2023W

• Scientific Research and Writing / 193.052 / SE
• Seminar in Artificial Intelligence: Machine Learning / 192.024 / SE

• Explainable Artificial Intelligence in Healthcare
  2023 – 2027 / AXA
• Game-Theoretic Agent Programming
  2005 – 2008 / Austrian Science Fund (FWF)

2023

• Rationalizing predictions by adversarial information calibration / Sha, L., Camburu, O.-M., & Lukasiewicz, T. (2023). Rationalizing predictions by adversarial information calibration. Artificial Intelligence, 315, 103828. https://doi.org/https://doi.org/10.1016/j.artint.2022.103828

2022

• NoiER: An Approach for Training more Reliable Fine-Tuned Downstream Task Models / Jang, M., & Thomas Lukasiewicz. (2022). NoiER: An Approach for Training more Reliable Fine-Tuned Downstream Task Models. IEEE/ACM Transactions on Audio, Speech and Language Processing, 30, 2514–2525. https://doi.org/10.1109/TASLP.2022.3193292
• (Non-)Convergence Results for Predictive Coding Networks / Frieder, S., & Lukasiewicz, T. (2022). (Non-)Convergence Results for Predictive Coding Networks. In Proceedings of the 39th International Conference on Machine Learning (pp. 6793–6810). http://hdl.handle.net/20.500.12708/187543

2016

• Generalized Consistent Query Answering under Existential Rules / Eiter, T., Lukasiewicz, T., & Predoiu, L. (2016). Generalized Consistent Query Answering under Existential Rules. In J. P. Delgrande & F. Wolter (Eds.), Proceedings, Fifteenth International Conference on Principles of Knowledge Representation and Reasoning (KR 2016) (pp. 359–368). http://hdl.handle.net/20.500.12708/56833

2015

• From Classical to Consistent Query Answering under Existential Rules / Lukasiewicz, T., Martinez, M. V., Pieris, A., & Simari, G. I. (2015). From Classical to Consistent Query Answering under Existential Rules. In Proceedings of the 9th Alberto Mendelzon International Workshop on Foundations of Data Management, Lima, Peru, May 6 - 8, 2015 (p. 6). CEUR Workshop Proceedings. http://hdl.handle.net/20.500.12708/56409
  Project: START (2014–2022)
• From Classical to Consistent Query Answering under Existential Rules / Lukasiewicz, T., Martinez, M. V., Pieris, A., & Simari, G. I. (2015). From Classical to Consistent Query Answering under Existential Rules. In Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence (pp. 1546–1552). AAAI Press. http://hdl.handle.net/20.500.12708/56408
  Project: START (2014–2022)

2012

• Uniform Evaluation of Nonmonotonic DL-Programs / Eiter, T., Krennwallner, T., Schneider, P., & Xiao, G. (2012). Uniform Evaluation of Nonmonotonic DL-Programs. In T. Lukasiewicz & A. Sali (Eds.), Lecture Notes in Computer Science (pp. 1–22). Springer. https://doi.org/10.1007/978-3-642-28472-4_1
  Projects: HEX-Programme (2008–2012) / Hybride Wissensbasen (2008–2012)

2011

• Well-founded semantics for description logic programs in the Semantic Web / Eiter, T., Ianni, G., Lukasiewicz, T., & Schindlauer, R. (2011). Well-founded semantics for description logic programs in the Semantic Web. ACM Transactions on Computational Logic, 12(2), 1–41. https://doi.org/10.1145/1877714.1877717

