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Gordon, M.D.; Dumais, S.: Using latent semantic indexing for literature based discovery (1998)
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- Abstract
- Latent semantic indexing (LSI) is a statistical technique for improving information retrieval effectiveness. Here, we use LSI to assist in literature-based discoveries. The idea behind literature-based discoveries is that different authors have already published certain underlying scientific ideas that, when taken together, can be connected to hypothesize a new dicovery, and that these connections can be made by exploring the scientific literature. We explore latent semantic indexing's effectiveness on 2 discovery processes: uncovering 'nearby' relationships that are necessary to initiate the literature based discovery process; and discovering more distant relationships that may genuinely generate new discovery hypotheses
- Date
- 11. 2.2016 16:22:19
- Source
- Journal of the American Society for Information Science. 49(1998) no.8, S.674-685
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Teevan, J.; Dumais, S.: Web retrieval, ranking and personalization (2011)
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- Pages
- S.189-203
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Dumais, S.; Chen, H.: Hierarchical classification of Web content (2000)
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- Pages
- S.256-263
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Deerwester, S.; Dumais, S.; Landauer, T.; Furnass, G.; Beck, L.: Improving information retrieval with latent semantic indexing (1988)
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- Pages
- S.36-40