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The Linked Data Wiki: Leveraging Organizational Knowledge Bases with Linked Open Data

  • Matthias T. FrankEmail author
  • Stefan Zander
Conference paper
Part of the Communications in Computer and Information Science book series (CCIS, volume 976)

Abstract

Building meaningful knowledge bases for organizations like enterprises, NGOs or civil services is still a labor intensive and therefore expensive work, although semantic wiki approaches are already adopted in organizational contexts and corporate environments. One reason is that exploiting knowledge from external sources like other organizational knowledge bases or Linked Open Data as well as sharing knowledge in a meaningful way is difficult due to the lack of a common and shared schema definition. Therefore, redundant work has to be carried out for each new context. To overcome this issue, we introduce Linked Data Wiki, an approach that combines the power of Linked Open Vocabularies and -Data with established organizational semantic wiki systems for knowledge management in order to leverage the knowledge represented in organizational knowledge bases with Linked Open Data. Our approach includes a recommendation system to link concepts of an organizational context to openly published concepts and extract statements from that concepts that leverage the concept definition within the organizational context. The inclusion of potentially uncertain, incomplete, inconsistent or redundant public statements within an organization’s knowledge base poses the challenge of interpreting such data correctly within the respective context.

References

  1. 1.
    Frank, M., Zander, S.: Linked open data for organizational knowledge bases: towards a linked data Wiki. In: Bleimann, U., Humm, B., Loew, R., Regier, S., Stengel, I., Walsh, P. (eds.) Collaborative European Research Conference, pp. 50–57 (2017)Google Scholar
  2. 2.
    Frank, M., Zander, S.: Exploiting linked open data for enhancing MediaWiki-based semantic organizational knowledge bases. In: SciTePress (ed.) KEOD (2017)Google Scholar
  3. 3.
    Ogden, C.K., Richards, I.A.: The Meaning of Meaning: A Study of the Influence of Language upon Thought and of the Science of Symbolism. 10th edn, 4th impr. edn. International Library of Psychology, Philosophy and Scientific Method. Routledge and Kegan Paul, London (1956)Google Scholar
  4. 4.
    Ghidini, C., et al.: Collaborative knowledge engineering via semantic MediaWiki. In: Auer, S., Schaffert, S., Pellegrini, T. (eds.) International Conference on Semantic Systems (I-SEMANTICS 2008), Graz, Austria, pp. 134–141 (2008)Google Scholar
  5. 5.
    Kleiner, F., Abecker, A.: Semantic MediaWiki as an integration platform for IT service management. LNI 176, 73–78 (2010)Google Scholar
  6. 6.
    Aveiro, D., Pinto, D.: Implementing organizational self awareness - a semantic MediaWiki based enterprise ontology management approach, pp. 453–461 (2013)Google Scholar
  7. 7.
    Krötzsch, M., Vrandečić, D., Völkel, M.: Semantic MediaWiki. In: Cruz, I., et al. (eds.) ISWC 2006. LNCS, vol. 4273, pp. 935–942. Springer, Heidelberg (2006).  https://doi.org/10.1007/11926078_68CrossRefGoogle Scholar
  8. 8.
    W3C: Semantic web stack (2007)Google Scholar
  9. 9.
    Klyne, G., Carroll, J.J.: Resource description framework (RDF): concepts and abstract syntax: W3C recommendation, 10 February 2004 (2004)Google Scholar
  10. 10.
    Brickley, D., Guha, R.V.: RDF vocabulary description language 1.0: RDF schema (2004)Google Scholar
  11. 11.
    Vrandecic, D., Krötzsch, M.: Reusing ontological background knowledge in semantic wikis. CEUR Workshop Proceedings, vol. 206 (2006)Google Scholar
  12. 12.
    Zander, S., Swertz, C., Verdú, E., Pérez, M.J.V., Henning, P.: A semantic MediaWiki-based approach for the collaborative development of pedagogically meaningful learning content annotations. In: Molli, P., Breslin, J.G., Vidal, M.-E. (eds.) SWCS 2013-2014. LNCS, vol. 9507, pp. 73–111. Springer, Cham (2016).  https://doi.org/10.1007/978-3-319-32667-2_5CrossRefGoogle Scholar
  13. 13.
    Hebeler, J.: Semantic Web programming. Wiley, Indianapolis (2009)Google Scholar
  14. 14.
    Berners-Lee, T.: Giant global graph (2007)Google Scholar
  15. 15.
    Berners-Lee, T.: Linked-data design issues (2009)Google Scholar
