Enterprise Linked Data: A Systematic Mapping Study

  • Vitor Afonso Pinto
  • Fernando Silva Parreiras
Part of the Lecture Notes in Computer Science book series (LNCS, volume 8823)


Over the past years we have witnessed the Web becoming an established channel for learning. Nowadays, hundreds of repositories are freely available on the Web aiming at sharing and reusing learning objects, but lacking in interoperability. In this paper, we present a comprehensive literature review on the state-of-the-art in the research field of Linked Enterprise Data. More precisely, this Systematic Literature Review intends to answer the following research question: What are the applications of Linked Data for Corporate Environments? Studies point out that there is a pattern regarding the frameworks used for implementing Semantic Web in enterprises. This pattern enables interlinking of both internal and external data sources.


Link Data Systematic Literature Review Knowledge Management System Corporate Environment External Data Source 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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  1. 1.
    Kawase, R., Fisichella, M., Niemann, K., Pitsilis, V., Vidalis, A., Holtkamp, P., Nunes, B.P.: Openscout: harvesting business and management learning objects from the web of data. In: Carr, L., Laender, A.H.F., Lóscio, B.F., King, I., Fontoura, M., Vrandecic, D., Aroyo, L., de Oliveira, J.P.M., Lima, F., Wilde, E. (eds.) WWW (Companion Volume), International World Wide Web Conferences Steering Committee / ACM, pp. 445–450 (2013)Google Scholar
  2. 2.
    Li, W.: Intelligent information agent with ontology on the semantic web. In: Proceedings of the 4th World Congress on Intelligent Control and Automation, vol. 2, pp. 1501–1504 (2002)Google Scholar
  3. 3.
    Costilla, C., Palacios, J.P., Rodríguez, M.J., Cremades, J., Calleja, A., Fernández, R., Vila, J.: Semantic web digital archive integration. In: DEXA Workshops, pp. 179–185. IEEE Computer Society (2004)Google Scholar
  4. 4.
    Li, J.: Building distributed index for semantic web data. In: Awan, I., Younas, M., Hara, T., Durresi, A. (eds.) AINA, pp. 660–667. IEEE Computer Society (2009)Google Scholar
  5. 5.
    Ha, Y., Lee, R.Y.: Integration of semantic web service and component-based development for e-business environment. In: SERA, pp. 315–323. IEEE Computer Society (2006)Google Scholar
  6. 6.
    Thuraisingham, B.M.: Security issues for the semantic web. In: COMPSAC, pp. 632–637. IEEE Computer Society Press (2003)Google Scholar
  7. 7.
    Westerski, A., Iglesias, C.A.: Exploiting structured linked data in enterprise knowledge management systems: An idea management case study. In: EDOCW, pp. 395–403. IEEE Computer Society Press (2011)Google Scholar
  8. 8.
    Kitchenham, B.A.: Procedures for undertaking systematic reviews. Technical report, Computer Science Department, Keele University (2004)Google Scholar
  9. 9.
    Willer, M., Dunsire, G.: Bibliographic Information Organization in the Semantic Web. Elsevier (2013)Google Scholar
  10. 10.
    Parreiras, F.S.: Semantic Web and Model-Driven Engineering. Wiley-IEEE Press, Hoboken (2012)Google Scholar
  11. 11.
    Berners-Lee, T., Hendler, J., Lassila, O.: The semantic web. Scientific American 284(5), 34–43 (2001)CrossRefGoogle Scholar
  12. 12.
    Galiotou, E., Fragkou, P.: Applying linked data technologies to greek open government data: A case study. Procedia - Social and Behavioral Sciences 73, 479–486 (2013); Proceedings of the 2nd International Conference on Integrated Information (IC-ININFO 2012), Budapest, Hungary, August 30-September 3 (2012)Google Scholar
  13. 13.
    Heath, T., Bizer, C.: Linked Data: Evolving the Web into a Global Data Space, 1st edn. Morgan & Claypool (2011)Google Scholar
  14. 14.
    Bechhofer, S., Buchan, I., De Roure, D., Missier, P., Ainsworth, J., Bhagat, J., Couch, P., Cruickshank, D., Delderfield, M., Dunlop, I., Gamble, M., Michaelides, D., Owen, S., Newman, D., Sufi, S., Goble, C.: Why linked data is not enough for scientists. Future Generation Computer Systems 29(2), 599 (2013); Special section: Recent advances in e-ScienceGoogle Scholar
  15. 15.
    Allemang, D.: Semantic web and the linked data enterprise. In: Wood, D. (ed.) Linking Enterprise Data, pp. 3–23. Springer, US (2010)CrossRefGoogle Scholar
  16. 16.
    Hu, B., Svensson, G.: A case study of linked enterprise data. In: Patel-Schneider, P.F., Pan, Y., Hitzler, P., Mika, P., Zhang, L., Pan, J.Z., Horrocks, I., Glimm, B. (eds.) ISWC 2010, Part II. LNCS, vol. 6497, pp. 129–144. Springer, Heidelberg (2010)CrossRefGoogle Scholar
  17. 17.
    Alani, H., Chandler, P., Hall, W., O’Hara, K., Shadbolt, N., Szomszor, M.: Building a pragmatic semantic web. IEEE Intelligent Systems 23(3), 61–68 (2008)CrossRefGoogle Scholar
  18. 18.
    Oren, E., Haller, A., Hauswirth, M., Heitmann, B., Decker, S., Mesnage, C.: A flexible integration framework for semantic web 2.0 applications 24, 64–71 (2007)Google Scholar

Copyright information

© Springer International Publishing Switzerland 2014

Authors and Affiliations

  • Vitor Afonso Pinto
    • 1
  • Fernando Silva Parreiras
    • 1
  1. 1.LAIS – Laboratory of Advanced Information SystemsFUMEC UniversityBelo HorizonteBrazil

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