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A Query Suggestion Workflow for Life Science IR-Systems
oleh: Esch Maria, Chen Jinbo, Weise Stephan, Hassani-Pak Keywan, Scholz Uwe, Lange Matthias
Format: | Article |
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Diterbitkan: | De Gruyter 2014-06-01 |
Deskripsi
Information Retrieval (IR) plays a central role in the exploration and interpretation of integrated biological datasets that represent the heterogeneous ecosystem of life sciences. Here, keyword based query systems are popular user interfaces. In turn, to a large extend, the used query phrases determine the quality of the search result and the effort a scientist has to invest for query refinement.