A user-centric classification of tools for biological resource discovery and integration on the web

Rida Bazzi; Jeffrey M. Kiefer; Zoé Lacroix

doi:10.1007/978-3-642-27392-6_6

A user-centric classification of tools for biological resource discovery and integration on the web

Rida Bazzi, Jeffrey M. Kiefer, Zoé Lacroix

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

The need to use resource discovery and composition tools to assist in the development of scientific workflows is well established. While systems have been developed to guide scientists in the design and implementation of their protocols into executable workflows, these systems differ significantly in the way they support the various steps of resource discovery. This paper proposes a classification of resource exploration and discovery tools according to five main categories: content, graphical interface, maintenance, optimization, and query. The paper overviews six resource discovery approaches and evaluates them according to the proposed classification. An example of how the metrics can be used in the selection of an appropriate tool for given requirements is presented.

Original language	English (US)
Title of host publication	Resource Discovery - Third International Workshop, RED 2010, Revised Selected Papers
Pages	71-87
Number of pages	17
DOIs	https://doi.org/10.1007/978-3-642-27392-6_6
State	Published - Jan 27 2012
Event	3rd International Workshop on Resource Discovery, RED 2010 - Paris, France Duration: Nov 5 2010 → Nov 5 2010

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	6799 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Other

Other	3rd International Workshop on Resource Discovery, RED 2010
Country/Territory	France
City	Paris
Period	11/5/10 → 11/5/10

ASJC Scopus subject areas

Theoretical Computer Science
General Computer Science

Access to Document

10.1007/978-3-642-27392-6_6

Cite this

Bazzi, R., Kiefer, J. M., & Lacroix, Z. (2012). A user-centric classification of tools for biological resource discovery and integration on the web. In Resource Discovery - Third International Workshop, RED 2010, Revised Selected Papers (pp. 71-87). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 6799 LNCS). https://doi.org/10.1007/978-3-642-27392-6_6

A user-centric classification of tools for biological resource discovery and integration on the web. / Bazzi, Rida; Kiefer, Jeffrey M.; Lacroix, Zoé.
Resource Discovery - Third International Workshop, RED 2010, Revised Selected Papers. 2012. p. 71-87 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 6799 LNCS).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Bazzi, R, Kiefer, JM & Lacroix, Z 2012, A user-centric classification of tools for biological resource discovery and integration on the web. in Resource Discovery - Third International Workshop, RED 2010, Revised Selected Papers. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 6799 LNCS, pp. 71-87, 3rd International Workshop on Resource Discovery, RED 2010, Paris, France, 11/5/10. https://doi.org/10.1007/978-3-642-27392-6_6

Bazzi R, Kiefer JM, Lacroix Z. A user-centric classification of tools for biological resource discovery and integration on the web. In Resource Discovery - Third International Workshop, RED 2010, Revised Selected Papers. 2012. p. 71-87. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-642-27392-6_6

Bazzi, Rida ; Kiefer, Jeffrey M. ; Lacroix, Zoé. / A user-centric classification of tools for biological resource discovery and integration on the web. Resource Discovery - Third International Workshop, RED 2010, Revised Selected Papers. 2012. pp. 71-87 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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A user-centric classification of tools for biological resource discovery and integration on the web

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