Response to ‘‘Validating discovery in literature-based discovery”

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Advances in Literature-Based Discovery

Since Swanson’s introduction of literature-based discovery in 1986, new hypotheses have been generated by connecting disconnected scientific literatures. In this paper, we present the general discovery model and show how it can be used for drug discovery research. We describe our discovery support tool by discussing a recent discovery for which we used this tool. We conclude by discussing criti...

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Literature-based knowledge discovery in climate science

Climate change caused by anthropogenic activity is one of the biggest challenges of our time. Researchers are striving to understand the effects of global warming on the ecological systems of the oceans, and how these ecological systems influence the global climate, a line of research that is crucial in order to counteract or adapt to the effects of global warming. A major challenge that resear...

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Seeking Informativeness in Literature Based Discovery

The continuously increasing number of publications within the biomedical domain has fuelled the creation of literature based discovery (LBD) systems which identify unconnected pieces of knowledge appearing in separate literatures which can be combined to make new discoveries. Without filtering, the amount of hidden knowledge found is vast due to noise, making it impractical for a researcher to ...

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Recent Advances in Literature Based Discovery

Literature Based Discovery (LBD) is a process that searches for hidden and important connections among information embedded in published literature. Employing techniques from Information Retrieval and Natural Language Processing, LBD has potential for widespread application yet is currently implemented primarily in the medical domain. This article examines several published LBD systems, compari...

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Exploring relation types for literature-based discovery

OBJECTIVE Literature-based discovery (LBD) aims to identify "hidden knowledge" in the medical literature by: (1) analyzing documents to identify pairs of explicitly related concepts (terms), then (2) hypothesizing novel relations between pairs of unrelated concepts that are implicitly related via a shared concept to which both are explicitly related. Many LBD approaches use simple techniques to...

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ژورنال

عنوان ژورنال: Journal of Biomedical Informatics

سال: 2007

ISSN: 1532-0464

DOI: 10.1016/j.jbi.2007.07.002