2010

• Redundancy Elimination on RDF Graphs in the Presence of Rules, Constraints, and Queries / Pichler, R., Polleres, A., Skritek, S., & Woltran, S. (2010). Redundancy Elimination on RDF Graphs in the Presence of Rules, Constraints, and Queries. In P. Hitzler & T. Lukasiewicz (Eds.), Web Reasoning and Rule Systems (pp. 133–148). Lecture Notes/ Springer. https://doi.org/10.1007/978-3-642-15918-3_11
• Tightly coupled fuzzy description logic programs under the answer set semantics for the Semantic Web / Lukasiewicz, T., & Straccia, U. (2010). Tightly coupled fuzzy description logic programs under the answer set semantics for the Semantic Web. In M. Lytras & A. Sheth (Eds.), Progressive Concepts for Semantic Web Evolution: Applications and Developments (pp. 237–256). Information Science Reference. https://doi.org/10.4018/978-1-60566-992-2.ch011
• Semantic search on the Web / Fazzinga, B., & Lukasiewicz, T. (2010). Semantic search on the Web. Semantic Web: Interoperability, Usability, Applicability, 1(1/2), 89–96. http://hdl.handle.net/20.500.12708/167954
• Semantic Web search based on ontological conjunctive queries / Fazzinga, B., Gianforme, G., Gottlob, G., & Lukasiewicz, T. (2010). Semantic Web search based on ontological conjunctive queries. In S. Link & H. Prade (Eds.), Foundations of Information and Knowledge Systems (pp. 153–172). Springer LNCS. https://doi.org/10.1007/978-3-642-11829-6_12
• Combining Semantic Web search with the power of inductive reasoning / d´Amato, C., Fanizzi, N., Fazzinga, B., Gottlob, G., & Lukasiewicz, T. (2010). Combining Semantic Web search with the power of inductive reasoning. In A. Deshpande & A. Hunter (Eds.), Scalable Uncertainty Management (pp. 137–150). Springer LNCS. https://doi.org/10.1007/978-3-642-15951-0_17
• A novel combination of answer set programming with description logics for the Semantic Web / Lukasiewicz, T. (2010). A novel combination of answer set programming with description logics for the Semantic Web. IEEE Transactions on Knowledge and Data Engineering, 22(11), 1577–1592. https://doi.org/10.1109/tkde.2010.111
• Ontological reasoning with F-Logic Lite and its extensions / Cali, A., Gottlob, G., Kifer, M., Lukasiewicz, T., & Pieris, A. (2010). Ontological reasoning with F-Logic Lite and its extensions. In M. Fox & D. Poole (Eds.), Proceedings of the 24th National Conference on Artificial Intelligence (AAAI 2010) (pp. 1660–1665). AAAI Press. http://hdl.handle.net/20.500.12708/53559
• Inductive reasoning and semantic web search / d’Amato, C., Esposito, F., Fanizzi, N., Fazzinga, B., Gottlob, G., & Lukasiewicz, T. (2010). Inductive reasoning and semantic web search. In S. Shin, S. Ossowski, M. Schumacher, M. J. Palakal, & C.-C. Hung (Eds.), Proceedings of the 2010 ACM Symposium on Applied Computing - SAC ’10. ACM. https://doi.org/10.1145/1774088.1774397
• Datalog+/-: A Family of Logical Knowledge Representation and Query Languages for New Applications / Calì, A., Gottlob, G., Lukasiewicz, T., Marnette, B., & Pieris, A. (2010). Datalog+/-: A Family of Logical Knowledge Representation and Query Languages for New Applications. In J.-P. Jouannaud (Ed.), 2010 25th Annual IEEE Symposium on Logic in Computer Science. IEEE Computer Society. https://doi.org/10.1109/lics.2010.27
• Proceedings of the 6th International Workshop on Uncertainty Reasoning for the Semantic Web (URSW 2010) / Proceedings of the 6th International Workshop on Uncertainty Reasoning for the Semantic Web (URSW 2010). (2010). In F. Bobillo, R. Carvalho, P. C. G. da Costa, C. d´Amato, N. Fanizzi, K. B. Laskey, K. J. Laskey, T. Lukasiewicz, T. Martin, M. Nickles, & M. Pool (Eds.), CEUR Workshop Proceedings. CEUR-Proceedings. http://hdl.handle.net/20.500.12708/23242
• Proceedings of the 1st International Workshop on Uncertainty in Description Logics (UniDL 2010) / Proceedings of the 1st International Workshop on Uncertainty in Description Logics (UniDL 2010). (2010). In T. Lukasiewicz, R. Penaloza, & A.-Y. Turhan (Eds.), CEUR Workshop Proceedings. CEUR-Proceedings. http://hdl.handle.net/20.500.12708/23206
• Datalog extensions for tractable query answering over ontologies / Cali, A., Gottlob, G., & Lukasiewicz, T. (2010). Datalog extensions for tractable query answering over ontologies. In R. De Virgilio, F. Giunchiglia, & L. Tanca (Eds.), Semantic Web Information Management: A Model-Based Perspective (pp. 249–279). Springer. http://hdl.handle.net/20.500.12708/27045

