{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,26]],"date-time":"2025-03-26T03:32:57Z","timestamp":1742959977348,"version":"3.40.3"},"publisher-location":"Cham","reference-count":29,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783319134123"},{"type":"electronic","value":"9783319134130"}],"license":[{"start":{"date-parts":[[2014,1,1]],"date-time":"2014-01-01T00:00:00Z","timestamp":1388534400000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2014]]},"DOI":"10.1007\/978-3-319-13413-0_4","type":"book-chapter","created":{"date-parts":[[2014,12,1]],"date-time":"2014-12-01T19:59:56Z","timestamp":1417463996000},"page":"63-78","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":7,"title":["Learning Probabilistic Description Logics"],"prefix":"10.1007","author":[{"given":"Fabrizio","family":"Riguzzi","sequence":"first","affiliation":[]},{"given":"Elena","family":"Bellodi","sequence":"additional","affiliation":[]},{"given":"Evelina","family":"Lamma","sequence":"additional","affiliation":[]},{"given":"Riccardo","family":"Zese","sequence":"additional","affiliation":[]},{"given":"Giuseppe","family":"Cota","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2014,11,30]]},"reference":[{"key":"4_CR1","unstructured":"Agrawal, R., Srikant, R.: Fast algorithms for mining association rules in large databases. In: International Conference on Very Large Data Bases, pp. 487\u2013499. Morgan Kaufmann (1994)"},{"key":"4_CR2","unstructured":"Bellodi, E., Lamma, E., Riguzzi, F., Albani, S.: A distribution semantics for probabilistic ontologies. In: Uncertainty Reasoning for the Semantic Web. CEUR Workshop Proceedings, vol. 778, pp. 75\u201386. Sun SITE Central Europe (2011)"},{"issue":"1","key":"4_CR3","doi-asserted-by":"crossref","first-page":"3","DOI":"10.3233\/IA-2012-0027","volume":"8","author":"E Bellodi","year":"2012","unstructured":"Bellodi, E., Riguzzi, F.: Experimentation of an expectation maximization algorithm for probabilistic logic programs. Intelligenza Artificiale 8(1), 3\u201318 (2012)","journal-title":"Intelligenza Artificiale"},{"issue":"2","key":"4_CR4","doi-asserted-by":"crossref","first-page":"343","DOI":"10.3233\/IDA-130582","volume":"17","author":"E Bellodi","year":"2013","unstructured":"Bellodi, E., Riguzzi, F.: Expectation Maximization over binary decision diagrams for probabilistic logic programs. Intell. Data Anal. 17(2), 343\u2013363 (2013)","journal-title":"Intell. Data Anal."},{"key":"4_CR5","doi-asserted-by":"crossref","unstructured":"Bellodi, E., Riguzzi, F.: Structure learning of probabilistic logic programs by searching the clause space. Theory and Practice of Logic Programming FirstView Articles (to appear, 2014)","DOI":"10.1017\/S1471068413000689"},{"key":"4_CR6","doi-asserted-by":"crossref","unstructured":"Davis, J., Goadrich, M.: The relationship between precision-recall and ROC curves. In: International Conference on Machine Learning, pp. 233\u2013240. ACM (2006)","DOI":"10.1145\/1143844.1143874"},{"key":"4_CR7","unstructured":"De Raedt, L., Kimmig, A., Toivonen, H.: ProbLog: A probabilistic Prolog and its application in link discovery. In: International Joint Conference on Artificial Intelligence, vol. 7, pp. 2462\u20132467 (2007)"},{"issue":"1","key":"4_CR8","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1111\/j.2517-6161.1977.tb01600.x","volume":"39","author":"AP Dempster","year":"1977","unstructured":"Dempster, A.P., Laird, N.M., Rubin, D.B.: Maximum likelihood from incomplete data via the EM algorithm. J. Roy. Stat. Soc. Ser. B 39(1), 1\u201338 (1977)","journal-title":"J. Roy. Stat. Soc. Ser. B"},{"issue":"8","key":"4_CR9","doi-asserted-by":"publisher","first-page":"861","DOI":"10.1016\/j.patrec.2005.10.010","volume":"27","author":"T Fawcett","year":"2006","unstructured":"Fawcett, T.: An introduction to ROC analysis. Pattern Recogn. Lett. 27(8), 861\u2013874 (2006)","journal-title":"Pattern Recogn. Lett."