A RDF-Based Framework for User Profile Creation and Management

摘要

The semantic evolution of the Web has an heavy impact on traditional systems, as the ability to use a formal interoperable language simplifies information exchange between different systems. In order to foster information exchange and to easily connect new functionalities to semantic knowledge bases, in order to be able to use and reuse the valuable knowledge embedded in the existing systems, we designed a plugin-based framework, and used it to connect together different tools and systems developed in the LACAM laboratory. Our pilot project includes user profiling abilities coming from two components, namely Profile Extractor (PE) and Item Recommender (ITR), and storage capabilities implemented by a repository tool called RDFCore.