Using Ontologies for Collaborative Information Management: Some Challenges and Ideas

Emerging collaborative networks (CNs) bring together the need for an effective collaborative information management (CIM) infrastructure. Achieving a common understanding of the concepts and entities in CNs, especially with the presence of different types of heterogeneity involved in such environments, represents a big challenge for the developers of the CIM infrastructure. This paper proposes some ontology-based solutions to this challenge in three different research domains. Among the described solutions, the first one addresses the challenges of data representation and implementation regarding the translation of semantic model into appropriate data structures, the second one suggests an ontology-based semi-automatic approach for the resolution of schematic and semantic heterogeneity, and the third one aims to assist scientists from different e-science domains when customizing their experimentation environments with user-defined experiments and data types.

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