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Thomas Lukasiewicz: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. Thomas Lukasiewicz
    Uncertain Reasoning in Concept Lattices. [Citation Graph (1, 0)][DBLP]
    ECSQARU, 1995, pp:293-300 [Conf]
  2. Alberto Finzi, Thomas Lukasiewicz
    Game theoretic Golog under partial observability. [Citation Graph (0, 0)][DBLP]
    AAMAS, 2005, pp:1301-1302 [Conf]
  3. Thomas Lukasiewicz
    Efficient Global Probabilistic Deduction from Taxonomic and Probabilistic Knowledge-Bases over Conjunctive Events. [Citation Graph (0, 0)][DBLP]
    CIKM, 1997, pp:75-82 [Conf]
  4. Thomas Lukasiewicz, Werner Kießling, Gerhard Köstler, Ulrich Güntzer
    Taxonomic and Uncertain Integrity Constraints in Object-Oriented Databases - the TOP Approach. [Citation Graph (0, 6)][DBLP]
    CIKM, 1995, pp:241-249 [Conf]
  5. Thomas Lukasiewicz
    Many-Valued First-Order Logics with Probabilistic Semantics. [Citation Graph (0, 0)][DBLP]
    CSL, 1998, pp:415-429 [Conf]
  6. Alberto Finzi, Thomas Lukasiewicz
    Game-Theoretic Agent Programming in Golog. [Citation Graph (0, 0)][DBLP]
    ECAI, 2004, pp:23-27 [Conf]
  7. Alberto Finzi, Thomas Lukasiewicz
    Adaptive Multi-Agent Programming in GTGolog. [Citation Graph (0, 0)][DBLP]
    ECAI, 2006, pp:753-754 [Conf]
  8. Luca Iocchi, Thomas Lukasiewicz, Daniele Nardi, Riccardo Rosati
    Reasoning about Actions with Sensing under Qualitative and Probabilistic Uncertainty. [Citation Graph (0, 0)][DBLP]
    ECAI, 2004, pp:818-822 [Conf]
  9. Thomas Lukasiewicz
    Probabilistic Logic Programming. [Citation Graph (0, 0)][DBLP]
    ECAI, 1998, pp:388-392 [Conf]
  10. Veronica Biazzo, Angelo Gilio, Thomas Lukasiewicz, Giuseppe Sanfilippo
    Probabilistic Logic under Coherence, Model-Theoretic Probabilistic Logic, and Default Reasoning. [Citation Graph (0, 0)][DBLP]
    ECSQARU, 2001, pp:290-302 [Conf]
  11. Thomas Lukasiewicz
    Probabilistic Lexicographic Entailment under Variable-Strength Inheritance with Overriding. [Citation Graph (0, 0)][DBLP]
    ECSQARU, 2003, pp:576-587 [Conf]
  12. Thomas Lukasiewicz
    Probabilistic Description Logic Programs. [Citation Graph (0, 0)][DBLP]
    ECSQARU, 2005, pp:737-749 [Conf]
  13. Thomas Lukasiewicz, Gabriele Kern-Isberner
    Probalilistic Logic Programming under Maximum Entropy. [Citation Graph (0, 0)][DBLP]
    ESCQARU, 1999, pp:279-292 [Conf]
  14. Thomas Lukasiewicz, Jörg Schellhase
    Variable-Strength Conditional Preferences for Ranking Objects in Ontologies. [Citation Graph (0, 0)][DBLP]
    ESWC, 2006, pp:288-302 [Conf]
  15. Thomas Eiter, Thomas Lukasiewicz, Michael Walter
    Extension of the Relational Algebra to Probabilistic Complex Values. [Citation Graph (0, 0)][DBLP]
    FoIKS, 2000, pp:94-115 [Conf]
  16. Thomas Eiter, Thomas Lukasiewicz
    Complexity Results for Structure-Based Causality. [Citation Graph (0, 0)][DBLP]
    IJCAI, 2001, pp:35-42 [Conf]
  17. Alessandro Farinelli, Alberto Finzi, Thomas Lukasiewicz
    Team Programming in Golog under Partial Observability. [Citation Graph (0, 0)][DBLP]
    IJCAI, 2007, pp:2097-2102 [Conf]
  18. Veronica Biazzo, Angelo Gilio, Thomas Lukasiewicz, Giuseppe Sanfilippo
    Probabilistic Logic under Coherence: Complexity and Algorithms. [Citation Graph (0, 0)][DBLP]
    ISIPTA, 2001, pp:51-61 [Conf]
  19. Thomas Lukasiewicz