},{"key":"4_CR10","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"crossref","first-page":"680","DOI":"10.1007\/978-3-642-25106-1_20","volume-title":"On the Move to Meaningful Internet Systems: OTM 2011","author":"D Fleischhacker","year":"2011","unstructured":"Fleischhacker, D., V\u00f6lker, J.: Inductive learning of disjointness axioms. In: Meersman, R., et al. (eds.) OTM 2011, Part II. LNCS, vol. 7045, pp. 680\u2013697. Springer, Heidelberg (2011)"},{"issue":"1","key":"4_CR11","doi-asserted-by":"publisher","first-page":"71","DOI":"10.1016\/j.websem.2011.01.001","volume":"9","author":"J Lehmann","year":"2011","unstructured":"Lehmann, J., Auer, S., B\u00fchmann, L., Tramp, S.: Class expression learning for ontology engineering. J. Web Semant. 9(1), 71\u201381 (2011)","journal-title":"J. Web Semant."},{"key":"4_CR12","doi-asserted-by":"publisher","first-page":"203","DOI":"10.1007\/s10994-009-5146-2","volume":"78","author":"J Lehmann","year":"2010","unstructured":"Lehmann, J., Hitzler, P.: Concept learning in description logics using refinement operators. Mach. Learn. 78, 203\u2013250 (2010)","journal-title":"Mach. Learn."},{"key":"4_CR13","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"28","DOI":"10.1007\/978-3-642-25324-9_3","volume-title":"Advances in Artificial Intelligence","author":"JE Ochoa-Luna","year":"2011","unstructured":"Ochoa-Luna, J.E., Revoredo, K., Cozman, F.G.: Learning probabilistic description logics: a framework and algorithms. In: Batyrshin, I., Sidorov, G. (eds.) MICAI 2011, Part I. LNCS, vol. 7094, pp. 28\u201339. Springer, Heidelberg (2011)"},{"key":"4_CR14","doi-asserted-by":"crossref","unstructured":"Minervini, P., d\u2019Amato, C., Fanizzi, N.: Learning probabilistic description logic concepts: Under different assumptions on missing knowledge. In: ACM Symposium on Applied Computing, pp. 378\u2013383. ACM (2012)","DOI":"10.1145\/2245276.2245349"},{"key":"4_CR15","unstructured":"Patel-Schneider, P.F., Horrocks, I., Bechhofer, S.: Tutorial on OWL (2003)"},{"key":"4_CR16","unstructured":"Riguzzi, F., Bellodi, E., Lamma, E.: Probabilistic Datalog+\/- under the distribution semantics. In: International Workshop on Description Logics. CEUR Workshop Proceedings, vol. 846. Sun SITE Central Europe (2012)"},{"key":"4_CR17","unstructured":"Riguzzi, F., Bellodi, E., Lamma, E.: Probabilistic ontologies in Datalog+\/-. In: Italian Conference on Computational Logic. CEUR Workshop Proceedings, vol. 857, pp. 221\u2013235. Sun SITE Central Europe (2012)"},{"key":"4_CR18","unstructured":"Riguzzi, F., Bellodi, E., Lamma, E., Zese, R.: Epistemic and statistical probabilistic ontologies. In: Uncertainty Reasoning for the Semantic Web. CEUR Workshop Proceedings, vol. 900, pp. 3\u201314. Sun SITE Central Europe (2012)"},{"key":"4_CR19","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"183","DOI":"10.1007\/978-3-642-39666-3_14","volume-title":"Web Reasoning and Rule Systems","author":"F Riguzzi","year":"2013","unstructured":"Riguzzi, F., Bellodi, E., Lamma, E., Zese, R.: BUNDLE: a reasoner for probabilistic ontologies. In: Faber, W., Lembo, D. (eds.) RR 2013. LNCS, vol. 7994, pp. 183\u2013197. Springer, Heidelberg (2013)"},{"key":"4_CR20","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"crossref","first-page":"397","DOI":"10.1007\/978-3-319-03524-6_34","volume-title":"AI*IA 2013: Advances in Artificial Intelligence","author":"F Riguzzi","year":"2013","unstructured":"Riguzzi, F., Bellodi, E., Lamma, E., Zese, R.: Computing instantiated explanations in\u00a0OWL\u00a0DL. In: Baldoni, M., Baroglio, C., Boella, G., Micalizio, R. (eds.) AI*IA 