  16. 16.
    Bizer, C., Heath, T., Berners-Lee, T.: Linked data - the story so far. Int. J. Semant. Web Inf. Syst. 5, 1–22 (2009)Google Scholar
  17. 17.
    Hausenblas, M.: Exploiting linked data to build web applications. IEEE Internet Comput. 13, 68–73 (2009)CrossRefGoogle Scholar
  18. 18.
    Heath, T., Bizer, C.: Linked Data: Evolving the Web into a Global Data Space. Synthesis Lectures on the Semantic Web. Morgan & Claypool Publishers, San Rafael (2011)Google Scholar
  19. 19.
    Abele, A., McCrae, J.P., Buitelaar, P., Jentzsch, A., Cyganiak, R.: Linking open data cloud diagram (2017)Google Scholar
  20. 20.
    Janowicz, K., Hitzler, P., Adams, B., Kolas, D., Vardeman, C.: Five stars of linked data vocabulary use. Semant. Web 5, 173–176 (2014)Google Scholar
  21. 21.
    Baader, F., Calvanese, D., McGuinness, D., Nardi, D., Patel-Schneider, P.: The Description Logic Handbook: Theory, Implementation and Applications. Cambridge University Press, Cambridge (2003)zbMATHGoogle Scholar
  22. 22.
    Koren, Y.: Cargo and the future of semantic MediaWiki. In: SMWCon Spring 2015. St. Louis, MO, USA (2015)Google Scholar
  23. 23.
    Auer, S., Jungmann, B., Schönefeld, F.: Semantic Wiki representations for building an enterprise knowledge base. In: Antoniou, G., et al. (eds.) Reasoning Web 2007. LNCS, vol. 4636, pp. 330–333. Springer, Heidelberg (2007).  https://doi.org/10.1007/978-3-540-74615-7_7CrossRefGoogle Scholar
  24. 24.
    Frischmuth, P., Martin, M., Tramp, S., Riechert, T., Auer, S.: OntoWiki - an authoring, publication and visualization interface for the data web. Semant. Web 6, 215–240 (2015)Google Scholar
  25. 25.
    Vrandecic, D., Krötzsch, M.: Wikidata: a free collaborative knowledgebase. Commun. ACM 57, 78–85 (2014)CrossRefGoogle Scholar
  26. 26.
    Auer, S., Herre, H.: A versioning and evolution framework for RDF knowledge bases. In: Virbitskaite, I., Voronkov, A. (eds.) PSI 2006. LNCS, vol. 4378, pp. 55–69. Springer, Heidelberg (2007).  https://doi.org/10.1007/978-3-540-70881-0_8CrossRefGoogle Scholar
  27. 27.
    Auer, S.: Creating knowledge out of interlinked data: making the web a data washing machine (2011)Google Scholar
  28. 28.
    Khalili, A., Auer, S.: WYSIWYM authoring of structured content based on Schema.org. In: Lin, X., Manolopoulos, Y., Srivastava, D., Huang, G. (eds.) WISE 2013. LNCS, vol. 8181, pp. 425–438. Springer, Heidelberg (2013).  https://doi.org/10.1007/978-3-642-41154-0_32CrossRefGoogle Scholar
  29. 29.
    Acosta, M., Zaveri, A., Simperl, E., Kontokostas, D., Auer, S., Lehmann, J.: Crowdsourcing linked data quality assessment. In: Alani, H., et al. (eds.) ISWC 2013. LNCS, vol. 8219, pp. 260–276. Springer, Heidelberg (2013).  https://doi.org/10.1007/978-3-642-41338-4_17CrossRefGoogle Scholar
  30. 30.
    Ismayilov, A., Kontokostas, D., Auer, S., Lehmann, J., Hellmann, S.: Wikidata through the eyes of DBPedia. CoRR abs/1507.04180 (2015)Google Scholar
  31. 31.
    Rautenberg, S., Ermilov, I., Marx, E., Auer, S., Ngomo, A.C.N.: LodFlow: a workflow management system for linked data processing semantics 2015, Vienna, Austria, 15–17 September 2015. In: Polleres, A., Pellegrini, T., Hellmann, S., Parreira, J.X. (eds.) Proceedings of the 11th International Conference on Semantic Systems, SEMANTICS 2015, Vienna, Austria, 15–17 September 2015, pp. 137–144. ACM (2015)Google Scholar
  32. 32.
    Frank, M., Zander, S.: Pushing the CIDOC-conceptual reference model towards LOD by open annotations. In: Oberweis, A., Reussner, R.H. (eds.) Modellierung 2016, 2–4 März 2016, Karlsruhe. LNI, GI, pp. 13–28 (2016)Google Scholar
  33. 33.
    Fafalios, P., Baritakis, M., Tzitzikas, Y.: Exploiting linked data for open and configurable named entity extraction. Int. J. Artif. Intell. Tools 24, 1540012 (2015)CrossRefGoogle Scholar
  34. 34.
    Thalhammer, A., Lasierra, N., Rettinger, A.: LinkSUM: using link analysis to summarize entity data. In: Bozzon, A., Cudre-Maroux, P., Pautasso, C. (eds.) ICWE 2016. LNCS, vol. 9671, pp. 244–261. Springer, Cham (2016).  https://doi.org/10.1007/978-3-319-38791-8_14CrossRefGoogle Scholar

Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  1. 1.FZI Research Center for Information TechnologyKarlsruheGermany
  2. 2.Fachbereich Informatik, Hochschule DarmstadtDarmstadtGermany

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