Towards an Adaptive Tool and Method for Collaborative Ontology Mapping

Linked Data makes available a vast amount of data on the Semantic Web for agents, both human and software, to consume. Linked Data datasets are made available with different ontologies, even when their domains overlap. The interoperability problem that rises when one needs to consume and combine two or more of such datasets to develop a Linked Data application or mashup is still an important challenge. Ontology-matching techniques help overcome this problem. The process, however, often relies on knowledge engineers to carry out the tasks as they have expertise in ontologies and semantic technologies. It is reasonable to assume that knowledge engineers should require help from the domain experts, end users, etc. to contribute in the validation of the results and help distilling ontology mappings from these correspondences. However, the current design for the ontology-mapping tools does not take into consideration the different types of users expected to be involved in the creation of Li...

• Type: Journal
• Year: 2015
• Where: OTM
• Authors: Ramy Shosha, Christophe Debruyne, Declan O'Sullivan
• Keywords: Internet Technology, OTM 2015