{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,9,29]],"date-time":"2025-09-29T08:10:44Z","timestamp":1759133444718},"reference-count":36,"publisher":"Springer Science and Business Media LLC","issue":"1-2","license":[{"start":{"date-parts":[[2006,1,27]],"date-time":"2006-01-27T00:00:00Z","timestamp":1138320000000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Mach Learn"],"published-print":{"date-parts":[[2006,2]]},"DOI":"10.1007\/s10994-006-5831-3","type":"journal-article","created":{"date-parts":[[2006,2,3]],"date-time":"2006-02-03T09:24:45Z","timestamp":1138958685000},"page":"7-31","source":"Crossref","is-referenced-by-count":25,"title":["PRL: A probabilistic relational language"],"prefix":"10.1007","volume":"62","author":[{"given":"Lise","family":"Getoor","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"John","family":"Grant","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2006,1,27]]},"reference":[{"key":"5831_CR1","doi-asserted-by":"crossref","unstructured":"Bhattacharya, I. & Getoor, L. (2004). Iterative record linkage for cleaning and integration. In 9th ACM SIGMOD Workshop on Research Issues in Data Mining and Knowledge Discovery.","DOI":"10.1145\/1008694.1008697"},{"key":"5831_CR2","unstructured":"Blockeel, H. (2003). Prolog for bayesian networks: A meta-interpreter approach. In Proceedings of the 2nd Workshop on Multi-Relational Data Mining."},{"key":"5831_CR3","unstructured":"Costa, V. S., Page, D. Qazi, & M. Cussens, J. (2003). CLP (BN): Constraint logic programming for probabilistic knowledge. In Proceedings of the Conference on Uncertainty in Artificial Intelligence. (pp. 517\u2013524)."},{"key":"5831_CR4","volume-title":"Optimal Statistical Decisions","author":"M. H. DeGroot","year":"1970","unstructured":"DeGroot, M. H. (1970)., Optimal Statistical Decisions. New York: McGraw-Hill."},{"key":"5831_CR5","unstructured":"Fierens, D., Blockeel, H., Bruynooghe, & M. Ramon, J. (2004). Logical bayesian networks. In Proceedings of the 3rd Workshop on Multi-Relational Data Mining."},{"key":"5831_CR6","doi-asserted-by":"crossref","unstructured":"Fierens, D., Blockeel, H., Bruynooghe, M. & Ramon, J. (2005). Logical bayesian networks and their relation to other probabilistic logical models. In Proceedings of the Inductive Logic Programming Conference.","DOI":"10.1007\/11536314_8"},{"key":"5831_CR7","unstructured":"Friedman, N., Getoor, L., Koller, D. & Pfeffer, A. (1999). Learning probabilistic relational models. In Proceedings of the International Joint Conference on Artificial Intelligence. Stockholm, Sweden (pp. 1300\u20131307) Morgan Kaufman."},{"key":"5831_CR8","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1007\/BF02759729","volume":"2","author":"H. Gaifman","year":"1964","unstructured":"Gaifman, H. (1964). Concerning measures in first order calculi. Israel Journal of Mathematics, 2, 1\u201318.","journal-title":"Israel Journal of Mathematics"},{"key":"5831_CR9","unstructured":"Getoor, L. (2001). Learning Statistical Models of Relational Data. Ph.D. thesis, Stanford University."},{"key":"5831_CR10","doi-asserted-by":"crossref","unstructured":"Getoor, L., Friedman, N., Koller, D. & Pfeffer, A. (2001a) Learning probabilistic relational models. In S. Dzeroski and N. Lavrac (eds.), Relational Data Mining Kluwer (pp. 307\u2013335).","DOI":"10.1007\/978-3-662-04599-2_13"},{"key":"5831_CR11","doi-asserted-by":"crossref","unstructured":"Getoor, L., Friedman. N., Koller, D. & Taskar, B. (2001b). Learning probabilistic relational models with structural uncertainty. In Proceedings of the International Conference on Machine Learning. Morgan Kaufman (pp. 170\u2014l177).","DOI":"10.1007\/978-3-662-04599-2_13"},{"key":"5831_CR12","first-page":"679","volume":"3","author":"L. Getoor","year":"2002","unstructured":"Getoor, L., Friedman, N., Koller, D. & Taskar, B. (2002). Learning probabilistic models with link structure. Journal of Machine Learning Research, 3, 679\u2013707.","journal-title":"Journal of Machine Learning Research"},{"key":"5831_CR13","doi-asserted-by":"crossref","first-page":"233","DOI":"10.1016\/j.artmed.2003.11.003","volume":"30","author":"L. Getoor","year":"2004","unstructured":"Getoor, L., Rhee, J., Koller, D. & Small, P. (2004). Understanding tuberculosis epidemiology using probabilistic relational models. Artificial Integllicence in Medicine, 30 (233\u2013256).","journal-title":"Artificial Integllicence in Medicine"},{"key":"5831_CR14","unstructured":"Getoor, L., Segal, E., Taskar, B., & Koller, D. (2001c). Probabilistic models of text and link structure for hypertext classification. In IJCAI Workshop on Text Learning: Beyond Supervision."},{"key":"5831_CR15","doi-asserted-by":"crossref","unstructured":"Getoor, L., Taskar, B., & Koller, D. (2001d). Using probabilistic models for selectivity estimation. In Proceedings of ACM SIGMOD International Conference on Management of Data. ACM Press (pp. 461\u2013472).","DOI":"10.1145\/375663.375727"},{"key":"5831_CR16","doi-asserted-by":"crossref","first-page":"311","DOI":"10.1016\/0004-3702(90)90019-V","volume":"46","author":"J. Halpern","year":"1990","unstructured":"Halpern, J. (1990). An analysis of first-order logics of probability. Artificial Intelligence Journal, 46, 311\u2013350.","journal-title":"Artificial Intelligence Journal"},{"key":"5831_CR17","unstructured":"Heckerman, D., Meek, C. & Koller, D. (2004). Probabilistic models for relational data. Technical Report 30, Microsoft Research, Microsoft Corporation."