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Literature-based discovery: Beyond the ABCs.
- Source :
-
Journal of the American Society for Information Science & Technology . Feb2012, Vol. 63 Issue 2, p218-224. 7p. - Publication Year :
- 2012
-
Abstract
- Literature-based discovery (LBD) refers to a particular type of text mining that seeks to identify nontrivial assertions that are implicit, and not explicitly stated, and that are detected by juxtaposing (generally a large body of) documents. In this review, I will provide a brief overview of LBD, both past and present, and will propose some new directions for the next decade. The prevalent ABC model is not 'wrong'; however, it is only one of several different types of models that can contribute to the development of the next generation of LBD tools. Perhaps the most urgent need is to develop a series of objective literature-based interestingness measures, which can customize the output of LBD systems for different types of scientific investigations. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 15322882
- Volume :
- 63
- Issue :
- 2
- Database :
- Academic Search Index
- Journal :
- Journal of the American Society for Information Science & Technology
- Publication Type :
- Academic Journal
- Accession number :
- 76402677
- Full Text :
- https://doi.org/10.1002/asi.21599