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.
Chapter PDF
Similar content being viewed by others
References
RDF semantics. W3C recommendation (2004)
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)
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)
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)
Berners-Lee, T.: Linked Data. W3C Design Issues (2006), http://www.w3.org/DesignIssues/LinkedData.html
Bizer, C.: Quality-Driven Information Filtering in the Context of Web-Based Information Systems. Ph.D. thesis, Freie Universität Berlin (2007)
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)
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)
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)
Eduard, H.: Text summarization. In: Mitkov, R. (ed.) The Oxford Handbook of Computational Linguistics. Oxford University Press (2005)
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)
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)
Heath, T., Bizer, C.: Linked Data: Evolving the Web into a Global Data Space, 1st edn. Morgan & Claypool (2011), http://linkeddatabook.com/
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)
Järvelin, K., Kekäläinen, J.: Cumulated gain-based evaluation of IR techniques. ACM Trans. Inf. Syst. 20(4), 422–446 (2002)
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)
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)
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)
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)
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)
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)
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)
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)
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)
Pinheiro da Silva, P., McGuinness, D., Fikes, R.: A proof markup language for semantic web services. Information Systems 31(4-5), 381–395 (2006)
Steinberger, J., Jezek, K.: Evaluation measures for text summarization. Computing and Informatics 28(2), 251–275 (2009)
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)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2014 Springer International Publishing Switzerland
About this paper
Cite this paper
Hasan, R. (2014). Generating and Summarizing Explanations for Linked Data. In: Presutti, V., d’Amato, C., Gandon, F., d’Aquin, M., Staab, S., Tordai, A. (eds) The Semantic Web: Trends and Challenges. ESWC 2014. Lecture Notes in Computer Science, vol 8465. Springer, Cham. https://doi.org/10.1007/978-3-319-07443-6_32
Download citation
DOI: https://doi.org/10.1007/978-3-319-07443-6_32
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-07442-9
Online ISBN: 978-3-319-07443-6
eBook Packages: Computer ScienceComputer Science (R0)