Skip to Content

Milan Stankovic

Sépage & Universite Paris-Sorbonne IV, Paris, France.
96bis boulevard Raspail, 75006 Paris



Bio Sketch

After Finishing his PhD at the University Paris-Sorbonne, France, Milan started his own company, Sépage, specialized in producing of Semantic Recommendation Engines. The company received very selecive grants by the French Republic, and enjoys the trust of major French companies who wish to aquire advanced Semantic Web technologies. He is a member of the GOOD OLD AI research network.


  • October 2009 - December 2012, PhD in Social Semantic Web, Université Paris-Sorbonne, France
  • September 2008 - October 2009, MSc in Computer Science, at Universite Paris-Sud XI OrsayFrance
  • October 2003 - December 2007,  B.S. in Software engineering and informatics,
    FON - School of Business Administration, University of Belgrade, Belgrade, Serbia supervised by prof. dr Vladan Devedzic. Obtained a GPA of 9.37 out of 10.0. University scholarship in third and fourth year for outstanding results.

Aditional Education

Research interests

  • Web Science
  • Usability (especially application of Artificial Intelligence to improvement of human-computer interaction)
  • Semantic Web

Recent publications

  • Stankovic, M. (2012) Convergence entre Web Social et Web Sémantique: Application à l'innovation à l'aide du Web. Thèse. Université Paris-Sorbonne. (in French)
  • Rowe, M., Stankovic, M.,and Alani, H. Who will follow whom? Exploiting Semantics for Link Prediction in Attention-Information Networks In Proceedings of International Semantic Web Conference ISWC 2012, Boston, USA, 11-15 November 2012 (22% acceptance rate)
  • Stankovic, M., Rowe, M. and Laublet, P. Finding Co-solvers on Twitter , with a Little Help from Linked Data. In Proceedings of Extended Semantic Web Conference ESWC 2012, May 27-31, Heraklion, Crete, Grece (25% acceptance rate)
  • Damljanovic, D., Stankovic, M. and Laublet, P. Linked Data-based Concept Recommendation : Comparison of Different Methods in Open Innovation Scenario. In Proceedings of Extended Semantic Web Conference ESWC 2012, May 27-31, Heraklion, Crete, Grece (25% acceptance rate)
  • Stankovic, M., Rowe, M., and Laublet, P. Mapping Tweets to Conference Talks: A Goldmine for Semantics. In Proceeding of the Third Social Data on the Web Workshop SDoW2010, collocated with the International Semantic Web Conference ISWC2010, 8th November, 2010, Shanghai, China pdf
  • Anaya, J., Passant, A. and Stankovic, M. Enrichment of affiliation networks and information discovery in SKOS-based datasets. 6th Workshop on Semantic Web Applications and Perspectives (SWAP 2010), September 21-22, 2010, in Bressanone , Italy
  • Stankovic, M., Open Innovation and Semantic Web : Problem Solver Search on Linked Data. In Proceedings of International Semantic Web Conference (ISWC) 2010; 7th-11th Novebmer, 2010, Shanghai, China
  • Stankovic, M., Wagner, C., Jovanovic, J. and Laublet, P., Looking For Experts? What can Linked Data do for You? In Pre-proceedings of Linked Data on the Web 2010 (LDOW) workshop, within WWW2010 conference; 26th-30th April, 2010, Raleigh, NC, USA
  • Passant, A., Breslin, J., Bojars, U., Hastrup, T., Stankovic, M. and Laublet, P. SMOB — A Platform for Open, Semantic and Distributed Microblogging. A poster at Fourth International AAAI Conference on Weblogs and Social Media (ICWSM 2010), 23rd-26th May 2010, Washington, DC, USA
  • Stankovic, M., Passant, A. and Laublet, P., Directing Status Messages to their Audiences in Online Communities. In Post-proceedings of Coordination, Organization, Institutions and Norms Workshop (COIN @ MELLOW). Accepted for publication by Springer LCNS. (forthcoming)


Recent projects

  • OP4L - Online Presence for Learning (2010-2012)

A 2-year international project, funded by the European Commission within its SEE-ERA.NET PLUS program (project ERA 115/01), with the objective to provide support for advanced, context-aware Learning Process Management (LPM) within Personal Learning Environments (PLEs) as the increasingly important paradigm in online education. The project relies on using Social Semantic Web technologies to generate recommendations for learners, based on their current learning contexts and the state of online presence of members of their social graphs (i.e., network of online connections).

  • Expert Finding on Linked Data

As a part of my PhD thesis I am working on good ways to search for experts on Linked Data. As opposed to legacy approaches that took only one expertise hypothesis (assumtpion about what does it take to be an expert), I try to levarage the flexibility and multiple purposes of Linked Data to allow a more sophisticated approach.

  • Smiley Ontology

People use emoticons every day as the easiest and most interesting way to express their emotions, actions and affective states. But the exchange of emoticons across different systems is limited. Smiley Ontology is an ontology that aims to enable interchange of emoticons between different systems, without any loose of its semantics, and to enable the capture of semantics of emotions and emotional states that can be found in smileys.

  • Online Presence

The project is aimed at enabling the integration and exchange of data related to a user’s presence in the online world. As opposed to static user profiles and the interoperability in that domain, well supported by the FOAF Vocabulary, the Online Presence project targets the interoperability of dynamic properties that determine a user’s current state of presence (e.g., custom messages, IM statuses etc.).