概念間の関連度に基づく情報ランク付けを用いた知的検索手法

概要

論文の詳細を見る
In this information-oriented society that we live in, a method of retrieving necessary information is needed. Obtaining necessary information, by information retrieval using the Boolean method, which uses keywords given by the user, narrows corresponding documents down to the thousands or ten thousands, which results in the user not knowing which document to look at first. Therefore, by transferring the users retrieval query and documents into quantitative values and ranking the requested information in order of relation to the users demand, it is needed to give the user information that fits the users demand. As a calculation method to transfer the retrieval query and the documents into quantitative values, the vector space model exists, but this paper shows that the method of ranking information, using the concept-base and the degree of association, is effective.
社団法人　人工知能学会の論文
2002-11-01