},{"key":"5831_CR18","unstructured":"Jaeger, M. (1998). Reasoning about infinite random structures with relational Bayesian networks. In Proceedings of the Knowledge Representations Conference (pp. 570\u2013581)."},{"key":"5831_CR19","doi-asserted-by":"crossref","unstructured":"Kersting, K. & De Raedt, L. (2001a). Adaptive Bayesian logic programs. In Proceedings of the Inductive Logic Programming Conference.","DOI":"10.1007\/3-540-44797-0_9"},{"key":"5831_CR20","doi-asserted-by":"crossref","unstructured":"Kersting, K. & De Raedt, L. (2001b). Bayesian logic programs. Technical Report 151, Institute for Computer Science, University of Freiburg, Germany.","DOI":"10.1007\/3-540-44797-0_9"},{"key":"5831_CR21","unstructured":"Koller, D., McAllester, D. & Pfeffer, A. (1997). Effective Bayesian inference for stochastic programs. In Proceedings of the National Conference on Artificial Intelligence (pp. 740\u2013747)."},{"key":"5831_CR22","unstructured":"Koller, D. & Pfeffer, A. (1998). Probabilistic frame-based systems. In Proceedings of American Artificial Intelligence Conference."},{"key":"5831_CR23","unstructured":"Laskey, K. B. (2003). MEBN: A logic for open-world probabilistic reasoning. Technical report, Department of Systems Engineering and Operations Research, George Mason University."},{"key":"5831_CR24","unstructured":"Lloyd, J. W. (1989). Foundations of Logic Programming. Springer."},{"key":"5831_CR25","unstructured":"McCallum, A. & Wellner, B. (2003). Toward conditional models of identity uncertainty with application to proper noun coreference. In IJCAI Workshop on Information Integration on the Web."},{"key":"5831_CR26","unstructured":"Milch, B., Marthi, B. & Russell, S. (2004). BLOG: Relational modeling with unknown objects. In ICML 2004 Workshop on Statistical Relational Learning and Its Connections to Other Fields."},{"key":"5831_CR27","unstructured":"Muggleton, S. (1996). Stochastic logic programs. In Advnaces in Inductive Logic Programming (pp. 254\u2013264)."},{"key":"5831_CR28","unstructured":"Pasula, H., Marthi, B., Milch, B., Russell, S. & Shpitser, I. (2003). Identity uncertainty and citation matching. In Advances in Neural Information Processing."},{"key":"5831_CR29","unstructured":"Pasula, H. & Russell, S. (2001). Approximate inference for first-order probabilistic languages. In Proceedings of the International Joint Conference on Artificial Intelligence (pp. 741\u2013748)."},{"key":"5831_CR30","unstructured":"Pearl, J. (1988). Probabilistic Reasoning in Intelligent Systems. Morgan Kaufmann."},{"key":"5831_CR31","unstructured":"Pfeffer, A. (2000). Probabilistic reasoning for complex systems. Ph.D. thesis, Stanford University."},{"key":"5831_CR32","unstructured":"Pfeffer, A., Koller, D., Milch, B. & Takusagawa, K. (1999). SPOOK: A system for probabilistic object-oriented knowledge representation. In Proceedings of the Conference on Uncertainty in Artificial Intelligence."},{"issue":"1","key":"5831_CR33","doi-asserted-by":"crossref","first-page":"81","DOI":"10.1016\/0004-3702(93)90061-F","volume":"64","author":"D. Poole","year":"1993","unstructured":"Poole, D. (1993). Probabilistic horn abduction and Bayesian networks. Artificial Intelligence Journal, 64 (1), 81\u2013129.","journal-title":"Artificial Intelligence Journal"},{"key":"5831_CR34","doi-asserted-by":"crossref","unstructured":"Russell, S. (2001). Identity uncertainty. In Proceedings of International Fuzzy Systems Association.","DOI":"10.1109\/NAFIPS.2001.944751"},{"key":"5831_CR35","unstructured":"Sato, T. & Kameya, Y. (1997) PRISM: A symbolic-statistical modeling language. In Proceedings of the International Joint Conference on Artificial Intelligence (pp. 1330\u20131335)."},{"issue":"1","key":"5831_CR36","doi-asserted-by":"crossref","first-page":"35","DOI":"10.1017\/S0269888900006147","volume":"7","author":"M. Wellman","year":"1992","unstructured":"Wellman, M., Breese, J. & Goldman, R. (1992). From knowledge bases to decision models. Knowledge Engineering Review, 7 (1), 35\u201353.","journal-title":"Knowledge Engineering Review"}],"container-title":["Machine Learning"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s10994-006-5831-3.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/article\/10.1007\/s10994-006-5831-3\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s10994-006-5831-3","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,6,1]],"date-time":"2019-06-01T01:40:20Z","timestamp":1559353220000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/s10994-006-5831-3"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2006,1,27]]},"references-count":36,"journal-issue":{"issue":"1-2","published-print":{"date-parts":[[2006,2]]}},"alternative-id":["5831"],"URL":"https:\/\/doi.org\/10.1007\/s10994-006-5831-3","relation":{},"ISSN":["0885-6125","1573-0565"],"issn-type":[{"value":"0885-6125","type":"print"},{"value":"1573-0565","type":"electronic"}],"subject":[],"published":{"date-parts":[[2006,1,27]]}}}