{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,11,18]],"date-time":"2025-11-18T12:10:49Z","timestamp":1763467849277},"publisher-location":"Berlin, Heidelberg","reference-count":59,"publisher":"Springer Berlin Heidelberg","isbn-type":[{"type":"print","value":"9783540786511"},{"type":"electronic","value":"9783540786528"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2008]]},"DOI":"10.1007\/978-3-540-78652-8_4","type":"book-chapter","created":{"date-parts":[[2008,2,25]],"date-time":"2008-02-25T07:26:18Z","timestamp":1203924378000},"page":"92-117","source":"Crossref","is-referenced-by-count":37,"title":["Markov Logic"],"prefix":"10.1007","author":[{"given":"Pedro","family":"Domingos","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Stanley","family":"Kok","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Daniel","family":"Lowd","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Hoifung","family":"Poon","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Matthew","family":"Richardson","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Parag","family":"Singla","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","reference":[{"key":"4_CR1","first-page":"29","volume-title":"Proceedings of the 1988 Connectionist Models Summer School","author":"S. Becker","year":"1989","unstructured":"Becker, S., Le Cun, Y.: Improving the convergence of back-propagation learning with second order methods. In: Proceedings of the 1988 Connectionist Models Summer School, San Mateo, CA, pp. 29\u201337. Morgan Kaufmann, San Francisco (1989)"},{"key":"4_CR2","doi-asserted-by":"publisher","first-page":"179","DOI":"10.2307\/2987782","volume":"24","author":"J. Besag","year":"1975","unstructured":"Besag, J.: Statistical analysis of non-lattice data. The Statistician\u00a024, 179\u2013195 (1975)","journal-title":"The Statistician"},{"key":"4_CR3","first-page":"1319","volume-title":"Proceedings of the Nineteenth International Joint Conference on Artificial Intelligence","author":"R. Braz","year":"2005","unstructured":"Braz, R., Amir, E., Roth, D.: Lifted first-order probabilistic inference. In: Proceedings of the Nineteenth International Joint Conference on Artificial Intelligence, Edinburgh, UK, pp. 1319\u20131325. Morgan Kaufmann, San Francisco (2005)"},{"key":"4_CR4","doi-asserted-by":"crossref","unstructured":"Collins, M.: Discriminative training methods for hidden Markov models: Theory and experiments with perceptron algorithms. In: Proceedings of the 2002 Conference on Empirical Methods in Natural Language Processing, Philadelphia, PA, pp. 1\u20138. ACL (2002)","DOI":"10.3115\/1118693.1118694"},{"key":"4_CR5","doi-asserted-by":"crossref","unstructured":"Damien, P., Wakefield, J., Walker, S.: Gibbs sampling for Bayesian non-conjugate and hierarchical models by auxiliary variables. Journal of the Royal Statistical Society, Series B\u00a061 (1999)","DOI":"10.1111\/1467-9868.00179"},{"key":"4_CR6","doi-asserted-by":"publisher","first-page":"99","DOI":"10.1023\/A:1007361123060","volume":"26","author":"L. Raedt De","year":"1997","unstructured":"De Raedt, L., Dehaspe, L.: Clausal discovery. Machine Learning\u00a026, 99\u2013146 (1997)","journal-title":"Machine Learning"},{"key":"4_CR7","doi-asserted-by":"publisher","first-page":"380","DOI":"10.1109\/34.588021","volume":"19","author":"S. Della Pietra","year":"1997","unstructured":"Della Pietra, S., Della Pietra, V., Lafferty, J.: Inducing features of random fields. IEEE Transactions on Pattern Analysis and Machine Intelligence\u00a019, 380\u2013392 (1997)","journal-title":"IEEE