2009

• Uncertainty Reasoning for the Semantic Web / Lukasiewicz, T. (2009). Uncertainty Reasoning for the Semantic Web. In A. F. Polleres & T. Swift (Eds.), Web Reasoning and Rule Systems (pp. 26–39). Springer Lecture Notes in Computer Science. https://doi.org/10.1007/978-3-642-05082-4_3
• Reasoning about Actions with Sensing under Qualitative and Probabilistic Uncertainty / Iocchi, L., Lukasiewicz, T., Nardi, D., & Rosati, R. (2009). Reasoning about Actions with Sensing under Qualitative and Probabilistic Uncertainty. ACM Transactions on Computational Logic, 10(1), 1–41. https://doi.org/10.1145/1459010.1459015
• Tightly Coupled Probabilistic Description Logic Programs for the Semantic Web / Cali, A., Lukasiewicz, T., Predoiu, L., & Stuckenschmidt, H. (2009). Tightly Coupled Probabilistic Description Logic Programs for the Semantic Web. Lecture Notes in Computer Science. https://doi.org/10.1007/978-3-642-00685-2
• Description Logic Programs under Probabilistic Uncertainty and Fuzzy Vagueness / Lukasiewicz, T., & Straccia, U. (2009). Description Logic Programs under Probabilistic Uncertainty and Fuzzy Vagueness. International Journal of Approximate Reasoning: Uncertainty in Intelligent Systems, 50(6), 837–853. https://doi.org/10.1016/j.ijar.2009.03.004
• Combining Semantic Web Search with the Power of Inductive Reasoning / d´Amato, C., Fanizzi, N., Fazzinga, B., Gottlob, G., & Lukasiewicz, T. (2009). Combining Semantic Web Search with the Power of Inductive Reasoning. In F. Bobillo, P. C. G. da Costa, C. d´Amato, N. Fanizzi, K. B. Laskey, K. J. Laskey, T. Lukasiewicz, T. Martin, M. Nickles, M. Pool, & P. Smrz (Eds.), Proceedings of the Fifth International Workshop on Uncertainty Reasoning for the Semantic Web (URSW 2009) (pp. 15–26). CEUR-Proceedings. http://hdl.handle.net/20.500.12708/53024
• Inductive Query Answering and Concept Retrieval Exploiting Local Models / d’Amato, C., Fanizzi, N., Esposito, F., & Lukasiewicz, T. (2009). Inductive Query Answering and Concept Retrieval Exploiting Local Models. In B. Lazzerini, L. Jain, A. Abraham, F. Marcelloni, F. Herrera, & V. Loia (Eds.), 2009 Ninth International Conference on Intelligent Systems Design and Applications. IEEE Computer Society. https://doi.org/10.1109/isda.2009.34
• Approximate Classification of Semantically Annotated Web Resources Exploiting Pseudo-metrics Induced by Local Models / d´Amato, C., Fanizzi, N., Esposito, F., & Lukasiewicz, T. (2009). Approximate Classification of Semantically Annotated Web Resources Exploiting Pseudo-metrics Induced by Local Models. In R. Baeza-Yates, B. Berendt, E. Bertino, E.-P. Lim, & G. Pasi (Eds.), Proceedings of the 2009 IEEE/WIC/ACM International Conference on Web Intelligence (WI 2009) (pp. 689–692). IEEE Computer Society. http://hdl.handle.net/20.500.12708/53042
• Combining Boolean Games with the Power of Ontologies for Automated Multi-Attribute Negotiation in the Semantic Web / Lukasiewicz, T., & Ragone, A. (2009). Combining Boolean Games with the Power of Ontologies for Automated Multi-Attribute Negotiation in the Semantic Web. In R. Baeza-Yates, J. Lang, S. Mitra, S. Parsons, & G. Pasi (Eds.), Proceedings of the 2009 IEEE/WIC/ACM International Conference on Intelligent Agent Technology (IAT 2009) (pp. 395–402). IEEE. http://hdl.handle.net/20.500.12708/53041
• A Combination of Boolean Games with Description Logics for Automated Multi-Attribute Negotiation / Lukasiewicz, T., & Ragone, A. (2009). A Combination of Boolean Games with Description Logics for Automated Multi-Attribute Negotiation. In B. Cuenca Grau, I. Horrocks, B. Motik, & U. Sattler (Eds.), Proceedings of the 22nd International Workshop on Description Logics (DL 2009) (pp. 47:1-47:12). CEUR workshop proceedings. http://hdl.handle.net/20.500.12708/53040
• Tractable Query Answering over Ontologies with Datalog+- / Cali, A., Gottlob, G., & Lukasiewicz, T. (2009). Tractable Query Answering over Ontologies with Datalog+-. In B. Cuenca Grau, I. Horrocks, B. Motik, & U. Sattler (Eds.), Proceedings of the 22nd International Workshop on Description Logics (DL 2009) (pp. 46:1-46:12). CEUR workshop proceedings. http://hdl.handle.net/20.500.12708/53039
• Uncertainty in the Semantic Web / Lukasiewicz, T. (2009). Uncertainty in the Semantic Web. In L. Godo & A. Pugliese (Eds.), Lecture Notes in Computer Science (pp. 2–11). Springer Lecture Notes in Computer Science. https://doi.org/10.1007/978-3-642-04388-8_2
• A general datalog-based framework for tractable query answering over ontologies / Calì, A., Gottlob, G., & Lukasiewicz, T. (2009). A general datalog-based framework for tractable query answering over ontologies. In J. Paredaens & S. Jianwen (Eds.), Proceedings of the twenty-eighth ACM SIGMOD-SIGACT-SIGART symposium on Principles of database systems - PODS ’09. ACM Press. https://doi.org/10.1145/1559795.1559809
• A General Datalog-Based Framework for Tractable Query Answering over Ontologies / Cali, A., Gottlob, G., & Lukasiewicz, T. (2009). A General Datalog-Based Framework for Tractable Query Answering over Ontologies. In V. De Antonellis, S. Castano, B. Catania, & G. Guerrini (Eds.), Proceedings of the 17th Italian Symposium on Advanced Database Systems (SEBD 2009) (pp. 29–36). Seneca Edizioni. http://hdl.handle.net/20.500.12708/53032
• Datalog±: A Unified Approach to Ontologies and Integrity Constraints / Cali, A., Gottlob, G., & Lukasiewicz, T. (2009). Datalog±: A Unified Approach to Ontologies and Integrity Constraints. In V. De Antonellis, S. Castano, B. Catania, & G. Guerrini (Eds.), Proceedings of the 17th Italian Symposium on Advanced Database Systems (SEBD 2009) (pp. 5–6). Seneca Edizioni. http://hdl.handle.net/20.500.12708/53031
• Datalog±: A Unified Approach to Ontologies and Integrity Constraints / Cali, A., Gottlob, G., & Lukasiewicz, T. (2009). Datalog±: A Unified Approach to Ontologies and Integrity Constraints. In R. Fagin (Ed.), Proceedings of the 12th International Conference on Database Theory (ICDT 2009) (pp. 14–30). ACM International Conference Proceeding Series. http://hdl.handle.net/20.500.12708/53030
• Well-Founded Semantics for Description Logic Programs in the Semantic Web / Eiter, T., Ianni, G., Lukasiewicz, T., & Schindlauer, R. (2009). Well-Founded Semantics for Description Logic Programs in the Semantic Web (INFSYS RR 1843-09-01). http://hdl.handle.net/20.500.12708/36178
  Projects: HEX-Programme (2008–2012) / Hybride Wissensbasen (2008–2012)
• Proceedings of the Fifth International Workshop on Uncertainty Reasoning for the Semantic Web (URSW 2009) / Proceedings of the Fifth International Workshop on Uncertainty Reasoning for the Semantic Web (URSW 2009). (2009). In F. Bobillo, P. C. G. da Costa, C. d´Amato, N. Fanizzi, K. B. Laskey, K. J. Laskey, T. Lukasiewicz, T. Martin, M. Nickles, M. Pool, & P. Smrz (Eds.), CEUR Workshop Proceedings. CEUR-Proceedings. http://hdl.handle.net/20.500.12708/23033
• Hybrid Reasoning with Rules and Ontologies / Drabent, W., Eiter, T., Ianni, G., Krennwallner, T., Lukasiewicz, T., & Maluszynski, J. (2009). Hybrid Reasoning with Rules and Ontologies. In F. Bry & J. Maluszynski (Eds.), Semantic Techniques for the Web (pp. 1–49). Springer. https://doi.org/10.1007/978-3-642-04581-3_1
  Projects: HEX-Programme (2008–2012) / Hybride Wissensbasen (2008–2012) / IncMan (2009–2012)