2013. LNCS, vol. 8249, pp. 397\u2013408. Springer, Heidelberg (2013)"},{"key":"4_CR21","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"265","DOI":"10.1007\/978-3-642-39666-3_26","volume-title":"Web Reasoning and Rule Systems","author":"F Riguzzi","year":"2013","unstructured":"Riguzzi, F., Bellodi, E., Lamma, E., Zese, R.: Parameter learning for probabilistic ontologies. In: Faber, W., Lembo, D. (eds.) RR 2013. LNCS, vol. 7994, pp. 265\u2013270. Springer, Heidelberg (2013)"},{"key":"4_CR22","unstructured":"Riguzzi, F., Bellodi, E., Lamma, E., Zese, R.: Learning the parameters of probabilistic description logics. In: Inductive Logic Programming Late Breaking papers. CEUR Workshop Proceedings, vol. 1187, pp. 46\u201351. Sun SITE Central Europe (2014)"},{"key":"4_CR23","doi-asserted-by":"crossref","unstructured":"Riguzzi, F., Bellodi, E., Lamma, E., Zese, R.: Probabilistic description logics under the distribution semantics. Semantic Web - Interoperability, Usability, Applicability (to appear, 2014)","DOI":"10.1007\/978-3-319-13413-0_4"},{"key":"4_CR24","unstructured":"Riguzzi, F., Lamma, E., Bellodi, E., Zese, R.: Semantics and inference for probabilistic ontologies. In: Popularize Artificial Intelligence Workshop. CEUR Workshop Proceedings, vol. 860, pp. 41\u201346. Sun SITE Central Europe (2012)"},{"key":"4_CR25","doi-asserted-by":"crossref","unstructured":"Sato, T.: A statistical learning method for logic programs with distribution semantics. In: International Conference on Logic Programming, pp. 715\u2013729. MIT Press (1995)","DOI":"10.7551\/mitpress\/4298.003.0069"},{"issue":"1","key":"4_CR26","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1016\/0004-3702(91)90078-X","volume":"48","author":"M Schmidt-Schau\u00df","year":"1991","unstructured":"Schmidt-Schau\u00df, M., Smolka, G.: Attributive concept descriptions with complements. Artif. Intell. 48(1), 1\u201326 (1991)","journal-title":"Artif. Intell."},{"issue":"2","key":"4_CR27","doi-asserted-by":"publisher","first-page":"51","DOI":"10.1016\/j.websem.2007.03.004","volume":"5","author":"E Sirin","year":"2007","unstructured":"Sirin, E., Parsia, B., Cuenca-Grau, B., Kalyanpur, A., Katz, Y.: Pellet: a practical OWL-DL reasoner. J. Web Semant. 5(2), 51\u201353 (2007)","journal-title":"J. Web Semant."},{"key":"4_CR28","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"crossref","first-page":"124","DOI":"10.1007\/978-3-642-21034-1_9","volume-title":"The Semantic Web: Research and Applications","author":"J V\u00f6lker","year":"2011","unstructured":"V\u00f6lker, J., Niepert, M.: Statistical schema induction. In: Antoniou, G., Grobelnik, M., Simperl, E., Parsia, B., Plexousakis, D., De Leenheer, P., Pan, J. (eds.) ESWC 2011, Part I. LNCS, vol. 6643, pp. 124\u2013138. Springer, Heidelberg (2011)"},{"key":"4_CR29","unstructured":"Zese, R., Bellodi, E., Lamma, E., Riguzzi, F.: A description logics tableau reasoner in Prolog. In: Italian Conference on Computational Logic. CEUR Workshop Proceedings, vol. 1068, pp. 33\u201347. Sun SITE Central Europe (2013)"}],"container-title":["Lecture Notes in Computer Science","Uncertainty Reasoning for the Semantic Web III"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-319-13413-0_4","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,6,5]],"date-time":"2024-06-05T13:38:34Z","timestamp":1717594714000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-319-13413-0_4"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2014]]},"ISBN":["9783319134123","9783319134130"],"references-count":29,"URL":"https:\/\/doi.org\/10.1007\/978-3-319-13413-0_4","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2014]]},"assertion":[{"value":"30 November 2014","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}}]}}