An Approach for Measuring Semantic Similarity between Words Using Multiple Information Sources
IEEE Transactions on Knowledge and Data Engineering
Propagation of Opinions in Structural Graphs
Proceedings of the 2010 conference on ECAI 2010: 19th European Conference on Artificial Intelligence
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When people need help with day-to-day tasks they turn to family, friends or neighbours to help them out. Despite an increasingly networked world, technology falls short in supporting such daily tasks. u-Help provides a platform for building a community of helpful people and supports them in finding volunteers for day-to-day tasks. It relies on three techniques that allow a requester and volunteer to find one another easily, and build up a community around such provision of services. First, we use an ontology to distinguish between the various tasks that u-Help allows people to provide. Second, a computational trust model is used to aggregate feedback from community members and allows people to discover who are good or bad at performing the various tasks. Last, a flooding algorithm quickly disseminates requests for help through the community.