    Nonmonotonic Probabilistic Logics under Variable-Strength Inheritance with Overriding: Algorithms and Implementation in NMPROBLOG. [Citation Graph (0, 0)][DBLP]
    ISIPTA, 2005, pp:230-239 [Conf]
  20. Thomas Lukasiewicz
    Probabilistic and Truth-Functional Many-Valued Logic Programming. [Citation Graph (0, 0)][DBLP]
    ISMVL, 1999, pp:236-241 [Conf]
  21. Alberto Finzi, Thomas Lukasiewicz
    Relational Markov Games. [Citation Graph (0, 0)][DBLP]
    JELIA, 2004, pp:320-333 [Conf]
  22. Thomas Eiter, Thomas Lukasiewicz
    New Tractable Cases in Default Reasoning from Conditional Knowledge Bases. [Citation Graph (0, 0)][DBLP]
    JELIA, 2000, pp:313-328 [Conf]
  23. Rosalba Giugno, Thomas Lukasiewicz
    P-SHOQ(D): A Probabilistic Extension of SHOQ(D) for Probabilistic Ontologies in the Semantic Web. [Citation Graph (0, 0)][DBLP]
    JELIA, 2002, pp:86-97 [Conf]
  24. Thomas Eiter, Thomas Lukasiewicz
    Complexity Results for Default Reasoning from Conditional Knowledge Bases. [Citation Graph (0, 0)][DBLP]
    KR, 2000, pp:62-73 [Conf]
  25. Thomas Eiter, Thomas Lukasiewicz
    Complexity Results for Explanations in the Structural-Model Approach. [Citation Graph (0, 0)][DBLP]
    KR, 2002, pp:49-60 [Conf]
  26. Thomas Eiter, Thomas Lukasiewicz, Roman Schindlauer, Hans Tompits
    Combining Answer Set Programming with Description Logics for the Semantic Web. [Citation Graph (0, 0)][DBLP]
    KR, 2004, pp:141-151 [Conf]
  27. Thomas Lukasiewicz
    Weak Nonmonotonic Probabilistic Logics. [Citation Graph (0, 0)][DBLP]
    KR, 2004, pp:23-33 [Conf]
  28. Thomas Lukasiewicz
    Probabilistic Deduction with Conditional Constraints over Basic Events. [Citation Graph (0, 0)][DBLP]
    KR, 1998, pp:380-393 [Conf]
  29. Thomas Lukasiewicz, Jörg Schellhase
    Variable-Strength Conditional Preferences for Matchmaking in Description Logics. [Citation Graph (0, 0)][DBLP]
    KR, 2006, pp:164-174 [Conf]
  30. Alberto Finzi, Thomas Lukasiewicz
    Game-Theoretic Reasoning About Actions in Nonmonotonic Causal Theories. [Citation Graph (0, 0)][DBLP]
    LPNMR, 2005, pp:185-197 [Conf]
  31. Thomas Lukasiewicz
    Fixpoint Characterizations for Many-Valued Disjunctive Logic Programs with Probabilistic Semantics. [Citation Graph (0, 0)][DBLP]
    LPNMR, 2001, pp:336-350 [Conf]
  32. Thomas Lukasiewicz
    Many-Valued Disjunctive Logic Programs with Probabilistic Semantics. [Citation Graph (0, 0)][DBLP]
    LPNMR, 1999, pp:277-289 [Conf]
  33. Luca Iocchi, Thomas Lukasiewicz, Daniele Nardi, Riccardo Rosati
    Qualitative and probabilistic uncertainty in reasoning about actions with sensing. [Citation Graph (0, 0)][DBLP]
    NMR, 2004, pp:240-248 [Conf]
  34. Thomas Lukasiewicz
    Nonmonotonic probabilistic logics between model-theoretic probabilistic logic and probabilistic logic under coherence. [Citation Graph (0, 0)][DBLP]
    NMR, 2002, pp:265-274 [Conf]
  35. Thomas Eiter, Thomas Lukasiewicz, Roman Schindlauer, Hans Tompits
    Well-Founded Semantics for Description Logic Programs in the Semantic Web. [Citation Graph (0, 0)][DBLP]
    RuleML, 2004, pp:81-97 [Conf]
  36. Thomas Lukasiewicz
    Fuzzy Description Logic Programs under the Answer Set Semantics for the Semantic Web. [Citation Graph (0, 0)][DBLP]
    RuleML, 2006, pp:89-96 [Conf]
  37. Thomas Lukasiewicz
    Stratified Probabilistic Description Logic Programs. [Citation Graph (0, 0)][DBLP]
