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This paper presents a novel approach to accessing information stored in legacy relational databases (RDB), based on Semantic Web (SW) and multiagent systems (MAS) technologies. Its purpose is to provide the users of enterprise decision-support systems with direct, flexible, and customized access to information, through high-level semantic queries, without the need to modify the underlying legacy databases...
The eCultura project aims to provide a complete set of services and applications to access and integrate diverse web-based contents of the cultural domain. Semantic web technologies have enabled sharing information such services, as well as providing interoperability within external applications. The goal is to extend over the web the knowledge base of cultural institutions, building user communities...
In this paper, we present a novel adaptive image classification method for content-based image classification systems based on user defined tags and annotations. The proposed method utilizes low-level features and folksonomies for improved classification accuracy. Thus, users' perceptive semantics are modeled in terms of low-level features and they are combined with low-level image categorization...
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