2008

• Logical approaches to imprecise probabilities / Lukasiewicz, T. (2008). Logical approaches to imprecise probabilities. International Journal of Approximate Reasoning, 49(1), 1–2. https://doi.org/10.1016/j.ijar.2007.08.004
• Fuzzy Description Logic Programs under the Answer Set Semantics for the Semantic Web / Lukasiewicz, T. (2008). Fuzzy Description Logic Programs under the Answer Set Semantics for the Semantic Web. Fundamenta Informaticae, 82(3), 289–310. http://hdl.handle.net/20.500.12708/170864
• Using Search Strategies and a Description Logic Paradigm with Conditional Preferences for Literature Search / Schellhase, J., & Lukasiewicz, T. (2008). Using Search Strategies and a Description Logic Paradigm with Conditional Preferences for Literature Search. International Journal of Metadata, Semantics and Ontologies, 3(1), 68. https://doi.org/10.1504/ijmso.2008.021206
• Tightly Coupled Fuzzy Description Logic Programs under the Answer Set Semantics for the Semantic Web / Lukasiewicz, T., & Straccia, U. (2008). Tightly Coupled Fuzzy Description Logic Programs under the Answer Set Semantics for the Semantic Web. International Journal on Semantic Web and Information Systems, 4(3), 68–89. http://hdl.handle.net/20.500.12708/170863
• Expressive Probabilistic Description Logics / Lukasiewicz, T. (2008). Expressive Probabilistic Description Logics. Artificial Intelligence, 172(6–7), 852–883. https://doi.org/10.1016/j.artint.2007.10.017
• Combining Answer Set Programming with Description Logics for the Semantic Web / Eiter, T., Ianni, G., Lukasiewicz, T., Schindlauer, R., & Tompits, H. (2008). Combining Answer Set Programming with Description Logics for the Semantic Web. Artificial Intelligence, 172(12–13), 1495–1539. https://doi.org/10.1016/j.artint.2008.04.002
• Probabilistic Description Logic Programs under Inheritance with Overriding for the Semantic Web / Lukasiewicz, T. (2008). Probabilistic Description Logic Programs under Inheritance with Overriding for the Semantic Web. International Journal of Approximate Reasoning: Uncertainty in Intelligent Systems, 49(1), 18–34. https://doi.org/10.1016/j.ijar.2007.08.005
• Managing Uncertainty and Vagueness in Description Logics for the Semantic Web / Lukasiewicz, T., & Straccia, U. (2008). Managing Uncertainty and Vagueness in Description Logics for the Semantic Web. Journal of Web Semantics, 6(4), 291–308. https://doi.org/10.1016/j.websem.2008.04.001
• Uncertainty Reasoning for the Semantic Web I / da Costa, P. C. G., d´Amato, C., Fanizzi, N., Laskey, K. B., Laskey, K. J., Lukasiewicz, T., Nickles, M., & Pool, M. (Eds.). (2008). Uncertainty Reasoning for the Semantic Web I. Springer LNCS. https://doi.org/10.1007/978-3-540-89765-1
• Scalable Uncertainty Management / Greco, S., & Lukasiewicz, T. (Eds.). (2008). Scalable Uncertainty Management. Springer, LNCS. https://doi.org/10.1007/978-3-540-87993-0
• Tightly Integrated Probabilistic Description Logic Programs for Representing Ontology Mappings / Cali, A., Lukasiewicz, T., Predoiu, L., & Stuckenschmidt, H. (2008). Tightly Integrated Probabilistic Description Logic Programs for Representing Ontology Mappings. In S. Hartmann & G. Kern-Isberner (Eds.), Proceedings of the 5th International Symposium on Foundations of Information and Knowledge Systems (FoIKS 2008) (pp. 178–198). Springer LNCS. http://hdl.handle.net/20.500.12708/52570
• Representing Ontology Mappings with Probabilistic Description Logic Programs / Cali, A., Lukasiewicz, T., Predoiu, L., & Stuckenschmidt, H. (2008). Representing Ontology Mappings with Probabilistic Description Logic Programs. In Proceedings of the 16th Italian Symposium on Advanced Database Systems (SEBD 2008) (pp. 438–445). http://hdl.handle.net/20.500.12708/52568
