Mining Cardinality Restrictions in OWL

[1] Aad G. et al. Combined measurement of the higgs boson mass in pp collisions at s\sqrt s = 7 and 8 tev with the atlas and cms experiments. Phys. Rev. Lett., 114:191803, May 2015. The paper has 5, 154 authors.Search in Google Scholar

[2] Aitchison J. and Aitken C. G. G. Multivariate binary discrimination by the kernel method. Biometrika, 63(3):413–420, 12 1976.10.1093/biomet/63.3.413Search in Google Scholar

[3] Bühmann L., Lehmann J., and Westphal P. Dl-learner - A framework for inductive learning on the semantic web. J. Web Semant., 39:15–24, 2016.10.1016/j.websem.2016.06.001Search in Google Scholar

[4] Dubielewicz I., Hnatkowska B., Huzar Z., and Tuzinkiewicz L. Domain modeling in the context of ontology. Foundations of Computing and Decision Sciences, 40(1):3–15, Mar. 2015.10.1515/fcds-2015-0001Search in Google Scholar

[5] Ell B., Hakimov S., and Cimiano P. Statistical induction of coupled domain/range restrictions from RDF knowledge bases. In van Erp M., Hell-mann S., McCrae J. P., Chiarcos C., Choi K., Gracia J., Hayashi Y., Koide S., Mendes P. N., Paulheim H., and Takeda H., editors, Knowledge Graphs and Language Technology - ISWC 2016 International Workshops: KEKI and NLP&DBpedia, Kobe, Japan, October 17-21, 2016, Revised Selected Papers, volume 10579 of Lecture Notes in Computer Science, pages 27–40. Springer, 2016.Search in Google Scholar

[6] Fanizzi N., d’Amato C., and Esposito F. DL-FOIL concept learning in description logics. In Zelezný F. and Lavrac N., editors, Inductive Logic Programming, 18th International Conference, ILP 2008, Prague, Czech Republic, September 10-12, 2008, Proceedings, volume 5194 of Lecture Notes in Computer Science, pages 107–121. Springer, 2008.10.1007/978-3-540-85928-4_12Search in Google Scholar

[7] Fleischhacker D., Völker J., and Stuckenschmidt H. Mining RDF data for property axioms. In Meersman R., Panetto H., Dillon T. S., Rinderle-Ma S., Dadam P., Zhou X., Pearson S., Ferscha A., Bergamaschi S., and Cruz I. F., editors, On the Move to Meaningful Internet Systems: OTM 2012, Confederated International Conferences: CoopIS, DOA-SVI, and ODBASE 2012, Rome, Italy, September 10-14, 2012. Proceedings, Part II, volume 7566 of Lecture Notes in Computer Science, pages 718–735. Springer, 2012.Search in Google Scholar

[8] Galárraga L., Teflioudi C., Hose K., and Suchanek F. M. Fast rule mining in ontological knowledge bases with AMIE+. VLDB J., 24(6):707–730, 2015.10.1007/s00778-015-0394-1Search in Google Scholar

[9] Hayes P. and Patel-Schneider P. RDF 1.1 semantics. W3C recommendation, W3C, Feb. 2014. http://www.w3.org/TR/2014/REC-rdf11-mt-20140225/.Search in Google Scholar

[10] Hnatkowska B. and Woroniecki P. Universal framework for OWL2 ontology transformations. Foundations of Computing and Decision Sciences, 43(4):375–393, Dec. 2018.10.1515/fcds-2018-0019Search in Google Scholar

[11] Holm S. A simple sequentially rejective multiple test procedure. Scandinavian Journal of Statistics, 6(2):65–70, 1979.Search in Google Scholar

[12] Horridge M. and Patel-Schneider P. OWL 2 web ontology language manchester syntax (second edition). W3C note, W3C, Dec. 2012.Search in Google Scholar

[13] Horrocks I., Patel-Schneider P. F., Boley H., Tabet S., Grosof B., and Dean M. Swrl: A semantic web rule language combining owl and ruleml. Technical report, W3C, 2004. W3C Member Submission 21 May 2004, http://www.w3.org/Submission/2004/SUBM-SWRL-20040521/.Search in Google Scholar

[14] Ju G., Li R., and Liang Z. Nonparametric estimation of multivariate CDF with categorical and continuous data. In Advances in Econometrics, pages 291–318. Emerald Group Publishing Limited, Jan. 2009.10.1108/S0731-9053(2009)0000025012Search in Google Scholar

[15] Lawrynowicz A. and Potoniec J. Pattern based feature construction in semantic data mining. Int. J. Semantic Web Inf. Syst., 10(1):27–65, 2014.10.4018/ijswis.2014010102Search in Google Scholar

[16] Lehmann J. Dl-learner: Learning concepts in description logics. J. Mach. Learn. Res., 10:2639–2642, 2009.Search in Google Scholar

[17] Lehmann J., Isele R., Jakob M., Jentzsch A., Kontokostas D., Mendes P. N., Hellmann S., Morsey M., van Kleef P., Auer S., and Bizer C. Dbpedia - A large-scale, multilingual knowledge base extracted from wikipedia. Semantic Web, 6(2):167–195, 2015.10.3233/SW-140134Search in Google Scholar

[18] Li H. and Sima Q. Parallel mining of OWL 2 EL ontology from large linked datasets. Knowl. Based Syst., 84:10–17, 2015.10.1016/j.knosys.2015.03.023Search in Google Scholar

[19] Li Q. and Racine J. Nonparametric estimation of distributions with categorical and continuous data. Journal of Multivariate Analysis, 86(2):266 – 292, 2003.10.1016/S0047-259X(02)00025-8Search in Google Scholar

