Titlebook: Literature-based Discovery; Peter Bruza,Marc Weeber Book 2008 Springer-Verlag Berlin Heidelberg 2008 data mining.knowledge.knowledge disco

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Where is the Discovery in Literature-Based Discovery?hapter starts with definitions of discovery and innovation, especially in the LBD context, and then proceeds to describe radical discovery and LBD. It then describes the vetting necessary to confirm the presence of discovery. Finally, the chapter concludes with a few examples where use of more compr

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Evaluation of Literature-Based Discovery Systemsas yet to be proven useful. To overcome this difficulty, many researchers in literature-based discovery (LBD) replicated Swanson‘s discoveries to evaluate the performance of their systems. They reported overall success if one of the discoveries generated by their system was the same as Swanson‘s dis

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Literature-Based Knowledge Discovery using Natural Language Processingionships explicit supports hypothesis generation and discovery. Currently LBD systems depend exclusively on co-occurrence of words or concepts in target documents, regardless of whether relations actually exist between the words or concepts. We describe a method to enhance LBD through capture of sem

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Information Retrieval in Literature-Based Discoveryation retrieval (IR) with a focus on its role in LBD. It covers the major approaches to indexing and retrieval, followed by a description of research evaluating them. The chapter concludes with an overview of IR techniques used for LBD and promising directions for the future.

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Biomedical Application of Knowledge Discovery frag-mental conclusion from the viewpoint of scientific facts, so discovery of hidden knowledge or hypothesis generation by leveraging this fragmental information has come into the limelight and more expectations on the system constructions to assist them has been paid. To respond to these expectat

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A. K. Sehgal,X. Y. Qiu,P. Srinivasangenden ein Blick darauf geworfen, wie sie in der Praxis angewendet werden und welche Anforderungen dies an die Ausführenden stellt. Angesichts der Komplexität, der sich die Unternehmen ausgesetzt sehen, ist es kaum verwunderlich, dass Informationstechnik beziehungsweise Informationstechnologie (IT)

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M. Yetisgen-Yildiz,W. Pratthnung’, zur ‘Erlösrechnung’ etc. hergestellt. Allgemeines Ziel dieses Kapitels ist es, die Querbezüge zu den drei erstgenannten Begriffen aufzugreifen, deren Inhalte zu konkretisieren und zu erweitern bzw. Lösungsansätze für darin enthaltene Problemstellungen zu entwickeln. Das gleiche Ziel wird im