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.
|Titolo:||Resourceome: a Multilevel Model and a Semantic Web Tool for Managing Domain and Operational Knowledge|
|Data di pubblicazione:||2009|
|Appare nelle tipologie:||Contributo in atto di convegno su volume|