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Knowledge Media Institute | ROBUST Logo

ROBUST

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Knowledge Management   Semantic Web and Knowledge Services   Social Software
ROBUST aims to analyze, manage and care for online communities to support their well being & to measure their created value.

Online communities have emerged in all areas of society, and their use is now widespread in social, business, scientific and public service domains. They enable the community members to collaborate through shared ideas, knowledge and opinion. Thus, online communities generate major economic value to business and can form pivotal parts of corporate expertise management, corporate marketing, product support, customer relationship management, product innovation and targeted advertising.

The objective of ROBUST is to analyze, manage and care for online communities, in order support their well being, to provide access to the created values and to exploit the knowledge and information contained within. This requires the development of metrics, models and algorithms in several fields.

ROBUST is a 3 year, €6.8M EU project with a consortium of 10 partners from 6 countries. ROBUST is led by the University of Koblenz-Landau, and involves the companies of IBM, SAP, Polecat, Temis, and SoftwareMind, as well as the academic institutions of OU KMi, University of Southampton, National University of Ireland, and the Technical University of Berlin.

Participant(s): Yulan He, Matthew Rowe, Sofia Angeletou, Gregoire Burel, Hassan Saif

Project Champion: Harith Alani
Further Information Email | Harith Alani


URL: http://robust-project.eu/


External Publications

Rowe, M., Fernandez, M., Angeletou, S. and Alani, H. (2012) Community Analysis through Semantic Rules and Role Composition Derivation, Journal of Web Semantics

Rowe, M., Fernandez, M., Alani, H., Ronen, I., Hayes, C. and Karnstedt, M. (2012) Behaviour analysis across different types of Enterprise Online Communities, Web Science Conference, Evanston, US

Wagner, C., Rowe, M., Strohmaier, M., , . and Alani, H. (2012) What catches your attention? An empirical study of attention patterns in community forums, International Conference on Weblogs and Social Media, Dublin, Ireland

Stankovic, M., Rowe, M. and Laublet, P. (2012) Finding Co-solvers on Twitter, with a Little Help from Linked Data, 9th Extended Semantic Web Conference, Heraklion, Crete

Saif, H., He, Y. and Alani, H. (2012) Alleviating Data Sparsity for Twitter Sentiment Analysis, Workshop: The 2nd Workshop on Making Sense of Microposts (#MSM2012): Big things come in small packages at World Wide Web (WWW) 2012, Lyon, France

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