Semantic web applications to e-science in silico experiments

Zhao, Jun and Goble, Carole and Stevens, Robert (2004) Semantic web applications to e-science in silico experiments. In: WWW Alt. '04 Proceedings of the 13th international World Wide Web conference on Alternate track papers & posters. ACM, New York, pp. 284-285. ISBN 1581139128

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Abstract

This paper explains our research and implementations of manual, automatic and deep annotations of provenance logs for e-Science insilico experiments. Compared to annotating general Web documents, annotations for scientific data require more sophisticated professional knowledge to recognize concepts from documents, and more complex text extraction and mapping mechanisms. A simple automatic annotation approach based on "lexicons" and a deep annotation implemented by semantically populating, translating and annotating provenance logs are introduced in this paper. We used COHSE (Conceptual Open Hypermedia Services Environment) to annotate and browse provenance logs from my Grid project, which are conceptually linked together as a hypertext Web of provenance logs and experiment resources, based on the associated conceptual metadata and reasoning over these metadata.

Item Type: Contribution in Book/Report/Proceedings
Departments: Faculty of Science and Technology > School of Computing & Communications
ID Code: 70493
Deposited By: ep_importer_pure
Deposited On: 21 Aug 2014 12:42
Refereed?: No
Published?: Published
Last Modified: 11 Jun 2019 01:29
URI: https://eprints.lancs.ac.uk/id/eprint/70493

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