Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/44742
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dc.contributor.authorGan, Andrew Jian Wen
dc.date.accessioned2011-06-03T06:34:17Z
dc.date.available2011-06-03T06:34:17Z
dc.date.copyright2011en_US
dc.date.issued2011
dc.identifier.urihttp://hdl.handle.net/10356/44742
dc.description.abstractBiomedical researchers often make use of search engines to conduct research. The main objective of the project is to research on ways and means to aid the improvements of information retrieval by Biomedical Researchers. The author’s study was first conducted by creating a database library of terms using a biomedical database known as BioLexicon. The library of terms in this database, coupled with log data of a popular biomedical website known as PubMed, would enable the study on types of query reformulation patterns of biomedical researchers. The user query log of PubMed will be segmented into windows of timeframes which is essential for conducting the analysis.en_US
dc.format.extent41 p.en_US
dc.language.isoenen_US
dc.rightsNanyang Technological University
dc.subjectDRNTU::Engineering::Computer science and engineering::Computer applications::Life and medical sciencesen_US
dc.titleSemantic modelling on user queries of search engines for biomedical literatureen_US
dc.typeFinal Year Project (FYP)en_US
dc.contributor.schoolSchool of Computer Engineeringen_US
dc.description.degreeBachelor of Engineering (Computer Engineering)en_US
dc.contributor.supervisor2Kim Jung Jaeen_US
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Appears in Collections:SCSE Student Reports (FYP/IA/PA/PI)
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