Generating and Summarizing Explanations for Linked Data

  • Rakebul Hasan
Part of the Lecture Notes in Computer Science book series (LNCS, volume 8465)

Abstract

Linked Data consumers may need explanations for debugging or understanding the reasoning behind producing the data. They may need the possibility to transform long explanations into more understandable short explanations. In this paper, we discuss an approach to explain reasoning over Linked Data. We introduce a vocabulary to describe explanation related metadata and we discuss how publishing these metadata as Linked Data enables explaining reasoning over Linked Data. Finally, we present an approach to summarize these explanations taking into account user specified explanation filtering criteria.

Keywords

#eswc2014Hasan explanation summarization Linked Data 

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References

  1. 1.
    RDF semantics. W3C recommendation (2004)Google Scholar
  2. 2.
    Alani, H., Harris, S., O’Neil, B.: Winnowing ontologies based on application use. In: Sure, Y., Domingue, J. (eds.) ESWC 2006. LNCS, vol. 4011, pp. 185–199. Springer, Heidelberg (2006)Google Scholar
  3. 3.
    Angele, J., Moench, E., Oppermann, H., Staab, S., Wenke, D.: Ontology-based query and answering in chemistry: Ontonova project halo. In: Fensel, D., Sycara, K., Mylopoulos, J. (eds.) ISWC 2003. LNCS, vol. 2870, pp. 913–928. Springer, Heidelberg (2003)CrossRefGoogle Scholar
  4. 4.
    Araújo, R., Pinto, H.S.: Towards semantics-based ontology similarity. In: Shvaiko, P., Euzenat, J., Giunchiglia, F., He, B. (eds.) Proceedings of the 2nd International Workshop on Ontology Matching (OM-2007) at ISWC-2007/ASWC-2007 (2007)Google Scholar
  5. 5.
    Berners-Lee, T.: Linked Data. W3C Design Issues (2006), http://www.w3.org/DesignIssues/LinkedData.html
  6. 6.
    Bizer, C.: Quality-Driven Information Filtering in the Context of Web-Based Information Systems. Ph.D. thesis, Freie Universität Berlin (2007)Google Scholar
  7. 7.
    Bonatti, P., Hogan, A., Polleres, A., Sauro, L.: Robust and scalable linked data reasoning incorporating provenance and trust annotations. Web Semantics: Science, Services and Agents on the World Wide Web 9(2), 165–201 (2011)CrossRefGoogle Scholar
  8. 8.
    Carroll, J.J., Bizer, C., Hayes, P., Stickler, P.: Named graphs, provenance and trust. In: Proceedings of the 14th International Conference on World Wide Web, WWW 2005, pp. 613–622. ACM, New York (2005)CrossRefGoogle Scholar
  9. 9.
    Corby, O., Dieng-Kuntz, R., Gandon, F., Faron-Zucker, C.: Searching the Semantic Web: approximate query processing based on ontologies. IEEE Intelligent Systems 21(1), 20–27 (2006)CrossRefGoogle Scholar
  10. 10.
    Eduard, H.: Text summarization. In: Mitkov, R. (ed.) The Oxford Handbook of Computational Linguistics. Oxford University Press (2005)Google Scholar
  11. 11.
    Forcher, B., Sintek, M., Roth-Berghofer, T., Dengel, A.: Explanation-aware system design of the semantic search engine koios. In: Proc. of the the 5th Int’l. Workshop on Explanation-Aware Computing (2010)Google Scholar
  12. 12.
    Hasan, R., Gandon, F.: A Brief Review of Explanation in the Semantic Web. In: Workshop on Explanation-aware Computing (ExaCt 2012), European Conference on Artificial Intelligence (ECAI 2012) (2012)Google Scholar
  13. 13.
    Heath, T., Bizer, C.: Linked Data: Evolving the Web into a Global Data Space, 1st edn. Morgan & Claypool (2011), http://linkeddatabook.com/
