2017
  • The research and development on Web of Data to realize the opening and sharing of diverse, heterogonous data on the Web has been actively accomplished. As a standard data model for this effort, LOD (Linked Open Data) based on ontology has been proposed. A specialized instance generation system is vital to the development of LOD-based system effectively. This paper implements i-Manager as an appropriate environment for the development of LOD instances, considering the requirements of LOD systems and the practical development environment of the diverse application domains. i-Manager separates the instance layer from the ontology layer by way of LOD Interface Sheet (LIS) and implements the specialized functions requested in LOD instance development, such as instance edit/store, visualization and SPARQL query processing. This paper proposes a new approach for LOD instance development, and i-Manager can be applied for the practical LOD development environment in the diverse application areas.