Abstract
Ontologies are widely used for representing and sharing knowledge specific to some domain. The Web Ontology Language (OWL) is a popular language for designing ontologies and has been extended with the Semantic Web Rule Language (SWRL) to enable the use of rules in OWL ontologies. However, reasoning with SWRL rules is a computationally complex task, making its use difficult in time-sensitive applications. Such applications usually rely on decision tables, a popular yet simple structure used for fast decision making. Decision tables however are limited to propositional rules, making it impossible to represent SWRL rules using universally quantified variables. In this paper, a technique is proposed to enable reasoning with decision tables for SWRL rules and OWL ontologies by exploiting the classes of the variables and entities. Experimental results show that for many settings, our technique offers faster reasoning speed when compared to a state of the art SWRL reasoner.
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References
Baader, F., Sattler, U.: Tableau algorithms for description logics. In: Dyckhoff, R. (ed.) TABLEAUX 2000. LNCS (LNAI), vol. 1847, pp. 1–18. Springer, Heidelberg (2000). https://doi.org/10.1007/10722086_1
Bassiliades, N.: SWRL2SPIN: a tool for transforming SWRL rule bases in OWL ontologies to object-oriented SPIN rules. arXiv preprint arXiv:1801.09061 (2018)
Bechhofer, S., Horrocks, I.: Hoolet: an OWL reasoner with support for rules (2004). http://owl.man.ac.uk/hoolet
Browne, P.: JBoss Drools Business Rules. Packt Publishing Ltd, Birmingham (2009)
Ceri, S., Gottlob, G., Tanca, L.: What you always wanted to know about Datalog (and never dared to ask). IEEE Trans. Knowl. Data Eng. 1(1), 146–166 (1989)
Colomb, R.M., Chung, C.: Very fast decision table execution of propositional expert systems. In: Proceedings of the 8th National Conference on Artificial Intelligence, pp. 671–676 (1990)
Gene Ontology Consortium: Gene ontology consortium: going forward. Nucleic Acids Res. 43(D1), D1049–D1056 (2014)
Faruqui, R.U., MacCaull, W.: O\(_{wl}\)O\(_{nt}\)DB: a scalable reasoning system for OWL 2 RL ontologies with large ABoxes. In: Weber, J., Perseil, I. (eds.) FHIES 2012. LNCS, vol. 7789, pp. 105–123. Springer, Heidelberg (2013). https://doi.org/10.1007/978-3-642-39088-3_7
Grau, B.C., Horrocks, I., Motik, B., Parsia, B., Patel-Schneider, P., Sattler, U.: OWL 2: the next step for OWL. Web Semant. Sci. Serv. Agents World Wide Web 6(4), 309–322 (2008)
Hill, E.F.: Jess in Action: Java Rule-Based Systems. Manning Publications Co., Greenwich (2003)
Horridge, M., Bechhofer, S.: The OWL API: a Java API for OWL ontologies. Semant. Web 2(1), 11–21 (2011)
Horrocks, I., Patel-Schneider, P.F., Boley, H., Tabet, S., Grosof, B., Dean, M.: SWRL: a semantic web rule language combining OWL and RuleML. W3C Member Submission 21, 79 (2004)
Kang, Y.B., Pan, J.Z., Krishnaswamy, S., Sawangphol, W., Li, Y.F.: How long will it take? Accurate prediction of ontology reasoning performance. In: Proceedings of the 28th AAAI Conference on Artificial Intelligence, pp. 80–86 (2014)
Knublauch, H., Hendler, J.A., Idehen, K.: SPIN-overview and motivation. W3C Member Submission 22 (2011)
Krogel, M.-A., Rawles, S., Železný, F., Flach, P.A., Lavrač, N., Wrobel, S.: Comparative evaluation of approaches to propositionalization. In: Horváth, T., Yamamoto, A. (eds.) ILP 2003. LNCS (LNAI), vol. 2835, pp. 197–214. Springer, Heidelberg (2003). https://doi.org/10.1007/978-3-540-39917-9_14
Metzner, J.R., Barnes, B.H.: Decision Table Languages and Systems. Academic Press, Orlando (1977)
Middleton, S.E., Shadbolt, N.R., De Roure, D.C.: Ontological user profiling in recommender systems. ACM Trans. Inf. Syst. (TOIS) 22(1), 54–88 (2004)
Motik, B., et al.: OWL 2 web ontology language: structural specification and functional-style syntax. W3C Recommendation 27(65), 159 (2009)
Motik, B., Sattler, U., Studer, R.: Query answering for OWL-DL with rules. Web Semant. Sci. Serv. Agents World Wide Web 3(1), 41–60 (2005)
Musen, M.A.: The protégé project: a look back and a look forward. AI Matters 1(4), 4–12 (2015)
O’Connor, M.J., Shankar, R.D., Musen, M.A., Das, A.K., Nyulas, C.: The SWRLAPI: a development environment for working with SWRL rules. In: OWLED (2008)
Otero-Cerdeira, L., Rodríguez-Martínez, F.J., Gómez-Rodríguez, A.: Ontology matching: a literature review. Expert Syst. Appl. 42(2), 949–971 (2015)
O’Connor, M., Tu, S., Nyulas, C., Das, A., Musen, M.: Querying the semantic web with SWRL. In: Paschke, A., Biletskiy, Y. (eds.) RuleML 2007. LNCS, vol. 4824, pp. 155–159. Springer, Heidelberg (2007). https://doi.org/10.1007/978-3-540-75975-1_13
Ristoski, P., Paulheim, H.: A comparison of propositionalization strategies for creating features from linked open data. Linked Data Knowl. Discov. 6 (2014)
Shearer, R., Motik, B., Horrocks, I.: Hermit: a highly-efficient OWL reasoner. In: OWLED, vol. 432, p. 91 (2008)
Sirin, E., Parsia, B., Grau, B.C., Kalyanpur, A., Katz, Y.: Pellet: a practical OWL-DL reasoner. Web Semant. Sci. Serv. Agents World Wide Web 5(2), 51–53 (2007)
Staab, S., Studer, R.: Handbook on Ontologies. Springer, Heidelberg (2010)
Struharik, J.: Implementing decision trees in hardware. In: 2011 IEEE 9th International Symposium on Intelligent Systems and Informatics (SISY), pp. 41–46. IEEE (2011)
Ting, S., Wang, W.M., Kwok, S.K., Tsang, A.H., Lee, W.: Racer: rule-associated case-based reasoning for supporting general practitioners in prescription making. Expert Syst. Appl. 37(12), 8079–8089 (2010)
Zhao, L., Ichise, R., Liu, Z., Mita, S., Sasaki, Y.: Ontology-based driving decision making: a feasibility study at uncontrolled intersections. IEICE Trans. Inf. Syst. E100.D(7), 1425–1439 (2017). https://doi.org/10.1587/transinf.2016EDP7337
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This work was partially supported by the New Energy and Industrial Technology Development Organization (NEDO).
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Clement, M., Ichise, R. (2018). SWRL Reasoning Using Decision Tables. In: Faron Zucker, C., Ghidini, C., Napoli, A., Toussaint, Y. (eds) Knowledge Engineering and Knowledge Management. EKAW 2018. Lecture Notes in Computer Science(), vol 11313. Springer, Cham. https://doi.org/10.1007/978-3-030-03667-6_5
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