• Korean Journal of Oriental Medicine
• /
• v.12 no.3 s.18
• /
• pp.1-15
• /
• 2006

For the recent several years, there has been much interest in lexical semantic network. However, it seems to be very difficult to evaluate the effectiveness and correctness of it and invent the methods for applying it into various problem domains. In order to offer the fundamental ideas about how to evaluate and utilize lexical semantic networks, we developed two automatic word clustering systems, which are called system A and system B respectively. 68,455,856 words were used to learn both systems. We compared the clustering results of system A to those of system B which is extended by the lexical-semantic network. The system B is extended by reconstructing the feature vectors which are used the elements of the lexical-semantic network of 3,656 '-ha' verbs. The target data is the 'multilingual Word Net-CoreNet'.When we compared the accuracy of the system A and system B, we found that system B showed the accuracy of 46.6% which is better than that of system A, 45.3%.

• Proceedings of the Korea Information Processing Society Conference
• /
• 2008.11a
• /
• pp.747-750
• /
• 2008

본 연구는 온톨로지, 자연어 처리, 메타데이터 등의 시맨틱 웹 기반 기술들을 이용하여 시맨틱 웹 응용을 위한 전체적인 기술 적용과 그의 활용에 목적을 두고 있다. 이를 위해 OWL을 기반으로 조직이나 기관의 지식 주제별 도메인 온톨로지와, 기존 워드넷(WordNet)이나 더브린 코어 메타데이터(Dublin Core Meta Data)와 조직에 정의된 데이터베이스의 스키마를 MDR로 구축하여 상호 연결하여 온톨로지가 갖는 지능적 추론과 규칙 서비스와 표준화된 메타데이터의 결합 방법을 제공한다. 이는 기존에 온톨로지와 메타데이터의 재활용과 연결(Alignment)에 있어 연구적으로 높은 가치가 있다. 그리고 조직의 사용자가 문서를 작성할 때 문서의 내용에 대해 자연어 처리 기술과 온톨로지의 기술을 이용해 적합한 용어나 메타데이터를 자동으로 제공하여 작성된 문서의 공유와 재사용성을 높이고, 작성된 문서를 XML 형식으로 구성되는 XML 기반 지능 문서 데이터베이스(XMB Based Intelligent Document Database)에 저장하여 유사한 문서를 작성하거나 사용할 필요가 있는 사용자에게 문서 등록과 검색 에이전트(Document Registry and Retrieval Agent)를 통해 이러한 제공하여 문서 지식의 사유화를 최소화 하고, 유사 문서의 재작성과 또는 특정 문서의 작성에 필요한 시간이나 경비를 줄이게 된다. 또한 웹상이나 PDA 같은 개인 휴대장치를 통해서도 서 등록과 검색 에이전트를 통해 문서를 검색하고 사용할 수 있게 한다면 언제 어디서나 해당 서비스를 활용하는 유비쿼터스와 시맨틱 웹의 실질적 응용을 거둘 수도 있으리라 사료된다.

• Journal of the Korean Society for Library and Information Science
• /
• v.40 no.3
• /
• pp.175-190
• /
• 2006

For the recent several years, there has been much interest in lexical semantic network However it seems to be very difficult to evaluate the effectiveness and correctness of it and invent the methods for applying it into various problem domains. In order to offer the fundamental ideas about how to evaluate and utilize lexical semantic networks, we developed two automatic vol·d clustering systems, which are called system A and system B respectively. 68.455.856 words were used to learn both systems. We compared the clustering results of system A to those of system B which is extended by the lexical-semantic network. The system B is extended by reconstructing the feature vectors which are used the elements of the lexical-semantic network of 3.656 '-ha' verbs. The target data is the 'multilingual Word Net-CoroNet'. When we compared the accuracy of the system A and system B, we found that system B showed the accuracy of 46.6% which is better than that of system A. 45.3%.

• Journal of the Korea Society of Computer and Information
• /
• v.12 no.6
• /
• pp.21-30
• /
• 2007

Simulation means modeling structures or behaviors of the various objects, and experimenting them on the computer system. And the major approaches are DEVS(Discrete Event Systems Specification). Petri-net or Automata and so on. But, the simulation problems are getting more complex or complicated these days, so that an intelligent agent-based is being studied. In this paper, we are describing an intelligent agent-based simulation tool, which can supports the simulation experiment more efficiently. The significances of our system can be described as follows. First, the system can provide some AI algorithms through the system libraries. Second, the system supports simple method of designing the simulation model, since it's been built under the Finite State Machine (FSM) structure. And finally, the system acts as a simulation framework by supporting user not only the simulation engine, but also user-friendly tools, such as modeler scriptor and simulator. The system mainly consists of main simulation engine, utility tools, and some other assist tools, and it is tested and showed some efficient results in the three different problems.