The semantic social web or web 3.0 is the movement of integrating popular social web (web 2.0) applications with ideas from the semantic web. Techniques like semantic wiki systems, social tagging of weblogs and other web 2.0 applications as well as FOAF (Friend of a Friend) specifications are some of the results of this movement. Since metainformation acquired by such systems depends mostly on ...

The Linked Data and the Social Science data communities developed the DDI-RDF Discovery Vocabulary, an ontology of the Data Documentation Initiative, in order to support the discovery of person-level data and its metadata. The Data Documentation Initiative (DDI) is an acknowledged international standard for the documentation and management of data from the social, behavioral, and economic scien...

In this paper, we present a multi-agent system implementing a fully distributed Social Network System supporting user profiles as FOAF profiles. This system is built around the idea that users should be the sole owners of the information they provide (either consciously or unconsciously) and addresses privacy issues by design, also minimizing the amount of information users have to disclose in ...

Smartphones, which contain a large number of sensors and integrated devices, are becoming increasingly powerful and fully featured computing platforms in our pockets. For many people they already replace the computer as their window to the Internet, to the Web as well as to social networks. Hence, the management and presentation of information about contacts, social relationships and associated...

This paper describes an approach and an application for the Semantic integration of domain conceptualization in a socio-collaborative network platform. The platform,built based on the Drupal CMS framework, aims to offer SMEs possibilities to access specific knowledge by means of a collaborative community. A model to semantically express the socio-collaborative activities of the platform connect...

This position paper on expert finding presents a conceptual framework for the reuse and interlinking of existing, well-established vocabularies in the Semantic Web. Such a framework can be used to connect people with people, based on joint or complementing interests (e.g. the need to develop specific new or existing skills for upcoming projects). Driven by a requirement to find experts using th...

In this paper, we propose a Web mining approach for the Semantic Web. The approach uses a search engine and the traditional web as a source of information to produce semantically rich information. In particular, we assess one community and obtain the social network and related information from the Web. As an example, we extract the social network of an academic society and show that extracted i...

In the past the main source of reliable information were libraries. Nowadays, the Web is more and more assuming the role of a major information provider. But the move from the well organized libraries to unsupervised and unstructured Internet is causing serious problems. Although it should be possible to find almost anything on the Internet, very often one is unable to find the needle in the ha...

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...

To utilize the dramatically increasing Blog contents and widely accepted web 2.0 services, this research proposes myFOAF which extends FOAF to model dynamic social contexts over the web. Based on the richer social semantic, we can generate the blogger’s myFOAF profile, via the corresponding contents such as RSS, Blog content, tagging data, mashup service that retrieve from blogger’s daily web b...