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Construction of Test Collection for Automatically Extracting Technological Knowledge

기술 지식 자동 추출을 위한 테스트 컬렉션 구축

  • 신성호 (한국과학기술정보연구원 소프트웨어연구실) ;
  • 최윤수 (한국과학기술정보연구원 소프트웨어연구실) ;
  • 송사광 (한국과학기술정보연구원 소프트웨어연구실) ;
  • 최성필 (한국과학기술정보연구원 소프트웨어연구실) ;
  • 정한민 (한국과학기술정보연구원 소프트웨어연구실)
  • Received : 2012.06.18
  • Accepted : 2012.07.04
  • Published : 2012.07.28

Abstract

For last decade, the amount of information has been increased rapidly because of the internet and computing technology development, mobile devices and sensors, and social networks like facebook or twitter. People who want to gain important knowledge from database have been frustrated with large database. Many studies for automatic knowledge extracting meaningful knowledge from large database have been fulfilled. In that sense, automatic knowledge extracting with computing technology has been highly significant in information technology field, but still has many challenges to go further. In order to improve the effectives and efficiency of knowledge extracting system, test collection is strongly necessary. In this research, we introduce a test collection for automatic knwoledge extracting. We name the test collection KEEC/KREC(KISTI Entity Extraction Collection/KISTI Relation Extraction Collection) and present the process and guideline for building as well as the features of. The main feature is to tag by experts to guarantee the quality of collection. The experts read documents and tag entities and relation between entities with a tool for tagging. KEEC/KREC is being used for a research to evaluate system performance and will continue to contribute to next researches.

Keywords

Technological Knowledge;Test Collection;Named Entity Extraction;Relation Extraction

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