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072282
- 提出了一种自动构造特定领域本体的方法，该方法应用术语抽取和多重聚类技术。在术语抽取阶段，通过术语在专业语料与背景语料中出现概率的对比，采用LLR公式对术语进行评分，取得了更好的抽取效果。在层级关系发现过程中，采用上下文共现信息结合HowNet中词语的语义相似度，进行术语间相似度度量，力求获得术语间最合理的相关状况。同时改进了k-medoids聚类算法，更准确地发现术语的层级关系，进而构造出特定领域的本体。-This paper presents an approach to mining dom
protege
- 这是一个构建本题的开发工具，在信息检索方面很有用，详细用法可以参见《语义网信息组织技术与方法》一书。-this is a Development Tools which can build ontologies ，using in the field of Information Retrieval 。
NetronLightv25-old
- Diagramming data can help you understand this data, look at it from a different perspective and gain insight. Think of Microsoft’s BizTalk, Query Analyzer, Data Transformation Services Designer and so on. Diagrams are being used in many ways and for
GoogleHacks
- Search engines for large collections of data preceded the World Wide Web by decades. There were those massive library catalogs, hand-typed with painstaking precision on index cards and eventually, to varying degrees, automated. There were the large d
owl-cpp
- 本体owl的C++访问库，直接在C++代码中操作owl本体-owlcpp is a C++ library for reading and querying OWL ontologies.