• Representing Uncertain Concepts in Rough Description Logics via Contextual Indiscernibility Relations / Fanizzi, N., d´Amato, C., Esposito, F., & Lukasiewicz, T. (2008). Representing Uncertain Concepts in Rough Description Logics via Contextual Indiscernibility Relations. In F. Bobillo, P. C. G. da Costa, C. d´Amato, N. Fanizzi, K. B. Laskey, K. J. Laskey, & T. Lukasiewicz (Eds.), Proceedings of the 4th International Workshop on Uncertainty Reasoning for the Semantic Web (URSW 2008) (p. 10). CEUR Workshop Proceedings. http://hdl.handle.net/20.500.12708/52565
• Combining Boolean Games with the Power of Ontologies for Automated Multi-Attribute Negotiation in the Semantic Web (SMRR) / Lukasiewicz, T., & Ragone, A. (2008). Combining Boolean Games with the Power of Ontologies for Automated Multi-Attribute Negotiation in the Semantic Web (SMRR). In R. Lara Hernandez, T. Di Noia, & I. Toma (Eds.), Proceedings of the 2nd International Workshop on Service Matchmaking and Resource Retrieval in the Semantic Web (SMRR 2008) (p. 15). CEUR Workshop Proceedings. http://hdl.handle.net/20.500.12708/52564
• Tractable Reasoning with Bayesian Description Logics / d’Amato, C., Fanizzi, N., & Lukasiewicz, T. (2008). Tractable Reasoning with Bayesian Description Logics. In S. Greco & T. Lukasiewicz (Eds.), Lecture Notes in Computer Science (pp. 146–159). Lecture Notes in Computer Science, Springer. https://doi.org/10.1007/978-3-540-87993-0_13
• From Web Search to Semantic Web Search / Fazzinga, B., Gianforme, G., Gottlob, G., & Lukasiewicz, T. (2008). From Web Search to Semantic Web Search (INFSYS RR-1843-08-11). http://hdl.handle.net/20.500.12708/35362
• "Combining Boolean Games with the Power of Ontologies for Automated Multi-Attribute Negotiation in the Semantic Web / Lukasiewicz, T., & Ragone, A. (2008). "Combining Boolean Games with the Power of Ontologies for Automated Multi-Attribute Negotiation in the Semantic Web (INFSYS RR-1843-08-08). http://hdl.handle.net/20.500.12708/35360
• Adaptive Game-Theoretic Agent Programming in Golog / Finzi, A., & Lukasiewicz, T. (2008). Adaptive Game-Theoretic Agent Programming in Golog (INFSYS RR-1843-08-07). http://hdl.handle.net/20.500.12708/35359
• Team Programming in Golog under Partial Observability / Farinelli, A., Finzi, A., & Lukasiewicz, T. (2008). Team Programming in Golog under Partial Observability (INFSYS RR-1843-08-04). http://hdl.handle.net/20.500.12708/35356
• Proceedings of the 4th International Workshop on Uncertainty Reasoning for the Semantic Web (URSW 2008). Volume 423 of CEUR Workshop Proceedings / Proceedings of the 4th International Workshop on Uncertainty Reasoning for the Semantic Web (URSW 2008). Volume 423 of CEUR Workshop Proceedings. (2008). In F. Bobillo, P. C. G. da Costa, C. d´Amato, N. Fanizzi, K. B. Laskey, K. J. Laskey, T. Lukasiewicz, T. Martin, M. Nickles, M. Pool, & P. Smrz (Eds.), CEUR Workshop Proceedings. CEUR-WS.org. http://hdl.handle.net/20.500.12708/22812
• Uncertainty Representation and Reasoning in the Semantic Web / da Costa, P. C. G., Laskey, K. B., & Lukasiewicz, T. (2008). Uncertainty Representation and Reasoning in the Semantic Web. In J. Cardoso & M. Lytras (Eds.), Semantic Web Engineering in the Knowledge Society (pp. 315–340). Information Science Reference. http://hdl.handle.net/20.500.12708/26220
• An Approach to Probabilistic Data Integration for the Semantic Web / Calì, A., & Lukasiewicz, T. (2008). An Approach to Probabilistic Data Integration for the Semantic Web. In P. C. G. da Costa, C. d´Amato, N. Fanizzi, K. B. Laskey, K. J. Laskey, T. Lukasiewicz, M. Nickles, & M. Pool (Eds.), Lecture Notes in Computer Science (pp. 52–65). Springer LNCS. https://doi.org/10.1007/978-3-540-89765-1_4
• Rule-Based Approaches for Representing Probabilistic Ontology Mappings / Calì, A., Lukasiewicz, T., Predoiu, L., & Stuckenschmidt, H. (2008). Rule-Based Approaches for Representing Probabilistic Ontology Mappings. In P. C. G. da Costa, C. d´Amato, N. Fanizzi, K. B. Laskey, K. J. Laskey, T. Lukasiewicz, M. Nickles, & M. Pool (Eds.), Lecture Notes in Computer Science (pp. 66–87). Springer LNCS. https://doi.org/10.1007/978-3-540-89765-1_5

