An interoperation study, WellnessRules, is described, where rules about wellness opportunities are created by participants in rule languages such as Prolog and N3, and translated within a wellness community using RuleML/XML. The wellness rules are centered around participants, as profiles, encoding knowledge about their activities conditional on the season, the time-of-day, the weather, etc. Th...

Online social networking has become one of the most popular services on the Web. However, current social networks are like walled gardens in which users do not have full control over their data, are bound to specific usage terms of the social network operator and suffer from a lock-in effect due to the lack of interoperability and standards compliance between social networks. In this paper we p...

The integration of Linked Open Data (LOD) content in Web pages is a challenging and sometimes tedious task for Web developers. At the same moment, most software packages for blogs, content management systems (CMS), and shop applications support the consumption of feed formats, namely RSS and Atom. In this technical report, we demonstrate an on-line tool that fetches e-commerce data from a SPARQ...

A common task when publishing relational databases as RDF datasets is to automatically define a vocabulary using the schema data, called Database Schema Ontology (DSO). To automatically reuse terms from existing vocabularies, Ontology Matching (OM) algorithms are used to generate recommendations for the DSO vocabulary. However, when a relational database is partially published due to privacy re...

Social applications are one of the fastest growing areas in the Web. However, privacy issues ensue if all information of all users of these applications is stored on a single computer system. With small extensions to Semantic Web technologies and Linked Data concepts, a distributed approach to the social web is possible, where users retain fine-grained control over their data and are still able...

Social applications are one of the fastest growing areas in the Web. However, privacy issues ensue if all information of all users of these applications is stored on a single computer system. With small extensions to Semantic Web technologies and Linked Data concepts, a distributed approach to the social web is possible, where users retain fine-grained control over their data and are still able...

This paper presents our work and experience interlinking educational information across universities through the use of Linked Data principles and technologies. More specifically this paper is focused on selecting, extracting, structuring and interlinking information of video lectures produced by 27 different educational institutions. For this purpose, selected information from several websites...

Social networks play an important role in the Semantic Web. Several methods exist to extract social networks among people such as FOAF aggregation, email analysis, and Web mining. In this paper, we expand the existing techniques for social network mining from the Web and apply them to obtain a social network for different entities. Especially, two types of networks are investigated in this stud...

Group formation has always been a subject of interest in collaborative learning research. As it is concerned with assigning learners to the groups that maximize their benefits, computersupported group formation can be viewed in this context as an active personalization for the individual as an entity within the group. While applying this personalization to all students in the class can cause co...

VIVO, funded by NIH, utilizes Semantic Web technologies to model scientists and provides federated search to enhance the discovery of researchers and collaborators across disciplines and organizations. VIVO ontology is designed with the focus on modeling scientists, publications, resources, grants, locations, and services. It incorporates classes from popular ontologies, such as BIBO, Dublin Co...