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MedSearch is a retrieval system for the medical literature

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1 MedSearch is a retrieval system for the medical literature
Angelos Hliaoutakis, Giannis Varelas, Euripides G.M. Petrakis, Evangelos Milios MedSearch is a retrieval system for the medical literature Medline: the premier bibliographic database of the U.S. NLM (15 million references) SSRM is the retrieval model of MedSearch Semantic Similarity Retrieval Model Computes the similarity between documents containing semantically similar terms Semantic Similarity: conceptual similarity between terms using MeSH Terms not necessarily lexicographically similar (“car” - “automobile”) Term Similarity: Map two terms to an ontology and compute their relationship in that ontology MeSH: ontology for medical and biological terms SSRM Algorithm: Input: Query q=(q1,q2,…qN), Document d=(d1,d2,…dN) Preprocessing: Queries and documents are initially assigned tfxidf weights Query term re-weighting similar terms reinforce each other Query expansion with synonyms and similar terms and term re-weighting Document similarity SSRM is evaluated through OHSUMED A standard TREC collection with 293,856 medical articles from MedLine Retrieval methods: SSRM (expansion T= 0.5, 0.9) Vector Space Model (VSM)


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