Study on Text Case Knowledge Base
In order to make the case knowledge highly effective in exchanging and sharing, a Case Based Reasoning Cubical Model (CBRCM) is built, which can solve some existing problems in traditional case knowledge base (CKB) by introducing sentence vector space model and ontology. This paper presents a method on case knowledge representation which should elevate the granular of text representation from words to sentence and supported case retrieval based on semantics and domain knowledge (DK). The representation of case knowledge can effectively increase the speed of text automatic clustering and retrieval.
Sentence Vector Space Model Ontology CBR Case Knowledge Base Case Based Reasoning Cubical Model Knowledge Management
Jiang Wu Pengfei Xiang Chunjun Lu
College of Information Science and Technology, Northwest University, Xian, 710127, China
国际会议
International Forum of Knowledge as a Service(2010知识服务国际论坛)
厦门
英文
207-210
2010-04-12（万方平台首次上网日期，不代表论文的发表时间）