A user restrictions-based semantic matchmaking service for resource discovery

Most of the semantic matchmaking algorithms have been developed for the search of Web Services, since there is a huge need for tools that help taking advantages of services that already exist, but which most of the times are under exploited because their existence remains unknown; thus to promote their usage, matchmaking algorithms are build. However, similar types of solutions for resource discovery in organizations are quasi-inexistent mainly due to the difficulty that represents the management of all the resources available in organizations where human interaction and their implications must be considered. In this paper, we explore an approach to the search of shared resources in collaborative settings by profiting from several principles of the typical semantic matchmaking algorithms. The main contribution of our proposal is to consider people's collaborative context, preferences, and social relationships in order to evaluate their current restrictions when they make a request regarding shared resources. In this way, the users will receive a highly personalized match.