    ISWC-URSW, 2005, pp:87-97 [Conf]
  38. Thomas Eiter, Thomas Lukasiewicz
    Causes and Explanations in the Structural-Model Approach : Tractable Cases. [Citation Graph (0, 0)][DBLP]
    UAI, 2002, pp:146-153 [Conf]
  39. Thomas Eiter, Thomas Lukasiewicz
    Probabilistic Reasoning about Actions in Nonmonotonic Causal Theories. [Citation Graph (0, 0)][DBLP]
    UAI, 2003, pp:192-199 [Conf]
  40. Alberto Finzi, Thomas Lukasiewicz
    Structure-Based Causes and Explanations in the Independent Choice Logic. [Citation Graph (0, 0)][DBLP]
    UAI, 2003, pp:225-232 [Conf]
  41. Thomas Lukasiewicz
    Credal Networks under Maximum Entropy. [Citation Graph (0, 0)][DBLP]
    UAI, 2000, pp:363-370 [Conf]
  42. Thomas Lukasiewicz
    Probabilistic Logic Programming under Inheritance with Overriding. [Citation Graph (0, 0)][DBLP]
    UAI, 2001, pp:329-336 [Conf]
  43. Thomas Lukasiewicz
    Magic Inference Rules for Probabilistic Deduction under Taxonomic Knowledge. [Citation Graph (0, 0)][DBLP]
    UAI, 1998, pp:354-361 [Conf]
  44. Thomas Eiter, Thomas Lukasiewicz
    Default reasoning from conditional knowledge bases: Complexity and tractable cases. [Citation Graph (0, 0)][DBLP]
    Artif. Intell., 2000, v:124, n:2, pp:169-241 [Journal]
  45. Thomas Eiter, Thomas Lukasiewicz
    Complexity results for structure-based causality. [Citation Graph (0, 0)][DBLP]
    Artif. Intell., 2002, v:142, n:1, pp:53-89 [Journal]
  46. Thomas Eiter, Thomas Lukasiewicz
    Complexity results for explanations in the structural-model approach. [Citation Graph (0, 0)][DBLP]
    Artif. Intell., 2004, v:154, n:1-2, pp:145-198 [Journal]
  47. Thomas Eiter, Thomas Lukasiewicz
    Causes and explanations in the structural-model approach: Tractable cases. [Citation Graph (0, 0)][DBLP]
    Artif. Intell., 2006, v:170, n:6-7, pp:542-580 [Journal]
  48. Gabriele Kern-Isberner, Thomas Lukasiewicz
    Combining probabilistic logic programming with the power of maximum entropy. [Citation Graph (0, 0)][DBLP]
    Artif. Intell., 2004, v:157, n:1-2, pp:139-202 [Journal]
  49. Thomas Lukasiewicz
    Weak nonmonotonic probabilistic logics. [Citation Graph (0, 0)][DBLP]
    Artif. Intell., 2005, v:168, n:1-2, pp:119-161 [Journal]
  50. Veronica Biazzo, Angelo Gilio, Thomas Lukasiewicz, Giuseppe Sanfilippo
    Probabilistic logic under coherence: complexity and algorithms. [Citation Graph (0, 0)][DBLP]
    Ann. Math. Artif. Intell., 2005, v:45, n:1-2, pp:35-81 [Journal]
  51. Thomas Eiter, Thomas Lukasiewicz, Michael Walter
    A data model and algebra for probabilistic complex values. [Citation Graph (0, 0)][DBLP]
    Ann. Math. Artif. Intell., 2001, v:33, n:2-4, pp:205-252 [Journal]
  52. Thomas Lukasiewicz
    Probabilistic Default Reasoning with Conditional Constraints. [Citation Graph (0, 0)][DBLP]
    Ann. Math. Artif. Intell., 2002, v:34, n:1-3, pp:35-88 [Journal]
  53. Thomas Lukasiewicz
    Probabilistic Default Reasoning with Conditional Constraints [Citation Graph (0, 0)][DBLP]
    CoRR, 2000, v:0, n:, pp:- [Journal]
  54. Thomas Lukasiewicz
    Nonmonotonic Probabilistic Logics between Model-Theoretic Probabilistic Logic and Probabilistic Logic under Coherence [Citation Graph (0, 0)][DBLP]
    CoRR, 2002, v:0, n:, pp:- [Journal]
  55. Thomas Lukasiewicz
    Local probabilistic deduction from taxonomic and probabilistic knowledge-bases over conjunctive events. [Citation Graph (0, 0)][DBLP]
