Abstract | ||
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People are thirsty for medical information. Existing Web search engines cannot handle medical search well because they do not consider its special requirements. Often a medical information searcher is uncertain about his exact questions and unfamiliar with medical terminology. Therefore, he prefers to pose long queries, describing his symptoms and situation in plain English, and receive comprehensive, relevant information from search results. This paper presents MedSearch, a specialized medical Web search engine, to address these challenges. MedSearch can assist ordinary Internet users to search for medical information, by accepting queries of extended length, providing diversified search results, and suggesting related medical phrases. |
Year | DOI | Venue |
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2007 | 10.1145/1242572.1242752 | WWW |
Keywords | Field | DocType |
specialized search engine,medical phrase,web search engine,medical search,relevant information,specialized medical web search,medical information searcher,diversified search result,medical terminology,medical information,search result,algorithms,search engine | Web search engine,Web search query,Data mining,Metasearch engine,World Wide Web,Information retrieval,Semantic search,Computer science,Search engine indexing,Search-oriented architecture,Search analytics,Spamdexing | Conference |
Citations | PageRank | References |
5 | 1.42 | 22 |
Authors | ||
4 |
Name | Order | Citations | PageRank |
---|---|---|---|
Gang Luo | 1 | 741 | 44.73 |
Chunqiang Tang | 2 | 1287 | 75.09 |
Hao Yang | 3 | 660 | 48.26 |
Xing Wei | 4 | 1141 | 60.87 |