Transactions on Pattern Analysis and Machine Intelligence"},{"key":"4_CR8","unstructured":"Dietterich, T.: Experience with Markov logic networks in a large AI system. In: Probabilistic, Logical and Relational Learning - Towards a Synthesis, number 05051 in Dagstuhl Seminar Proceedings. Internationales Begegnungs- und Forschungszentrum f\u00fcr Informatik (IBFI), Dagstuhl, Germany (2007)"},{"key":"4_CR9","first-page":"1300","volume-title":"Proceedings of the Sixteenth International Joint Conference on Artificial Intelligence","author":"N. Friedman","year":"1999","unstructured":"Friedman, N., Getoor, L., Koller, D., Pfeffer, A.: Learning probabilistic relational models. In: Proceedings of the Sixteenth International Joint Conference on Artificial Intelligence, Stockholm, Sweden, pp. 1300\u20131307. Morgan Kaufmann, San Francisco (1999)"},{"key":"4_CR10","volume-title":"Logical Foundations of Artificial Intelligence","author":"M.R. Genesereth","year":"1987","unstructured":"Genesereth, M.R., Nilsson, N.J.: Logical Foundations of Artificial Intelligence. Morgan Kaufmann, San Mateo (1987)"},{"volume-title":"Introduction to Statistical Relational Learning","year":"2007","key":"4_CR11","unstructured":"Getoor, L., Taskar, B. (eds.): Introduction to Statistical Relational Learning. MIT Press, Cambridge (2007)"},{"key":"4_CR12","volume-title":"Markov Chain Monte Carlo in Practice","author":"W.R. Gilks","year":"1996","unstructured":"Gilks, W.R., Richardson, S., Spiegelhalter, D.J.: Markov Chain Monte Carlo in Practice. Chapman and Hall, London, UK (1996)"},{"key":"4_CR13","doi-asserted-by":"crossref","unstructured":"Grenager, T., Klein, D., Manning, C.D.: Unsupervised learning of field segmentation models for information extraction. In: Proceedings of the Forty-Third Annual Meeting on Association for Computational Linguistics, Ann Arbor, Michigan, pp. 371\u2013378. Association for Computational Linguistics (2005)","DOI":"10.3115\/1219840.1219886"},{"key":"4_CR14","first-page":"197","volume":"20","author":"D. Heckerman","year":"1995","unstructured":"Heckerman, D., Geiger, D., Chickering, D.M.: Learning Bayesian networks: The combination of knowledge and statistical data. Machine Learning\u00a020, 197\u2013243 (1995)","journal-title":"Machine Learning"},{"key":"4_CR15","unstructured":"Jaimovich, A., Meshi, O., Friedman, N.: Template based inference in symmetric relational markov random fields. In: Proceedings of the Twenty-Third Conference on Uncertainty in Artificial Intelligence, Vancouver, Canada, AUAI Press (2007)"},{"key":"4_CR16","doi-asserted-by":"crossref","first-page":"573","DOI":"10.1090\/dimacs\/035\/15","volume-title":"The Satisfiability Problem: Theory and Applications","author":"H. Kautz","year":"1997","unstructured":"Kautz, H., Selman, B., Jiang, Y.: A general stochastic approach to solving problems with hard and soft constraints. In: Gu, D., Du, J., Pardalos, P. (eds.) The Satisfiability Problem: Theory and Applications, pp. 573\u2013586. American Mathematical Society, New York (1997)"},{"key":"4_CR17","doi-asserted-by":"crossref","first-page":"118","DOI":"10.1007\/3-540-44797-0_10","volume-title":"Proceedings of the Eleventh International Conference on Inductive Logic Programming","author":"K. Kersting","year":"2001","unstructured":"Kersting, K., De Raedt, L.: Towards combining inductive logic programming with Bayesian networks. In: Proceedings of the Eleventh International Conference on Inductive Logic Programming, Strasbourg, France, pp. 118\u2013131. Springer, Heidelberg (2001)"},{"key":"4_CR18","doi-asserted-by":"crossref","first-page":"441","DOI":"10.1145\/1102351.1102407","volume-title":"Proceedings of the Twenty-Second International Conference on Machine Learning","author":"S. Kok","year":"2005","unstructured":"Kok, S., Domingos, P.: Learning the structure of Markov logic networks. In: Proceedings of the Twenty-Second International Conference on Machine Learning, Bonn, Germany, pp. 441\u2013448. ACM Press, New York (2005)"},{"key":"4_CR19","doi-asserted-by":"crossref","first-page":"433","DOI":"10.1145\/1273496.1273551","volume-title":"Proceedings of the Twenty-Fourth International Conference on Machine Learning","author":"S. Kok","year":"2007","unstructured":"Kok, S., Domingos, P.: Statistical predicate invention. In: Proceedings of the Twenty-Fourth International Conference on Machine Learning, Corvallis, OR, pp. 433\u2013440. ACM Press, New York (2007)"},{"key":"4_CR20","unstructured":"Kok, S., Sumner, M., Richardson, M., Singla, P., Poon, H., Lowd, D., Domingos, P.: The Alchemy system for statistical relational AI. Technical report, Department of Computer Science and Engineering, University of Washington, Seattle, WA (2007), http:\/\/alchemy.cs.washington.edu"},{"issue":"1-2","key":"4_CR21","doi-asserted-by":"publisher","first-page":"15","DOI":"10.1016\/S0004-3702(99)00100-9","volume":"118","author":"N. Kushmerick","year":"2000","unstructured":"Kushmerick, N.: Wrapper induction: Efficiency and expressiveness. Artificial Intelligence\u00a0118(1-2), 15\u201368 (2000)","journal-title":"Artificial Intelligence"},{"key":"4_CR22","volume-title":"Inductive Logic Programming: Techniques and Applications","author":"N. Lavra\u010d","year":"1994","unstructured":"Lavra\u010d, N., D\u017eeroski, S.: Inductive Logic Programming: Techniques and Applications. Ellis Horwood, Chichester (1994)"},{"key":"4_CR23","volume-title":"Proceedings of the Third International Conference on Autonomous Agents","author":"S. Lawrence","year":"1999","unstructured":"Lawrence, S., Bollacker, K., Giles, C.L.: Autonomous citation matching. In: Proceedings of the Third International Conference on Autonomous Agents, ACM Press, New York (1999)"},{"issue":"3","key":"4_CR24","doi-asserted-by":"publisher","first-page":"503","DOI":"10.1007\/BF01589116","volume":"45","author":"D.C. Liu","year":"1989","unstructured":"Liu, D.C., Nocedal, J.: On the limited memory BFGS method for large scale optimization. Mathematical Programming\u00a045(3), 503\u2013528 (1989)","journal-title":"Mathematical Programming"},{"key":"4_CR25","doi-asserted-by":"crossref","DOI":"10.1007\/978-3-642-83189-8","volume-title":"Foundations of Logic Programming","author":"J.W. Lloyd","year":"1987","unstructured":"Lloyd, J.W.: Foundations of Logic Programming. Springer, Berlin, Germany (1987)"},{"key":"4_CR26","first-page":"200","volume-title":"Proceedings of the Eleventh European Conference on Principles and Practice of Knowledge Discovery in Databases","author":"D. Lowd","year":"2007","unstructured":"Lowd, D., Domingos, P.: Efficient weight learning for Markov logic networks. In: Proceedings of the Eleventh European Conference on Principles and Practice of Knowledge Discovery in Databases, Warsaw, Poland, pp. 200\u2013211. Springer, Heidelberg (2007)"},{"key":"4_CR27","volume-title":"Proceedings of the Twentieth International Joint Conference on Artificial Intelligence","author":"D. Lowd","year":"2007","unstructured":"Lowd, D., Domingos, P.: Recursive random fields. In: Proceedings of the Twentieth International Joint Conference on Artificial Intelligence, Hyderabad, India, AAAI Press, Menlo Park (2007)"},{"key":"4_CR28","doi-asserted-by":"publisher","first-page":"325","DOI":"10.1023\/A:1008929526011","volume":"10","author":"D.J. Lunn","year":"2000","unstructured":"Lunn, D.J., Thomas, A., Best, N., Spiegelhalter, D.: WinBUGS \u2013 a Bayesian modeling framework: Concepts, structure, and extensibility. Statistics and Computing\u00a010, 325\u2013337 (2000)","journal-title":"Statistics and Computing"},{"key":"4_CR29","unstructured":"Matuszek, C., Witbrock, M.: Personal communication (2006)"},{"key":"4_CR30","volume-title":"Proceedings of the Nineteenth Conference on Uncertainty in Artificial Intelligence","author":"A. McCallum","year":"2003","unstructured":"McCallum, A.: Efficiently inducing features of conditional random fields. In: Proceedings of the Nineteenth Conference on Uncertainty in Artificial Intelligence, Acapulco, Mexico, Morgan Kaufmann, San Francisco (2003)"},{"key":"4_CR31","doi-asserted-by":"crossref","first-page":"625","DOI":"10.1145\/1273496.1273575","volume-title":"Proceedings of the Twenty-Fourth International Conference on Machine Learning","author":"L. Mihalkova","year":"2007","unstructured":"Mihalkova, L., Mooney, R.: Bottom-up learning of Markov logic network structure. In: Proceedings of the Twenty-Fourth International Conference on Machine Learning, Corvallis, OR, pp. 625\u2013632. ACM Press, New York (2007)"},{"key":"4_CR32","doi-asserted-by":"publisher","first-page":"525","DOI":"10.1016\/S0893-6080(05)80056-5","volume":"6","author":"M. M\u00f8ller","year":"1993","unstructured":"M\u00f8ller, M.: A scaled conjugate gradient algorithm for fast supervised learning. Neural Networks\u00a06, 525\u2013533 (1993)","journal-title":"Neural Networks"},{"key":"4_CR33","first-page":"254","volume-title":"Advances in Inductive Logic Programming","author":"S. Muggleton","year":"1996","unstructured":"Muggleton, S.: Stochastic logic programs. In: De Raedt, L. (ed.) Advances in Inductive Logic Programming, pp. 254\u2013264. IOS Press, Amsterdam, Netherlands (1996)"},{"key":"4_CR34","doi-asserted-by":"publisher","first-page":"170","DOI":"10.1109\/ICDM.2004.10101","volume-title":"Proceedings of the Fourth IEEE International Conference on Data Mining","author":"J. Neville","year":"2004","unstructured":"Neville, J., Jensen, D.: Dependency networks for relational data. In: Proceedings of the Fourth IEEE International Conference on Data Mining, Brighton, UK, pp. 170\u2013177. IEEE Computer Society Press, Los Alamitos (2004)"},{"key":"4_CR35","volume-title":"Numerical Optimization","author":"J. Nocedal","year":"2006","unstructured":"Nocedal, J., Wright, S.: Numerical Optimization. Springer, New York (2006)"},{"key":"4_CR36","volume-title":"Advances in Neural Information Processing Systems 14","author":"H. Pasula","year":"2002","unstructured":"Pasula, H., Marthi, B., Milch, B., Russell, S., Shpitser, I.: Identity uncertainty and citation matching. In: Advances in Neural Information Processing Systems 14, MIT Press, Cambridge (2002)"},{"key":"4_CR37","volume-title":"Probabilistic Reasoning in Intelligent Systems: Networks of Plausible Inference","author":"J. Pearl","year":"1988","unstructured":"Pearl, J.: Probabilistic Reasoning in Intelligent Systems: Networks of Plausible Inference. Morgan Kaufmann, San Francisco (1988)"},{"issue":"1","key":"4_CR38","doi-asserted-by":"publisher","first-page":"147","DOI":"10.1162\/neco.1994.6.1.147","volume":"6","author":"B. Pearlmutter","year":"1994","unstructured":"Pearlmutter, B.: Fast exact multiplication by the Hessian. Neural Computation\u00a06(1), 147\u2013160 (1994)","journal-title":"Neural