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Profiles in Professional Social Networks

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Abstract

This paper discusses user profiles as an important component of online social networks (OSN). A special category of OSN includes professional social networks, where so-called professional profiles are significant. They enable to connect not only people but also projects to people, courses to students, etc. A powerful tool for representing profiles is ontologies, particularly various classification hierarchies. A contribution of this paper is a matching framework able to consider profiles, whose some features are described by concepts from classification hierarchies. Moreover, users can assign weights to these concepts and influence an associated similarity measure. We discuss the notions of similarity and compatibility of such profiles and show some new possibilities how to tackle the matching problem.

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References

  1. ACM computing classification system. http://www.acm.org/about/class. Accessed 14 Apr, 2012

  2. Afzal MT, Latif A, Saeed AU, Sturm P, Aslam S, Andrews K, Tochtermann K, Maurer H (2009) Discovery and visualization of expertise in a scientific community. In: Proc. of FIT’09, CIIT, Abbottabad, Pakistan, 16–18 Dec 2009, pp.43

    Google Scholar 

  3. Bhattacharyya P, Garg A, Wu SF (2011) Analysis of user keyword similarity in online social networks. Social Netw Analys Mining 1(3):143–158. doi:10.1007/s13278-010-0006-4

    Article  Google Scholar 

  4. Feather M, Menzies T, Connelly J (2003) Matching software practitioner needs to researcher activities. In: Proc. of the 10th Asia-Pacific software engineering conference (APSEC’03), IEEE, Chiang Mai, Tahiland, 6–16

    Google Scholar 

  5. Gruber T (1993) A translation approach to portable ontology specifications. Knowl Acquis 5:199–220. doi:10.1006/knac.1993.1008

    Article  Google Scholar 

  6. Kubalík J, Matoušek K, Doležal J, Nečaský M (2011) Analysis of portal for social network of IT professionals. J Syst Integr 2(1):21–28

    Google Scholar 

  7. Katifori A, Halatsis C, Lepouras G, Vassilakis C, Giannopoulou E (2007) Ontology visualization methods – a survey. ACM Computing Surveys 39(4):10.1–10.42, 10.1145/1287620.1287621

    Article  Google Scholar 

  8. Mirkin B, Nascimento S, Pereira LM (2007) ACM classification can be used for representing research organizations. DIMACS technical report 2007–13

    Google Scholar 

  9. Pais MR, Morgadob C, Cunha JC (2011) Implicit groups in web-based interactive applications. In: Proc. of the 3rd int. conf. on computational aspects of social networks (CASoN). Salamanca, Spain, 175–180

    Google Scholar 

  10. Pallis G, Zeinalipour-Yazti D, Dikaiakos MD (2011) Online social networks: status and trends. In New Directions in Web Data Management 1 (pp. 213–234). Springer Berlin Heidelberg

    Google Scholar 

  11. Raad E, Chbeir R, Dipanda A (2010) User profile matching in social networks. In: Network-Based Information Systems (NBiS), 13th International Conference on (pp. 297–304). IEEE

    Google Scholar 

  12. Shoval P, Maidel V, Shapira B (2008) An ontology – content-based filtering method. Int J Inform Theor Appl 15(4):303–314

    Google Scholar 

  13. Thiagarajan R, Manjunath G, Stumptner M (2008) Finding experts by semantic matching of user profiles. In: Proc. of the 3rd expert finder workshop on personal identification and collaborations: knowledge mediation and extraction (PICKME 2008). Karlsruhe, Germany, pp 7–18

    Google Scholar 

  14. Vojtáš P, Pokorný J, Nečaský M, Skopal T, Matoušek K, Kubalík J, Novotný O, Maryška M (2011) SoSIReČR – IT professional social network. In: Proc. of the 3rd int. conf. on computational aspects of social networks (CASoN), 108–113

    Google Scholar 

  15. Wang T, Desai BC (2007) Document classification with ACM subject hierarchy. In: Proc. electrical and computer engineering, CCECE, 792–795

    Google Scholar 

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Acknowledgments

This research has been supported by the grant GACR No. P202/10/0761.

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Correspondence to Jaroslav Pokorný .

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Pokorný, J. (2013). Profiles in Professional Social Networks. In: Linger, H., Fisher, J., Barnden, A., Barry, C., Lang, M., Schneider, C. (eds) Building Sustainable Information Systems. Springer, Boston, MA. https://doi.org/10.1007/978-1-4614-7540-8_30

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  • DOI: https://doi.org/10.1007/978-1-4614-7540-8_30

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  • Publisher Name: Springer, Boston, MA

  • Print ISBN: 978-1-4614-7539-2

  • Online ISBN: 978-1-4614-7540-8

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