A Middleware Infrastructure for Active Spaces
IEEE Pervasive Computing
A Graph-Oriented Model for Articulation of Ontology Interdependencies
EDBT '00 Proceedings of the 7th International Conference on Extending Database Technology: Advances in Database Technology
MAFRA - A MApping FRAmework for Distributed Ontologies
EKAW '02 Proceedings of the 13th International Conference on Knowledge Engineering and Knowledge Management. Ontologies and the Semantic Web
Ontology mapping: the state of the art
The Knowledge Engineering Review
An Event Service Supporting Autonomic Management of Ubiquitous Systems for e-Health
ICDCSW '06 Proceedings of the 26th IEEE International ConferenceWorkshops on Distributed Computing Systems
Towards Supporting Interactions between Self-Managed Cells
SASO '07 Proceedings of the First International Conference on Self-Adaptive and Self-Organizing Systems
AMUSE: autonomic management of ubiquitous e-Health systems
Concurrency and Computation: Practice & Experience - Selected Papers from the 2005 U.K. e-Science All Hands Meeting (AHM 2005)
Policy administration in tag-based authorization
FPS'12 Proceedings of the 5th international conference on Foundations and Practice of Security
Hi-index | 0.00 |
With the emergence of mobile and ubiquitous computing environments, there is a requirement to enable collaborative applications between these environments. As many of these applications have been designed to operate in isolation, making them work together is often complicated by the semantic and ontological differences in the meta-data describing the data to be shared. Typical approaches to overcoming ontological differences require the presence of a third party administrator, an approach incompatible with autonomous systems. This paper presents an approach to automatic ontology mapping suitable for deployment in autonomous, interacting systems for a class of collaborative application. The approach facilitates the collaboration of application-level data collections by identifying areas of ontological conflict and using meta-data values associated with those collections to establish commonality. A music sharing application has been developed to facilitate the sharing of music between peers.