Computation"},{"key":"4_CR39","first-page":"985","volume-title":"Proceedings of the Eighteenth International Joint Conference on Artificial Intelligence","author":"D. Poole","year":"2003","unstructured":"Poole, D.: First-order probabilistic inference. In: Proceedings of the Eighteenth International Joint Conference on Artificial Intelligence, Acapulco, Mexico, pp. 985\u2013991. Morgan Kaufmann, San Francisco (2003)"},{"key":"4_CR40","first-page":"458","volume-title":"Proceedings of the Twenty-First National Conference on Artificial Intelligence","author":"H. Poon","year":"2006","unstructured":"Poon, H., Domingos, P.: Sound and efficient inference with probabilistic and deterministic dependencies. In: Proceedings of the Twenty-First National Conference on Artificial Intelligence, Boston, MA, pp. 458\u2013463. AAAI Press, Menlo Park (2006)"},{"key":"4_CR41","first-page":"913","volume-title":"Proceedings of the Twenty-Second National Conference on Artificial Intelligence","author":"H. Poon","year":"2007","unstructured":"Poon, H., Domingos, P.: Joint inference in information extraction. In: Proceedings of the Twenty-Second National Conference on Artificial Intelligence, Vancouver, Canada, pp. 913\u2013918. AAAI Press, Menlo Park (2007)"},{"key":"4_CR42","first-page":"239","volume":"5","author":"J.R. Quinlan","year":"1990","unstructured":"Quinlan, J.R.: Learning logical definitions from relations. Machine Learning\u00a05, 239\u2013266 (1990)","journal-title":"Machine Learning"},{"key":"4_CR43","doi-asserted-by":"publisher","first-page":"257","DOI":"10.1109\/5.18626","volume":"77","author":"L.R. Rabiner","year":"1989","unstructured":"Rabiner, L.R.: A tutorial on hidden Markov models and selected applications in speech recognition. Proceedings of the IEEE\u00a077, 257\u2013286 (1989)","journal-title":"Proceedings of the IEEE"},{"key":"4_CR44","doi-asserted-by":"publisher","first-page":"107","DOI":"10.1007\/s10994-006-5833-1","volume":"62","author":"M. Richardson","year":"2006","unstructured":"Richardson, M., Domingos, P.: Markov logic networks. Machine Learning\u00a062, 107\u2013136 (2006)","journal-title":"Machine Learning"},{"key":"4_CR45","unstructured":"Riedel, S., Klein, E.: Genic interaction extraction with semantic and syntactic chains. In: Proceedings of the Fourth Workshop on Learning Language in Logic, Bonn, Germany, pp. 69\u201374. IMLS (2005)"},{"key":"4_CR46","doi-asserted-by":"publisher","first-page":"23","DOI":"10.1145\/321250.321253","volume":"12","author":"J.A. Robinson","year":"1965","unstructured":"Robinson, J.A.: A machine-oriented logic based on the resolution principle. Journal of the ACM\u00a012, 23\u201341 (1965)","journal-title":"Journal of the ACM"},{"key":"4_CR47","doi-asserted-by":"publisher","first-page":"273","DOI":"10.1016\/0004-3702(94)00092-1","volume":"82","author":"D. Roth","year":"1996","unstructured":"Roth, D.: On the hardness of approximate reasoning. Artificial Intelligence\u00a082, 273\u2013302 (1996)","journal-title":"Artificial Intelligence"},{"key":"4_CR48","doi-asserted-by":"crossref","unstructured":"Sha, F., Pereira, F.: Shallow parsing with conditional random fields. In: Proceedings of the 2003 Human Language Technology Conference and North American Chapter of the Association for Computational Linguistics, Association for Computational Linguistics (2003)","DOI":"10.3115\/1073445.1073473"},{"key":"4_CR49","unstructured":"Shewchuck, J.: An introduction to the conjugate gradient method without the agonizing pain. Technical Report CMU-CS-94-125, School of Computer Science, Carnegie Mellon University (1994)"},{"key":"4_CR50","first-page":"868","volume-title":"aaai05","author":"P. Singla","year":"2005","unstructured":"Singla, P., Domingos, P.: Discriminative training of Markov logic networks. In: aaai05, Pittsburgh, PA, pp. 868\u2013873. AAAI Press, Menlo Park (2005)"},{"key":"4_CR51","doi-asserted-by":"publisher","first-page":"572","DOI":"10.1109\/ICDM.2006.65","volume-title":"Proceedings of the Sixth IEEE International Conference on Data Mining","author":"P. Singla","year":"2006","unstructured":"Singla, P., Domingos, P.: Entity resolution with Markov logic. In: Proceedings of the Sixth IEEE International Conference on Data Mining, Hong Kong, pp. 572\u2013582. IEEE Computer Society Press, Los Alamitos (2006)"},{"key":"4_CR52","volume-title":"Proceedings of the Twenty-First National Conference on Artificial Intelligence","author":"P. Singla","year":"2006","unstructured":"Singla, P., Domingos, P.: Memory-efficient inference in relational domains. In: Proceedings of the Twenty-First National Conference on Artificial Intelligence, Boston, MA, AAAI Press, Menlo Park (2006)"},{"key":"4_CR53","unstructured":"Singla, P., Domingos, P.: Markov logic in infinite domains. In: Proceedings of the Twenty-Third Conference on Uncertainty in Artificial Intelligence, Vancouver, Canada, pp. 368\u2013375. AUAI Press (2007)"},{"key":"4_CR54","unstructured":"Srinivasan, A.: The Aleph manual. Technical report, Computing Laboratory, Oxford University (2000)"},{"key":"4_CR55","doi-asserted-by":"crossref","DOI":"10.1017\/CBO9780511815478","volume-title":"Social Network Analysis: Methods and Applications","author":"S. Wasserman","year":"1994","unstructured":"Wasserman, S., Faust, K.: Social Network Analysis: Methods and Applications. Cambridge University Press, Cambridge (1994)"},{"key":"4_CR56","volume-title":"aaai04","author":"W. Wei","year":"2004","unstructured":"Wei, W., Erenrich, J., Selman, B.: Towards efficient sampling: Exploiting random walk strategies. In: aaai04, San Jose, CA, AAAI Press, Menlo Park (2004)"},{"key":"4_CR57","doi-asserted-by":"crossref","unstructured":"Wellman, M., Breese, J.S., Goldman, R.P.: From knowledge bases to decision models. Knowledge Engineering Review\u00a07 (1992)","DOI":"10.1017\/S0269888900006147"},{"key":"4_CR58","unstructured":"Wellner, B., McCallum, A., Peng, F., Hay, M.: An integrated, conditional model of information extraction and coreference with application to citation matching. In: Proceedings of the Twentieth Conference on Uncertainty in Artificial Intelligence, Banff, Canada, pp. 593\u2013601. AUAI Press (2004)"},{"key":"4_CR59","first-page":"689","volume-title":"Advances in Neural Information Processing Systems 13","author":"J.S. Yedidia","year":"2001","unstructured":"Yedidia, J.S., Freeman, W.T., Weiss, Y.: Generalized belief propagation. In: Leen, T., Dietterich, T., Tresp, V. (eds.) Advances in Neural Information Processing Systems 13, pp. 689\u2013695. MIT Press, Cambridge (2001)"}],"container-title":["Lecture Notes in Computer Science","Probabilistic Inductive Logic Programming"],"original-title":[],"link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-540-78652-8_4","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2021,9,4]],"date-time":"2021-09-04T17:29:18Z","timestamp":1630776558000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-540-78652-8_4"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2008]]},"ISBN":["9783540786511","9783540786528"],"references-count":59,"URL":"https:\/\/doi.org\/10.1007\/978-3-540-78652-8_4","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2008]]}}}