[20] Motik B., Grau B. C., and Patel-Schneider P. OWL 2 web ontology language direct semantics (second edition). W3C recommendation, W3C, Dec. 2012. http://www.w3.org/TR/2012/REC-owl2-direct-semantics-20121211/.Search in Google Scholar

[21] Motik B. and Patel-Schneider P. OWL 2 web ontology language mapping to RDF graphs (second edition). W3C recommendation, W3C, Dec. 2012. http://www.w3.org/TR/2012/REC-owl2-mapping-to-rdf-20121211/.Search in Google Scholar

[22] Muñoz E. and Nickles M. Mining cardinalities from knowledge bases. In Bensli-mane D., Damiani E., Grosky W. I., Hameurlain A., Sheth A. P., and Wagner R. R., editors, Database and Expert Systems Applications - 28th International Conference, DEXA 2017, Lyon, France, August 28-31, 2017, Proceedings, Part I, volume 10438 of Lecture Notes in Computer Science, pages 447–462. Springer, 2017.Search in Google Scholar

[23] Pan J. Z., Ren Y., and Zhao Y. Tractable approximate deduction for OWL. Artif. Intell., 235:95–155, 2016.10.1016/j.artint.2015.10.004Search in Google Scholar

[24] Parsia B., Rudolph S., Patel-Schneider P., Hitzler P., and Krötzsch M. OWL 2 web ontology language primer (second edition). Technical report, W3C, Dec. 2012.Search in Google Scholar

[25] Potoniec J., Jakubowski P., and[suppress] Lawrynowicz A. Swift linked data miner: Mining OWL 2 EL class expressions directly from online RDF datasets. Journal of Web Semantics, 46-47:31–50, Oct. 2017.10.1016/j.websem.2017.08.001Search in Google Scholar

[26] Potoniec J. and Lawrynowicz A. Combining ontology class expression generation with mathematical modeling for ontology learning. In Bonet B. and Koenig S., editors, Proc. of the 29^th AAAI Conf. on AI, pages 4198–4199. AAAI Press, 2015.10.1609/aaai.v29i1.9718Search in Google Scholar

[27] Prud’hommeaux E. and Carothers G. RDF 1.1 turtle. W3C recommendation, W3C, Feb. 2014. http://www.w3.org/TR/2014/REC-turtle-20140225/.Search in Google Scholar

[28] Quinlan J. Learning logical definitions from relations. Machine Learning, 5(3):239–266, 1990.10.1007/BF00117105Search in Google Scholar

[29] Racine J. S. Nonparametric econometrics: A primer. Foundations and Trends® in Econometrics, 3(1):1–88, 2007.Search in Google Scholar

[30] Raimond Y. and Schreiber G. RDF 1.1 primer. W3C note, W3C, June 2014. http://www.w3.org/TR/2014/NOTE-rdf11-primer-20140624/.Search in Google Scholar

[31] Rivero C. R., Hernández I., Ruiz D., and Corchuelo R. Towards discovering ontological models from big RDF data. In Castano S., Vassiliadis P., Lakshmanan L. V. S., and Lee M., editors, Advances in Conceptual Modeling - ER 2012 Workshops CMS, ECDM-NoCoDA, MoDIC, MORE-BI, RIGiM, SeCoGIS, WISM, Florence, Italy, October 15-18, 2012. Proceedings, volume 7518 of Lecture Notes in Computer Science, pages 131–140. Springer, 2012.Search in Google Scholar

[32] Rizzo G., d’Amato C., Fanizzi N., and Esposito F. Tree-based models for inductive classification on the web of data. Journal of Web Semantics, 45:1–22, Aug. 2017.10.1016/j.websem.2017.05.001Search in Google Scholar

[33] Schneider M. OWL 2 web ontology language RDF-based semantics (second edition). W3C recommendation, W3C, Dec. 2012. http://www.w3.org/TR/2012/REC-owl2-rdf-based-semantics-20121211/.Search in Google Scholar

[34] Tettamanzi A. G. B., Faron-Zucker C., and Gandon F. Possibilistic testing of OWL axioms against RDF data. Int. J. Approx. Reason., 91:114–130, 2017.10.1016/j.ijar.2017.08.012Search in Google Scholar

[35] Völker J., Fleischhacker D., and Stuckenschmidt H. Automatic acquisition of class disjointness. Journal of Web Semantics, 35:124–139, Dec. 2015.10.1016/j.websem.2015.07.001Search in Google Scholar

[36] Zeman V., Kliegr T., and Svátek V. Rdfrules preview: Towards an analytics engine for rule mining in RDF knowledge graphs. In Faber W., Fodor P., Gasperis G. D., Giurca A., and Teymourian K., editors, Proceedings of the Doctoral Consortium and Challenge @ RuleML+RR 2018 hosted by 2nd International Joint Conference on Rules and Reasoning (RuleML+RR 2018), Luxembourg, September 20-26, 2018, volume 2204 of CEUR Workshop Proceedings. CEUR-WS.org, 2018.Search in Google Scholar

[37] Zhang F., Ma Z. M., Yan L., and Cheng J. Construction of fuzzy OWL ontologies from fuzzy EER models: A semantics-preserving approach. Fuzzy Sets Syst., 229:1–32, 2013.Search in Google Scholar

[38] Zurek T. Conflicts in legal knowledge base. Foundations of Computing and Decision Sciences, 37(2):129–145, Oct. 2012.10.2478/v10209-011-0006-9Search in Google Scholar