作者: J. A. Gnassi , G. O. Barnett , R. B. Merz , L. Hassan , C. Cimino
DOI:
关键词: Sargable 、 Computer science 、 Query language 、 Query expansion 、 Query optimization 、 Web search query 、 Ranking (information retrieval) 、 Information retrieval 、 RDF query language 、 Web query classification
摘要: Inexperienced users of online medical databases often do not know how to formulate their queries for effective searches. Previous attempts help them have provided some standard procedures query formulation, but depend on the user enter concepts a properly so that correct search strategy will be formed. Intelligent assistance specific particular is given. Several systems refine initial based relevance feedback, usually make an effort determine well-formed before actually performing search. As part Interactive Query Workstation (IQW), we developed expert system, Questions and Answers (Q&A), assists in formulating given entered by determines if well-formed, refining it when necessary.