2007

• Reasoning with imprecise probabilities / Cano, A., Cozman, F. G., & Lukasiewicz, T. (2007). Reasoning with imprecise probabilities. International Journal of Approximate Reasoning, 44(3), 197–199. https://doi.org/10.1016/j.ijar.2006.09.001
• Nonmonotonic Probabilistic Logics under Variable-Strength Inheritance with Overriding: Complexity, Algorithms, and Implementation. / Lukasiewicz, T. (2007). Nonmonotonic Probabilistic Logics under Variable-Strength Inheritance with Overriding: Complexity, Algorithms, and Implementation. International Journal of Approximate Reasoning: Uncertainty in Intelligent Systems, 44(3), 301–321. https://doi.org/10.1016/j.ijar.2006.07.015
• Probabilistic Description Logic Programs / Lukasiewicz, T. (2007). Probabilistic Description Logic Programs. International Journal of Approximate Reasoning: Uncertainty in Intelligent Systems, 45(2), 288–307. https://doi.org/10.1016/j.ijar.2006.06.012
• Variable-Strength Conditional Preferences for Ranking Objects in Ontologies / Lukasiewicz, T., & Schellhase, J. (2007). Variable-Strength Conditional Preferences for Ranking Objects in Ontologies. Journal of Web Semantics, 5(3), 180–194. https://doi.org/10.1016/j.websem.2007.06.001
• Tutorial on Managing Uncertainty and Vagueness in Semantic Web Languages / Lukasiewicz, T., & Straccia, U. (2007). Tutorial on Managing Uncertainty and Vagueness in Semantic Web Languages. 4th European Semantic Web Conference (ESWC 2007), Innsbruck, Österreich, Austria. http://hdl.handle.net/20.500.12708/84626
• Tutorial on Managing Uncertainty and Vagueness in Semantic Web Languages / Lukasiewicz, T., & Straccia, U. (2007). Tutorial on Managing Uncertainty and Vagueness in Semantic Web Languages. National Conference on Artificial Intelligence (AAAI), Pittsburgh, Pennsylvania, USA, Austria. http://hdl.handle.net/20.500.12708/84627
• Team Programming in Golog under Partial Observability / Farinelli, A., Finzi, A., & Lukasiewicz, T. (2007). Team Programming in Golog under Partial Observability. In M. Veloso (Ed.), Proceedings of the 20th International Joint Conference on Artificial Intelligence (IJCAI 2007) (pp. 2097–2102). AAAI Press/IJCAI. http://hdl.handle.net/20.500.12708/51959
• Tightly Integrated Fuzzy Description Logic Programs Under the Answer Set Semantics for the Semantic Web / Lukasiewicz, T., & Straccia, U. (2007). Tightly Integrated Fuzzy Description Logic Programs Under the Answer Set Semantics for the Semantic Web. In M. Marchiori, J. Z. Pan, & C. de Sainte Marie (Eds.), Web Reasoning and Rule Systems (pp. 289–298). Springer Lecture Notes in Computer Science. https://doi.org/10.1007/978-3-540-72982-2_23
• A Novel Combination of Answer Set Programming with Description Logics for the Semantic Web / Lukasiewicz, T. (2007). A Novel Combination of Answer Set Programming with Description Logics for the Semantic Web. In E. Franconi, M. Kifer, & W. May (Eds.), Lecture Notes in Computer Science (pp. 384–398). Springer Lecture Notes in Computer Science. https://doi.org/10.1007/978-3-540-72667-8_28
• Tightly Integrated Probabilistic Description Logic Programs for the Semantic Web / Calì, A., & Lukasiewicz, T. (2007). Tightly Integrated Probabilistic Description Logic Programs for the Semantic Web. In V. Dahl & I. Niemelä (Eds.), Logic Programming (pp. 428–429). Springer Lecture Notes in Computer Science. https://doi.org/10.1007/978-3-540-74610-2_30
• Top-k Retrieval in Description Logic Programs Under Vagueness for the Semantic Web / Lukasiewicz, T., & Straccia, U. (2007). Top-k Retrieval in Description Logic Programs Under Vagueness for the Semantic Web. In H. Prade & V. S. Subrahmanian (Eds.), Lecture Notes in Computer Science (pp. 16–30). Springer Lecture Notes in Computer Science. https://doi.org/10.1007/978-3-540-75410-7_2
• Tractable Probabilistic Description Logic Programs / Lukasiewicz, T. (2007). Tractable Probabilistic Description Logic Programs. In H. Prade & V. S. Subrahmanian (Eds.), Lecture Notes in Computer Science (pp. 143–156). Springer Lecture Notes in Artificial Intelligence. https://doi.org/10.1007/978-3-540-75410-7_11
• Description Logic Programs Under Probabilistic Uncertainty and Fuzzy Vagueness / Lukasiewicz, T., & Straccia, U. (2007). Description Logic Programs Under Probabilistic Uncertainty and Fuzzy Vagueness. In K. Mellouli (Ed.), Lecture Notes in Computer Science (pp. 187–198). Springer Lecture Notes in Computer Science. https://doi.org/10.1007/978-3-540-75256-1_19
• A Framework for Representing Ontology Mappings under Probabilities and Inconsistency / Cali, A., Lukasiewicz, T., Prodoiu, L., & Stuckenschmidt, H. (2007). A Framework for Representing Ontology Mappings under Probabilities and Inconsistency. In F. Bobillo, P. Costa, C. d´Amato, N. Fanizzi, F. Fung, T. Lukasiewicz, & T. Martin (Eds.), Proceedings of the ISWC-2007 Workshop on Uncertainty Reasoning for the Semantic Web (URSW 2007). CEUR Workshop Proceedings. http://hdl.handle.net/20.500.12708/51952
• Tightly Integrated Probabilistic Description Logic Programs. / Cali, A., & Lukasiewicz, T. (2007). Tightly Integrated Probabilistic Description Logic Programs. (INFSYS RR-1843-07-05). http://hdl.handle.net/20.500.12708/33095
• Uncertainty and Vagueness in Description Logic Programs for the Semantic Web / Lukasiewicz, T., & Straccia, U. (2007). Uncertainty and Vagueness in Description Logic Programs for the Semantic Web (INFSYS RR 1843-07-02). http://hdl.handle.net/20.500.12708/33096
• Tightly Integrated Fuzzy Description Logic Programs under the Answer Set Semantics for the Semantic Web / Lukasiewicz, T., & Straccia, U. (2007). Tightly Integrated Fuzzy Description Logic Programs under the Answer Set Semantics for the Semantic Web (INFSYS RR 1843-07-03). http://hdl.handle.net/20.500.12708/33094
• Variable-Strength Conditional Preferences for Ranking Objects in Ontologies / Lukasiewicz, T., & Schellhase, J. (2007). Variable-Strength Conditional Preferences for Ranking Objects in Ontologies (INFSYS RR-1843-07-06). http://hdl.handle.net/20.500.12708/33093
• Combining Answer Set Programming with Description Logics for the Semantic Web / Eiter, T., Ianni, G., Lukasiewicz, T., Schindlauer, R., & Tompits, H. (2007). Combining Answer Set Programming with Description Logics for the Semantic Web (INFSYS RR-1843-07-04). http://hdl.handle.net/20.500.12708/33092
• Proceedings of the ISWC-2007 Workshop on Uncertainty Reasoning for the Semantic Web (URSW 2007). / Proceedings of the ISWC-2007 Workshop on Uncertainty Reasoning for the Semantic Web (URSW 2007). (2007). In F. Bobillo, P. Costa, N. Fanizzi, F. Fung, T. Lukasiewicz, T. Martin, M. Nickles, Y. Peng, M. Pool, P. Smrz, & P. Vojt (Eds.), CEUR Workshop Proceedings. CEUR-Proceedings. http://hdl.handle.net/20.500.12708/22349

