A literature-based framework for semantic description of e-Science resources is presented. The main hypothesis is that the scientific literature can be used to mine semantic descriptions to facilitate semi-automatic annotation of e-Science resources. The approach includes text-mining methodologies to automatically learn domain annotation tag-sets; identify descriptive sentences and extract semi-formal functional descriptions of e-Science resources from the literature; link similar resources into semantic networks to enhance the resource discovery process.
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A literature-based framework for semantic description of e-Science resources is presented. The main hypothesis is that the scientific literature can be used to mine semantic descriptions to facilitate semi-automatic annotation of e-Science resources. The approach includes text-mining methodologies to automatically learn domain annotation tag-sets; identify descriptive sentences and extract semi-formal functional descriptions of e-Science resources from the literature; link similar resources into semantic networks to enhance the resource discovery process.
Dr Hammad Afzal is working as an Assistant Professor at National University of Sciences and Technology, Pakistan. He completed his doctoral studies from School of Computer Science, University of Manchester, UK in Dec, 2009. He has also been affiliated with Digital Enterprise Research Institute (DERI), Ireland, Galway as a Research Fellow.
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Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Afzal HammadDr Hammad Afzal is working as an Assistant Professor at National University of Sciences and Technology, Pakistan. He completed his doctoral studies from School of Computer Science, University of Manchester, UK in Dec, 200. Nº de ref. del artículo: 5151073
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