A Framework Concept for Profiling Researchers on Twitter using the Web of Data

Selver Softic, Martin Ebner, Laurens De Vocht, Erik Mannens, Rik Van de Walle

2013

Abstract

Based upon findings and results from our recent research (De Vocht et al., 2011) we propose a generic framework concept for researcher profiling with appliance to the areas of ”Science 2.0” and ”Research 2.0”. Intensive growth of users in social networks, such as Twitter generated a vast amount of information. It has been shown in many previous works that social networks users produce valuable content for profiling and recommendations (Reinhardt et al., 2009; Java et al., 2007; De Vocht et al., 2011). Our research focuses on identifying and locating experts for specific research area or topic. In our approach we apply semantic technologies like (RDFb, SPARQLc), common vocabularies (SIOCd, FOAFe, MOATf, Tag Ontologyg) and Linked Datah (GeoNamesi, COLINDAj) (Berners-Lee, 2006; Bizer et al., 2012) .

Download


Paper Citation


in Harvard Style

Softic S., Ebner M., De Vocht L., Mannens E. and Van de Walle R. (2013). A Framework Concept for Profiling Researchers on Twitter using the Web of Data . In Proceedings of the 9th International Conference on Web Information Systems and Technologies - Volume 1: WEBIST, ISBN 978-989-8565-54-9, pages 447-452. DOI: 10.5220/0004369504470452

in Bibtex Style

@conference{webist13,
author={Selver Softic and Martin Ebner and Laurens De Vocht and Erik Mannens and Rik Van de Walle},
title={A Framework Concept for Profiling Researchers on Twitter using the Web of Data},
booktitle={Proceedings of the 9th International Conference on Web Information Systems and Technologies - Volume 1: WEBIST,},
year={2013},
pages={447-452},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004369504470452},
isbn={978-989-8565-54-9},
}


in EndNote Style

TY - CONF
JO - Proceedings of the 9th International Conference on Web Information Systems and Technologies - Volume 1: WEBIST,
TI - A Framework Concept for Profiling Researchers on Twitter using the Web of Data
SN - 978-989-8565-54-9
AU - Softic S.
AU - Ebner M.
AU - De Vocht L.
AU - Mannens E.
AU - Van de Walle R.
PY - 2013
SP - 447
EP - 452
DO - 10.5220/0004369504470452