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International Conference on Conceptual Modeling

ER 2014: Advances in Conceptual Modeling pp 253–262Cite as

Enterprise Linked Data: A Systematic Mapping Study

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Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 8823))

Abstract

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.

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References

  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. 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. 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. 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. 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. Thuraisingham, B.M.: Security issues for the semantic web. In: COMPSAC, pp. 632–637. IEEE Computer Society Press (2003)

    Google Scholar 

  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. Kitchenham, B.A.: Procedures for undertaking systematic reviews. Technical report, Computer Science Department, Keele University (2004)

    Google Scholar 

  9. Willer, M., Dunsire, G.: Bibliographic Information Organization in the Semantic Web. Elsevier (2013)

    Google Scholar 

  10. Parreiras, F.S.: Semantic Web and Model-Driven Engineering. Wiley-IEEE Press, Hoboken (2012)

    Google Scholar 

  11. Berners-Lee, T., Hendler, J., Lassila, O.: The semantic web. Scientific American 284(5), 34–43 (2001)

    Article  Google Scholar 

  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. Heath, T., Bizer, C.: Linked Data: Evolving the Web into a Global Data Space, 1st edn. Morgan & Claypool (2011)

    Google Scholar 

  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-Science

    Google Scholar 

  15. Allemang, D.: Semantic web and the linked data enterprise. In: Wood, D. (ed.) Linking Enterprise Data, pp. 3–23. Springer, US (2010)

    Chapter  Google Scholar 

  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)

    Chapter  Google Scholar 

  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)

    Article  Google Scholar 

  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 

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Author information

Authors and Affiliations

  1. LAIS – Laboratory of Advanced Information Systems, FUMEC University, Av. Afonso Pena, 3880, Belo Horizonte, 30130-009, Brazil

    Vitor Afonso Pinto & Fernando Silva Parreiras

Authors
  1. Vitor Afonso Pinto
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  2. Fernando Silva Parreiras
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Editor information

Editors and Affiliations

  1. UQ Business School, The University of Queensland, 4072, St Lucia, QLD, Australia

    Marta Indulska

  2. 316B Information Sciences and Technology Building, Penn State University, 16802, University Park, PA, USA

    Sandeep Purao

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© 2014 Springer International Publishing Switzerland

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Pinto, V.A., Parreiras, F.S. (2014). Enterprise Linked Data: A Systematic Mapping Study. In: Indulska, M., Purao, S. (eds) Advances in Conceptual Modeling. ER 2014. Lecture Notes in Computer Science, vol 8823. Springer, Cham. https://doi.org/10.1007/978-3-319-12256-4_27

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  • DOI: https://doi.org/10.1007/978-3-319-12256-4_27

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-12255-7

  • Online ISBN: 978-3-319-12256-4

  • eBook Packages: Computer ScienceComputer Science (R0)

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