Web Intelligence Research Group

Research interests of our group are in development of modern web technologies and standards for more efficient information and services utilization on the web. Within this wide field, we focus on algorithms for web data mining and social network analysis, and design and implementation of modern applications based on new types of infrastructures and middleware technologies, web services, and cloud computing.


  • Information retrieval from web service networks
  • Linked Data and NLP
  • Personalization and recommendation of web services
  • Semantic web
  • Web analytics
  • Web services and social network analysis




DOJCHINOVSKI, M. and VITVAR, T.: Personalized Access to Linked Data, In: The 19th International Conference on Knowledge Engineering and Knowledge Management, Springer, 2014. Accepted for publication.
DOJCHINOVSKI, M. and KLIEGR, T.: Entityclassifier.eu: Real-time Classification of Entities in Text with Wikipedia. In Machine Learning and Knowledge Discovery in Databases, Springer, 2013, LNCS 8190, pp. 654-658. ISBN 978-3-642-40994-3.
KUCHAŘ, J. and KLIEGR, T.: GAIN: web service for user tracking and preference learning - a smart TV use case. In: RecSys '13 Proceedings of the 7th ACM conference on Recommender systems, ACM, 2013, pp. 467-468. ISBN 978-1-4503-2409-0.
DOJCHINOVSKI, M., KUCHAŘ, J., VITVAR, T., and ZAREMBA, M.: Personalised Graph-Based Selection of Web APIs. In: The Semantic Web -- ISWC 2012,  Springer, 2012, LNCS 7649, pp. 34-48. ISSN 0302-9743.

VITVAR, T., VINOSKI, S., and PAUTASSO, C.: Programmatic Interfaces for Web Applications. Internet Computing, IEEE, 2012, 16(4), 11-14.
ZAREMBA, M., VITVAR, T., BHIRI, S., and HAUSWIRTH, M.: Preference-Based Discovery of Dynamically Generated Service Offers. In: The 8th International Conference on Services Computing, IEEE, 2011, pp. 338-345. ISBN 978-1-4577-0863-3.
ZAREMBA, M., VITVAR, T., BHIRI, S., and HAUSWIRTH, M.: Service Offer Discovery Using Genetic Algorithms. In: 9th IEEE European Conference on Web Services,  IEEE, 2011, pp. 23-30. ISBN 978-1-4577-1532-7.
VITVAR, T., PERISTERAS, V., and TARABANIS, K., eds.: Semantic technologies for e-Government: an overview,  Springer, 2010. ISBN 3642035078.
VITVAR, T.,  KOPECKY, J.,  VISKOVA, J., MOCAN, A., KERRIGAN, M., and FENSEL, D.: Semantic Web Services with Lightweight Descriptions of Services, Advances in Computers, Volume 76, Elsevier, 2009.

Doc. Ing. Tomáš Vitvar, Ph.D.
e-mail: tomas.vitvar@fit.cvut.cz

Last modified: 22.1.2019, 15:34