Edinburgh Research Explorer

Mobile Widget Sharing by Mining Peer Groups

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Original languageEnglish
Title of host publicationProceedings of the First ESWC Workshop on Inductive Reasoning and Machine Learning on the Semantic Web
Number of pages12
Publication statusPublished - 2009

Abstract

Abstract. Developers have began to wrap desired functionalities into widgets based on Web 2.0 techniques on mobile devices. Demand for these light-weight Web applications is expected to grow rapidly in near future. Since a widgets can be recognized as a unit providing a specific service, from the perspective of choreography, this paper adapts widgets into a mobile Peer-to-Peer (P2P) environment and proposes a light weight group discovery approach to assist service discovery based on domain ontologies and semantic clustering. Latent Semantic Indexing (LSI) and Singular Value Decomposition (SVD) are employed and assist our approach in building up a Knowledge Base (KB) on each peer. This approach can prune the service search space and trigger the initial formation of peer communities. Its performance is also assessed via simulation results. A framework for porting widgets to different widget engines has been designed, making use of the above ontologies, and a basic widget transformation platform is implemented and tested in a case study.

ID: 3522160