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Learning Medical Ontologies from the Web

  • Conference paper
Knowledge Management for Health Care Procedures (K4CARE 2007)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 4924))

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Abstract

The development of intelligent healthcare support systems always requires a formalization of medical knowledge. Domain ontologies are especially suitable for this purpose but their construction is, in most cases, manually addressed. This results in long and tedious development processes that hamper their real applicability. This is why there is a need of ontology learning methods that aid the ontology construction process. Considering the enormous amount of digital medical knowledge available freely on the Web, one may consider it as a valid source for developing knowledge acquisition systems. In this paper we offer an overview of an automatic and unsupervised method for learning domain ontologies from the Web. We also introduce its application over a specific medical domain in the frame of the K4Care European project.

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Authors and Affiliations

  1. Intelligent Technologies for Advanced Knowledge Acquisition (ITAKA) Research Group Department of Computer Science and Mathematics, Universitat Rovira i Virgili (URV), Avda. Països Catalans, 26., 43007, Tarragona, (Spain)

    David Sánchez & Antonio Moreno

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  1. David Sánchez
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  2. Antonio Moreno
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David Riaño

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© 2008 Springer-Verlag Berlin Heidelberg

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Sánchez, D., Moreno, A. (2008). Learning Medical Ontologies from the Web. In: Riaño, D. (eds) Knowledge Management for Health Care Procedures. K4CARE 2007. Lecture Notes in Computer Science(), vol 4924. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-78624-5_3

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  • DOI: https://doi.org/10.1007/978-3-540-78624-5_3

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-78623-8

  • Online ISBN: 978-3-540-78624-5

  • eBook Packages: Computer ScienceComputer Science (R0)

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