In any scientific domain, the full set of data and programs has reached an -ome status, i.e. it has grown massively. In this scenario, we propose Resourceome, a Web-based and semantic Knowledge Management System which extends a previous multilevel ontology-based knowledge manager for the bioinformatic domain as follows: (i) enriching the knowledge model in such a way to describe resource knowledge contextualized in any domain (not only bioinformatics), as well as operational knowledge; (ii) implementing a Web-based application for visualizing, updating, querying and managing domain and operational knowledge models; (iii) adding a Web-based and semantic-driven workflow compiler.

Resourceome: a Multilevel Model and a Semantic Web Tool for Managing Domain and Operational Knowledge

CACCIAGRANO, Diletta Romana;CORRADINI, Flavio;MERELLI, Emanuela;VITO, Leonardo
2009-01-01

Abstract

In any scientific domain, the full set of data and programs has reached an -ome status, i.e. it has grown massively. In this scenario, we propose Resourceome, a Web-based and semantic Knowledge Management System which extends a previous multilevel ontology-based knowledge manager for the bioinformatic domain as follows: (i) enriching the knowledge model in such a way to describe resource knowledge contextualized in any domain (not only bioinformatics), as well as operational knowledge; (ii) implementing a Web-based application for visualizing, updating, querying and managing domain and operational knowledge models; (iii) adding a Web-based and semantic-driven workflow compiler.
2009
9781424450442
273
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11581/202335
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