  14. 14.
    Horridge, M., Parsia, B., Sattler, U.: Laconic and precise justifications in OWL. In: Sheth, A.P., Staab, S., Dean, M., Paolucci, M., Maynard, D., Finin, T., Thirunarayan, K. (eds.) ISWC 2008. LNCS, vol. 5318, pp. 323–338. Springer, Heidelberg (2008)CrossRefGoogle Scholar
  15. 15.
    Järvelin, K., Kekäläinen, J.: Cumulated gain-based evaluation of IR techniques. ACM Trans. Inf. Syst. 20(4), 422–446 (2002)CrossRefGoogle Scholar
  16. 16.
    Kagal, L., Jacobi, I., Khandelwal, A.: Gasping for AIR – why we need linked rules and justifications on the semantic web. Tech. Rep. MIT-CSAIL-TR-2011-023, MIT (2011)Google Scholar
  17. 17.
    Kotowski, J., Bry, F.: A perfect match for reasoning, explanation and reason maintenance: OWL 2 RL and semantic wikis. In: Proc. of 5th Semantic Wiki Workshop (2010)Google Scholar
  18. 18.
    Li, N., Motta, E.: Evaluations of user-driven ontology summarization. In: Cimiano, P., Pinto, H.S. (eds.) EKAW 2010. LNCS, vol. 6317, pp. 544–553. Springer, Heidelberg (2010)CrossRefGoogle Scholar
  19. 19.
    McGuinness, D.L., da Silva, P.P.: Infrastructure for web explanations. In: Fensel, D., Sycara, K., Mylopoulos, J. (eds.) ISWC 2003. LNCS, vol. 2870, pp. 113–129. Springer, Heidelberg (2003)CrossRefGoogle Scholar
  20. 20.
    McGuinness, D., Furtado, V., Pinheiro da Silva, P., Ding, L., Glass, A., Chang, C.: Explaining semantic web applications. In: Semantic Web Engineering in the Knowledge Society (2008)Google Scholar
  21. 21.
    McGuinness, D., Pinheiro da Silva, P.: Explaining answers from the semantic web: the inference web approach. Web Semantics: Science, Services and Agents on the World Wide Web 1(4), 397–413 (2004)CrossRefGoogle Scholar
  22. 22.
    McSherry, F., Najork, M.: Computing information retrieval performance measures efficiently in the presence of tied scores. In: Macdonald, C., Ounis, I., Plachouras, V., Ruthven, I., White, R.W. (eds.) ECIR 2008. LNCS, vol. 4956, pp. 414–421. Springer, Heidelberg (2008)CrossRefGoogle Scholar
  23. 23.
    Peroni, S., Motta, E., d’Aquin, M.: Identifying key concepts in an ontology, through the integration of cognitive principles with statistical and topological measures. In: Domingue, J., Anutariya, C. (eds.) ASWC 2008. LNCS, vol. 5367, pp. 242–256. Springer, Heidelberg (2008)CrossRefGoogle Scholar
  24. 24.
    Pinheiro da Silva, P., McGuinness, D., Del Rio, N., Ding, L.: Inference web in action: Lightweight use of the proof markup language. In: Sheth, A.P., Staab, S., Dean, M., Paolucci, M., Maynard, D., Finin, T., Thirunarayan, K. (eds.) ISWC 2008. LNCS, vol. 5318, pp. 847–860. Springer, Heidelberg (2008)CrossRefGoogle Scholar
  25. 25.
    Pinheiro da Silva, P., McGuinness, D., Fikes, R.: A proof markup language for semantic web services. Information Systems 31(4-5), 381–395 (2006)CrossRefGoogle Scholar
  26. 26.
    Steinberger, J., Jezek, K.: Evaluation measures for text summarization. Computing and Informatics 28(2), 251–275 (2009)Google Scholar
  27. 27.
    Zhang, X., Cheng, G., Qu, Y.: Ontology summarization based on RDF sentence graph. In: Proceedings of the 16th International Conference on World Wide Web, WWW 2007, pp. 707–716. ACM, New York (2007)CrossRefGoogle Scholar

Copyright information

© Springer International Publishing Switzerland 2014

Authors and Affiliations

  • Rakebul Hasan
    • 1
  1. 1.INRIA Sophia AntipolisSophia-Antipolis CedexFrance

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