2006

• Causes and Explanations in the Structural-Model Approach: Tractable Cases / Eiter, T., & Lukasiewicz, T. (2006). Causes and Explanations in the Structural-Model Approach: Tractable Cases. Artificial Intelligence, 170(6–7), 542–580. http://hdl.handle.net/20.500.12708/173415
• An Approach to Probabilistic Data Integration for the Semantic Web / Cali, A., & Lukasiewicz, T. (2006). An Approach to Probabilistic Data Integration for the Semantic Web. In P. C. G. da Costa, K. B. Laskey, K. J. Laskey, F. Fung, & M. Pool (Eds.), Proceedings of the ISWC-2006 Workshop on Uncertainty Reasoning for the Semantic Web (URSW 2006) (pp. 67–68). CEUR Workshop Proceedings. http://hdl.handle.net/20.500.12708/51718
• Variable-Strength Conditional Preferences for Ranking Objects in Ontologies / Lukasiewicz, T., & Schellhase, J. (2006). Variable-Strength Conditional Preferences for Ranking Objects in Ontologies. In Y. Sure & J. Domingue (Eds.), Proceedings of the 3rd European Semantic Web Conference (ESWC 2006), Budva, Montenegro, June 2006 (pp. 288–302). Lecture Notes in Computer Science. Springer. http://hdl.handle.net/20.500.12708/51712
• Preferences, Links, and Probabilities for Ranking Objects in Ontologies / Lukasiewicz, T., & Schellhase, J. (2006). Preferences, Links, and Probabilities for Ranking Objects in Ontologies. In P. C. G. da Costa, K. B. Laskey, K. J. Laskey, F. Fung, & M. Pool (Eds.), Proceedings of the ISWC-2006 Workshop on Uncertainty Reasoning for the Semantic Web (URSW 2006) (pp. 65–66). CEUR Workshop Proceedings. http://hdl.handle.net/20.500.12708/51719
• Fuzzy Description Logic Programs under the Answer Set Semantics for the Semantic Web / Lukasiewicz, T. (2006). Fuzzy Description Logic Programs under the Answer Set Semantics for the Semantic Web. In T. Eiter, E. Franconi, R. Hodgson, & S. Stephens (Eds.), Proceedings of the 2nd International Conference on Rules and Rule Markup Languages for the Semantic Web (RuleML 2006) (pp. 89–96). IEEE Computer Society. http://hdl.handle.net/20.500.12708/51717
• Adaptive Multi-Agent Programming in GTGolog / Finzi, A., & Lukasiewicz, T. (2006). Adaptive Multi-Agent Programming in GTGolog. In G. Brewka, S. Coradeschi, A. Perini, & P. Traverso (Eds.), Proceedings of the 17th biennial European Conference on Artificial Intelligence (ECAI 2006) (pp. 753–754). IOS Press. http://hdl.handle.net/20.500.12708/51716
• Game-Theoretic Agent Programming in Golog under Partial Observability / Finzi, A., & Lukasiewicz, T. (2006). Game-Theoretic Agent Programming in Golog under Partial Observability. In C. Freksa, M. Kohlhase, & K. Schill (Eds.), Proceedings of the 29th Annual German Conference on Artificial Intelligence (KI 2006), Bremen, Germany, June 2006. (pp. 113–127). Lecture Notes in Computer Science, Springer. http://hdl.handle.net/20.500.12708/51715
• Adaptive Multi-Agent Programming in GTGolog / Finzi, A., & Lukasiewicz, T. (2006). Adaptive Multi-Agent Programming in GTGolog. In C. Freksa, M. Kohlhase, & K. Schill (Eds.), Proceedings of the 29th Annual German Conference on Artificial Intelligence (KI 2006), Bremen, Germany, June 2006. (pp. 389–403). Lecture Notes in Computer Science. Springer. http://hdl.handle.net/20.500.12708/51714
• Variable-Strength Conditional Preferences for Matchmaking in Description Logics / Lukasiewicz, T., & Schellhase, J. (2006). Variable-Strength Conditional Preferences for Matchmaking in Description Logics. In P. Doherty, J. Mylopoulos, & C. Welty (Eds.), Proceedings of the 10th International Conference on Principles of Knowledge Representation and Reasoning (KR 2006), Lake District, UK, June 2006. (pp. 164–174). AAAI Press. http://hdl.handle.net/20.500.12708/51713
• A novel combination of answer set programming with description logics for the Semantic Web / Lukasiewicz, T. (2006). A novel combination of answer set programming with description logics for the Semantic Web (INFSYS RR-1843-06-08). http://hdl.handle.net/20.500.12708/33073
• An Overview of Uncertainty and Vagueness in Description Logics for the Semantic Web / Lukasiewicz, T., & Straccia, U. (2006). An Overview of Uncertainty and Vagueness in Description Logics for the Semantic Web (INFSYS RR-1843-06-07). http://hdl.handle.net/20.500.12708/33072
• Probabilistic Description Logics for the Semantic Web / Lukasiewicz, T. (2006). Probabilistic Description Logics for the Semantic Web (INFSYS RR-1843-06-05). http://hdl.handle.net/20.500.12708/33071
• Probabilistic Description Logic Programs / Lukasiewicz, T. (2006). Probabilistic Description Logic Programs (INFSYS RR-1843-06-04). http://hdl.handle.net/20.500.12708/33070

