PR-OWL 2.0 - Bridging the gap to OWL semantics

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 7123 LNAI, Issue , 2013, Pages 1-18

  Carvalho, Rommel N ^a   Laskey, Kathryn B ^a   Costa, Paulo C G ^a  

^a GEORGE MASON UNIVERSITY   (United States)

Author keywords

compatibility; MEBN; OWL; PR OWL; probabilistic ontology; Semantic Web; uncertainty reasoning

Indexed keywords

BAYESIAN NETWORKS; BIRDS; COMPLEX NETWORKS; DATA DESCRIPTION;

COMPATIBILITY; MEBN; MULTI-ENTITY BAYESIAN NETWORKS; PROBABILISTIC ONTOLOGIES; UNCERTAINTY REASONING; UNCERTAINTY REPRESENTATION;

SEMANTIC WEB;

EID: 84872870392     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-35975-0_1     Document Type: Conference Paper

References (18)

1. Carvalho, R.N.: Probabilistic Ontology: Representation and Modeling Methodology. PhD, George Mason University, Fairfax, VA, USA (2011)
2. Carvalho, R.N., Laskey, K.B., Costa, P.C.G.: Compatibility formalization between PR-OWL and OWL. In: Proceedings of the First International Workshop on Uncertainty in Description Logics (UniDL) on Federated Logic Conference (FLoC) 2010, Edinburgh, UK (July 2010)
3. Carvalho, R.N., Laskey, K.B., Costa, P.C.G.: PR-OWL 2.0 - Bridging the Gap to OWL Semantics. In: Bobillo, F., Costa, P.C.G., d'Amato, C., Fanizzi, N., Laskey, K.B., Laskey, K.J., Lukasiewicz, T., Nickles, M., Pool, M. (eds.) URSW 2008- 2010/UniDL 2010. LNCS (LNAI), vol. 7123, pp. 1-18. Springer, Heidelberg (2013)
4. Carvalho, R.N., Matsumoto, S., Laskey, K.B., Costa, P.C.G., Ladeira, M., Santos, L.L.: Probabilistic Ontology and Knowledge Fusion for Procurement Fraud Detection in Brazil. In: Bobillo, F., Costa, P.C.G., d'Amato, C., Fanizzi, N., Laskey, K.B., Laskey, K.J., Lukasiewicz, T., Nickles, M., Pool, M. (eds.) URSW 2008- 2010/UniDL 2010. LNCS (LNAI), vol. 7123, pp. 19-40. Springer, Heidelberg (2013)
5. Costa, P.C.G.: Bayesian Semantics for the Semantic Web. PhD, George Mason University, Fairfax, VA, USA (July 2005)
6. Ding, Z., Peng, Y., Pan, R.: BayesOWL: Uncertainty Modeling in Semantic Web Ontologies. In: Ma, Z. (ed.) Soft Computing in Ontologies and Semantic Web. STUDFUZZ, vol. 204, pp. 3-29. Springer, Heidelberg (2006)
7. Hayes, P., Rector, A.: Defining n-ary relations on the semantic web (2006), http://www.w3.org/TR/swbp-n-aryRelations/
8. Heinsohn, J.: Probabilistic description logics. In: Proceedings of the 10th Annual Conference on Uncertainty in Artificial Intelligence, UAI 1994, Seattle, Washington, USA, pp. 311-318. Morgan Kaufmann (1994)
9. Koller, D., Levy, A., Pfeffer, A.: P-CLASSIC: A tractable probabilistic description logic. In: Proceedings of AAAI 1997, pp. 390-397 (1997)
10. Laskey, K.B.: MEBN: A language for First-Order Bayesian knowledge bases. Artificial Intelligence 172(2-3), 140-178 (2008)
11. Laskey, K., Laskey, K.B.: Uncertainty reasoning for the World Wide Web: Report on the URW3-XG incubator group. URW3-XG, W3C (2008)
12. Lukasiewicz, T.: Expressive probabilistic description logics. Artificial Intelligence 172(6-7), 852-883 (2008)
13. Milch, B., Russell, S.: First-Order Probabilistic Languages: Into the Unknown. In: Muggleton, S.H., Otero, R., Tamaddoni-Nezhad, A. (eds.) ILP 2006. LNCS (LNAI), vol. 4455, pp. 10-24. Springer, Heidelberg (2007)
14. Pan, J.Z., Stoilos, G., Stamou, G., Tzouvaras, V., Horrocks, I.: f-SWRL: A Fuzzy Extension of SWRL. In: Spaccapietra, S., Aberer, K., Cudré-Mauroux, P. (eds.) Journal on Data Semantics VI. LNCS, vol. 4090, pp. 28-46. Springer, Heidelberg (2006)
15. Poole, D., Smyth, C., Sharma, R.: Semantic Science: Ontologies, Data and Probabilistic Theories. In: da Costa, P.C.G., d'Amato, C., Fanizzi, N., Laskey, K.B., Laskey, K.J., Lukasiewicz, T., Nickles, M., Pool, M. (eds.) URSW2005-2007. LNCS (LNAI), vol. 5327, pp. 26-40. Springer, Heidelberg (2008)
16. Predoiu, L., Stuckenschmidt, H.: Probabilistic extensions of semantic web languages - a survey. In: The Semantic Web for Knowledge and Data Management: Technologies and Practices. Idea Group Inc. (2008)
17. Straccia, U.: A fuzzy description logic for the semantic web. In: Fuzzy Logic and the Semantic Web, Capturing Intelligence, pp. 167-181. Elsevier (2005)
18. Tao, J., Wen, Z., Hanpin, W., Lifu, W.: PrDLs: A New Kind of Probabilistic Description Logics About Belief. In: Okuno, H.G., Ali, M. (eds.) IEA/AIE 2007. LNCS (LNAI), vol. 4570, pp. 644-654. Springer, Heidelberg (2007)