Databases Reference
In-Depth Information
46. Koller, D., Friedman, N.: Probabilistic Graphical Models: Principles and Tech-
niques. MIT Press (2009)
47. Koller, D., Levy, A., Pfeffer, A.: P-classic: A tractable probabilistic description
logic. In: Proceedings of the 14th AAAI Conference on Artificial Intelligence (AAAI
1997), pp. 390-397 (1997)
48. Lafferty, J.D., McCallum, A., Pereira, F.C.N.: Conditional random fields: Proba-
bilistic models for segmenting and labeling sequence data. In: Proceedings of the
Eighteenth International Conference on Machine Learning, pp. 282-289 (2001)
49. Laskey, K.B., Costa, P.C.G.: Of klingons and starships: Bayesian logic for the
23rd century. In: Proceedings of the 21st Conference in Uncertainty in Artificial
Intelligence, pp. 346-353. AUAI Press (2005)
50. Levenshtein, V.I.: Binary codes capable of correcting deletions and insertions and
reversals. In: Doklady Akademii Nauk SSSR, pp. 845-848 (1965)
51. Low, Y., Gonzalez, J., Kyrola, A., Bickson, D., Guestrin, C., Hellerstein, J.M.:
Graphlab: A new framework for parallel machine learning. In: Proceedings of UAI,
pp. 340-349 (2010)
52. Manola, F., Miller, E.: RDF primer. Technical report, WWW Consortium (Febru-
53. Margot, F.: Exploiting orbits in symmetric ilp. Math. Program. 98(1-3), 3-21
(2003)
54. Margot, F.: Symmetry in integer linear programming. In: 50 Years of Integer Pro-
gramming 1958-2008, pp. 647-686. Springer, Heidelberg (2010)
55. Meilicke, C., Stuckenschmidt, H.: Analyzing mapping extraction approaches. In:
Proceedings of the Workshop on Ontology Matching, Busan, Korea (2007)
56. Meilicke, C., Stuckenschmidt, H.: An e
cient method for computing align-
ment diagnoses. In: Polleres, A., Swift, T. (eds.) RR 2009. LNCS, vol. 5837,
pp. 182-196. Springer, Heidelberg (2009)
57. Meilicke, C., Tamilin, A., Stuckenschmidt, H.: Repairing ontology mappings.
In: Proceedings of the Conference on Artificial Intelligence, Vancouver, Canada,
pp. 1408-1413 (2007)
58. Melnik, S., Garcia-Molina, H., Rahm, E.: Similarity flooding: A versatile graph
matching algorithm and its application to schema matching. In: Proceedings of
ICDE, pp. 117-128 (2002)
59. Mendes, P.N., Jakob, M., Bizer, C.: Dbpedia: A multilingual cross-domain knowl-
edge base. In: Proceedings of the Eighth International Conference on Language
Resources and Evaluation (LREC), pp. 1813-1817 (2012)
60. Meza-Ruiz, I., Riedel, S.: Multilingual semantic role labelling with markov logic.
In: Proceedings of the Conference on Computational Natural Language Learning,
pp. 85-90 (2009)
61. Milch, B., Zettlemoyer, L.S., Kersting, K., Haimes, M., Kaelbling, L.P.:
Lifted probabilistic inference with counting formulas. In: Proceedings of AAAI,
pp. 1062-1068 (2008)
62. Mitchell, T.M., Betteridge, J., Carlson, A., Hruschka, E., Wang, R.: Populating
the semantic web by macro-reading internet text. In: Bernstein, A., Karger, D.R.,
Heath, T., Feigenbaum, L., Maynard, D., Motta, E., Thirunarayan, K. (eds.) ISWC
2009. LNCS, vol. 5823, pp. 998-1002. Springer, Heidelberg (2009)
63. Mladenov, M., Ahmadi, B., Kersting, K.: Lifted linear programming. Journal of
Machine Learning Research 22, 788-797 (2012)
64. Niepert, M.: A Delayed Column Generation Strategy for Exact k-Bounded MAP
Inference in Markov Logic Networks. In: Proceedings of the 25th Conference on
Uncertainty in Artificial Intelligence (2010)