2005

• Nonmonotonic Probabilistic Reasoning under Variable-Strength Inheritance with Overriding / Lukasiewicz, T. (2005). Nonmonotonic Probabilistic Reasoning under Variable-Strength Inheritance with Overriding. Synthese, 146(1–2), 153–169. http://hdl.handle.net/20.500.12708/173382
• Probabilistic Logic under Coherence: Complexity and Algorithms / Biazzo, V., Gilio, A., Lukasiewicz, T., & Sanfilippo, G. (2005). Probabilistic Logic under Coherence: Complexity and Algorithms. Annals of Mathematics and Artificial Intelligence, ONLINE FIRST(Online First). http://hdl.handle.net/20.500.12708/173380
• Weak Nonmonotonic Probabilistic Logics / Lukasiewicz, T. (2005). Weak Nonmonotonic Probabilistic Logics. Artificial Intelligence, 168(1–2), 119–161. http://hdl.handle.net/20.500.12708/173381
• Nonmonotonic Probabilistic Logics under Variable-Strength Inheritance with Overriding: Algorithms and Implementation in NMPROBLOG / Lukasiewicz, T. (2005). Nonmonotonic Probabilistic Logics under Variable-Strength Inheritance with Overriding: Algorithms and Implementation in NMPROBLOG. In Proceedings of the 4th International Symposium on Imprecise Probabilities and Their Applications (ISIPTA 2005) (pp. 230–239). CMU. http://hdl.handle.net/20.500.12708/51341
• Game-Theoretic Golog under Partial Observability / Finzi, A., & Lukasiewicz, T. (2005). Game-Theoretic Golog under Partial Observability. In F. Dignum, V. Dignum, S. Koenig, & S. Kraus (Eds.), Proceedings of the 4th International Joint Conference on Autonomous Agents and Multiagent Systems (AAMAS 2005) (pp. 1301–1302). ACM Press. http://hdl.handle.net/20.500.12708/51340
• Probabilistic Description Logic Programs / Lukasiewicz, T. (2005). Probabilistic Description Logic Programs. In L. Godo (Ed.), Proceedings of the 8th European Conference on Symbolic and Quantitative Approaches to Reasoning with Uncertainty (ECSQARU 2005) (pp. 737–749). Springer. http://hdl.handle.net/20.500.12708/51339
• Game-Theoretic Reasoning About Actions in Nonmonotonic Causal Theories / Finzi, A., & Lukasiewicz, T. (2005). Game-Theoretic Reasoning About Actions in Nonmonotonic Causal Theories. In C. Baral, G. Greco, & N. Leone (Eds.), Proceedings of the 8th International Conference on Logic Programming and Nonmonotonic Reasoning (LPNMR 2005) (pp. 185–197). Springer. http://hdl.handle.net/20.500.12708/51308
• Game-Theoretic Agent Programming in Golog under Partial Observability / Finzi, A., & Lukasiewicz, T. (2005). Game-Theoretic Agent Programming in Golog under Partial Observability. In P. Gmytrasiewicz & S. Parsons (Eds.), Working Notes of IJCAI-05 Workshop on Game Theoretic and Decision Theoretic Agents (GTDT 2005). http://hdl.handle.net/20.500.12708/51343
• Stratified Probabilistic Description Logic Programs / Lukasiewicz, T. (2005). Stratified Probabilistic Description Logic Programs. In P. C. G. da Costa, K. B. Laskey, & K. J. Laskey (Eds.), Proceedings of the ISWC-2005 Workshop on Uncertainty Reasoning for the Semantic Web (URSW 2005) (pp. 87–97). http://hdl.handle.net/20.500.12708/51342
• Nonmonotonic Probabilistic Logics under Variable-Strength Inheritance with Overriding: Algorithms and Implementation in NMPROBLOG / Lukasiewicz, T. (2005). Nonmonotonic Probabilistic Logics under Variable-Strength Inheritance with Overriding: Algorithms and Implementation in NMPROBLOG. http://hdl.handle.net/20.500.12708/33047
• Game-Theoretic Reasoning about Actions in Nonmonotonic Causal Theories / Finzi, A., & Lukasiewicz, T. (2005). Game-Theoretic Reasoning about Actions in Nonmonotonic Causal Theories. http://hdl.handle.net/20.500.12708/33048
• Game-Theoretic Golog under Partial Observability / Finzi, A., & Lukasiewicz, T. (2005). Game-Theoretic Golog under Partial Observability. http://hdl.handle.net/20.500.12708/33046
• Variable-Strength Conditional Preferences for Matchmaking in Description Logics / Lukasiewicz, T., & Schellhase, J. (2005). Variable-Strength Conditional Preferences for Matchmaking in Description Logics. http://hdl.handle.net/20.500.12708/33053

2004

• Game-Theoretic Agent Programming in Golog / Finzi, A., & Lukasiewicz, T. (2004). Game-Theoretic Agent Programming in Golog. http://hdl.handle.net/20.500.12708/32946

2003

• Combining Answer Set Programming with Description Logics for the Semantic Web / Eiter, T., Lukasiewicz, T., Schindlauer, R., & Tompits, H. (2003). Combining Answer Set Programming with Description Logics for the Semantic Web. http://hdl.handle.net/20.500.12708/32933

2002

• Causes and Explanations in the Structural-Model Approach: Tractable Cases (INFSYS RR-1843-02-03) / Eiter, T., & Lukasiewicz, T. (2002). Causes and Explanations in the Structural-Model Approach: Tractable Cases (INFSYS RR-1843-02-03). http://hdl.handle.net/20.500.12708/32793

• Deep learning für das Semantic Web / Hohenecker, P. (2016). Deep learning für das Semantic Web [Diploma Thesis, Technische Universität Wien]. reposiTUm. https://doi.org/10.34726/hss.2016.37489
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