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e-Science and the Semantic Web: A Symbiotic Relationship

  • Conference paper
Algorithmic Learning Theory (ALT 2006)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 4264))

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Abstract

e-Science is scientific investigation performed through distributed global collaborations between scientists and their resources, and the computing infrastructure that enables this [4]. Scientific progress increasingly depends on pooling know-how and results; making connections between ideas, people, and data; and finding and reusing knowledge and resources generated by others in perhaps unintended ways. It is about harvesting and harnessing the ”collective intelligence” of the scientific community. The Semantic Web is an extension of the current Web in which information is given well-defined meaning to facilitate sharing and reuse, better enabling computers and people to work in cooperation [1]. Applying the Semantic Web paradigm to e-Science [3] has the potential to bring significant benefits to scientific discovery [2]. We identify the benefits of lightweight and heavyweight approaches, based on our experiences in the Life Sciences.

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References

  1. Berners-Lee, T., Hendler, J., Lassila, O.: The semantic web. Scientific American 284(5), 34–43 (2001)

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  2. Goble, C.A.: Using the semantic web for e-science: Inspiration, incubation, irritation. In: Gil, Y., Motta, E., Benjamins, V.R., Musen, M.A. (eds.) ISWC 2005. LNCS, vol. 3729, pp. 1–3. Springer, Heidelberg (2005)

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  3. Hendler, J.: Science and the semantic web. Science 299, 520–521 (2003)

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  4. Hey, T., Trefethen, A.E.: Cyberinfrastructure for e-science. Science 308(5723), 817–821 (2005)

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Author information

Authors and Affiliations

  1. School of Computer Science, The University of Manchester, Manchester, M13 9PL, UK

    Carole Goble, Oscar Corcho & Pinar Alper

  2. School of Electronics and Computer Science, University of Southampton, Southampton, SO17 1BJ, UK

    David De Roure

Authors
  1. Carole Goble
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  2. Oscar Corcho
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  3. Pinar Alper
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  4. David De Roure
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Editor information

Editors and Affiliations

  1. Departament de Llenguatges i Sistemes Informàtics Laboratori d’Algorísmica Relacional, Complexitat i Aprenentatge, Universitat Politècnica de Catalunya, Barcelona,  

    José L. Balcázar

  2. Google, 1600 Amphitheatre Parkway, 94043, Mountain View, CA, USA

    Philip M. Long

  3. Department of Computer Science and Department of Mathematics, National University of Singapore, 117543, Singapore, Republic of Singapore

    Frank Stephan

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© 2006 Springer-Verlag Berlin Heidelberg

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Goble, C., Corcho, O., Alper, P., De Roure, D. (2006). e-Science and the Semantic Web: A Symbiotic Relationship. In: Balcázar, J.L., Long, P.M., Stephan, F. (eds) Algorithmic Learning Theory. ALT 2006. Lecture Notes in Computer Science(), vol 4264. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11894841_3

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  • DOI: https://doi.org/10.1007/11894841_3

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-46649-9

  • Online ISBN: 978-3-540-46650-5

  • eBook Packages: Computer ScienceComputer Science (R0)

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