뉴럴 네트워크를 활용한 지식 정보 검색 연구 현황
Research Trends on Knowledge Retrieval based on Neural Networks
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참고문헌
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초록
지식 정보 검색은 머신 러닝을 비롯한 여러 응용 프로그램의 기본 구성 요소이다. 최근 지식 정보 검색 분야에서는 시멘틱 검색 능력 향상을 위하여 뉴럴 네트워크와 지식 그래프를 기반으로한 연구가 활발히 진행되고 있다. 본 논문에서는 지식 정보 검색의 대표 기법인 용어 일치 기반 검색, 뉴럴 네트워크 기반 검색 그리고 지식 그래프의 상징성과 뉴럴 네트워크의 연결성을 결합한 지식 정보 검색 연구의 최근 현황을 소개하고 향후 연구 방향도 제안한다.
Abstract
Knowledge retrieval is an important component for various applications including machine learning. Recently, there are several researches on neural networks and knowledge graphs for better semantic searching performance. We review recent knowledge retrieval methods using term matching-based, neural network-based and neural-symbolic-based knowledge approaches. We also briefly discuss a possible future research directions.
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