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- W2023410162 abstract "Literature-Based Discovery (LBD) refers to the process of uncovering hidden connections that are implicit in scientific literature. Numerous hypotheses have been generated from scientific literature using the LBD paradigm, which influenced innovations in diagnosis, treatment, preventions and overall public health. However, much of the existing research on discovering hidden connections among concepts have used distributional statistics and graph-theoretic measures to capture implicit associations. Such metrics do not explicitly capture the semantics of hidden connections. Rather, they only allude to the existence of meaningful underlying associations. To gain in-depth insights into the meaning of hidden (and other) connections, complementary methods have often been employed. Some of these methods include: 1) the use of domain expertise for concept filtering and knowledge exploration, 2) leveraging structured background knowledge for context and to supplement concept filtering, and 3) developing heuristics a priori to help eliminate spurious connections." @default.
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- W2023410162 date "2015-02-19" @default.
- W2023410162 modified "2023-09-27" @default.
- W2023410162 title "A context-driven subgraph model for literature-based discovery by Delroy Cameron with Prateek Jain as coordinator" @default.
- W2023410162 doi "https://doi.org/10.1145/2719943.2719945" @default.
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