文章基本信息

标题：A System of User-Guided Biological Literature Search Engine
本地全文：下载
作者：Meng Hu ; Jiong Yang
期刊名称：Bulletin of the Technical Committee on Data Engineering
出版年度：2005
卷号：28
期号：04
出版社：IEEE Computer Society
摘要：Efﬁciently ﬁnding most relevant publications in large corpora is an important research topic in infor- mation retrieval. The number of biological literatures grows exponentially in various publication data- bases. The objective of the study in this paper is to fast locate useful publications from large biomedical document collections based on users’ preferences. In this paper, a new iterative search paradigm is introduced which integrates biological background knowledge in organizing the results returned by search engines, and utilizes user feedbacks to ﬁlter irrel- evant documents. A term weighting scheme based on Gene Ontology is introduced to improve similarity measurement of documents in biomedical domain. A prototype text retrieval system has been built based on this iterative search approach. Experimental results show that the system can ﬁlter a large number of irrelevant documents while keep most of the relevant documents with limited user interactions.