    Int. J. Approx. Reasoning, 1999, v:21, n:1, pp:23-61 [Journal]
  56. Thomas Lukasiewicz
    Nonmonotonic probabilistic logics under variable-strength inheritance with overriding: Complexity, algorithms, and implementation. [Citation Graph (0, 0)][DBLP]
    Int. J. Approx. Reasoning, 2007, v:44, n:3, pp:301-321 [Journal]
  57. Andrés Cano, Fabio Gagliardi Cozman, Thomas Lukasiewicz
    Reasoning with imprecise probabilities. [Citation Graph (0, 0)][DBLP]
    Int. J. Approx. Reasoning, 2007, v:44, n:3, pp:197-199 [Journal]
  58. Thomas Lukasiewicz
    Probabilistic Deduction with Conditional Constraints over Basic Events. [Citation Graph (0, 0)][DBLP]
    J. Artif. Intell. Res. (JAIR), 1999, v:10, n:, pp:199-241 [Journal]
  59. Veronica Biazzo, Angelo Gilio, Thomas Lukasiewicz, Giuseppe Sanfilippo
    Probabilistic logic under coherence, model-theoretic probabilistic logic, and default reasoning in System P. [Citation Graph (0, 0)][DBLP]
    Journal of Applied Non-Classical Logics, 2002, v:12, n:2, pp:189-213 [Journal]
  60. Veronica Biazzo, Rosalba Giugno, Thomas Lukasiewicz, V. S. Subrahmanian
    Temporal Probabilistic Object Bases. [Citation Graph (0, 0)][DBLP]
    IEEE Trans. Knowl. Data Eng., 2003, v:15, n:4, pp:921-939 [Journal]
  61. Thomas Lukasiewicz
    Probabilistic logic programming with conditional constraints. [Citation Graph (0, 0)][DBLP]
    ACM Trans. Comput. Log., 2001, v:2, n:3, pp:289-339 [Journal]
  62. Thomas Eiter, James J. Lu, Thomas Lukasiewicz, V. S. Subrahmanian
    Probabilistic object bases. [Citation Graph (0, 0)][DBLP]
    ACM Trans. Database Syst., 2001, v:26, n:3, pp:264-312 [Journal]
  63. Thomas Lukasiewicz, Umberto Straccia
    Description Logic Programs Under Probabilistic Uncertainty and Fuzzy Vagueness. [Citation Graph (0, 0)][DBLP]
    ECSQARU, 2007, pp:187-198 [Conf]
  64. Thomas Lukasiewicz
    A Novel Combination of Answer Set Programming with Description Logics for the Semantic Web. [Citation Graph (0, 0)][DBLP]
    ESWC, 2007, pp:384-398 [Conf]
  65. Andrea Calì, Thomas Lukasiewicz
    Tightly Integrated Probabilistic Description Logic Programs for the Semantic Web. [Citation Graph (0, 0)][DBLP]
    ICLP, 2007, pp:428-429 [Conf]
  66. Alberto Finzi, Thomas Lukasiewicz
    Game-Theoretic Agent Programming in Golog Under Partial Observability. [Citation Graph (0, 0)][DBLP]
    KI, 2006, pp:113-127 [Conf]
  67. Alberto Finzi, Thomas Lukasiewicz
    Adaptive Multi-agent Programming in GTGolog. [Citation Graph (0, 0)][DBLP]
    KI, 2006, pp:389-403 [Conf]
  68. Thomas Lukasiewicz, Umberto Straccia
    Tightly Integrated Fuzzy Description Logic Programs Under the Answer Set Semantics for the Semantic Web. [Citation Graph (0, 0)][DBLP]
    RR, 2007, pp:289-298 [Conf]
  69. Thomas Lukasiewicz
    Tractable Probabilistic Description Logic Programs. [Citation Graph (0, 0)][DBLP]
    SUM, 2007, pp:143-156 [Conf]
  70. Thomas Lukasiewicz, Umberto Straccia
    Top-k Retrieval in Description Logic Programs Under Vagueness for the Semantic Web. [Citation Graph (0, 0)][DBLP]
    SUM, 2007, pp:16-30 [Conf]
  71. Thomas Lukasiewicz
    Probabilistic description logic programs. [Citation Graph (0, 0)][DBLP]
    Int. J. Approx. Reasoning, 2007, v:45, n:2, pp:288-307 [Journal]
  72. Thomas Lukasiewicz, Jörg Schellhase
    Variable-strength conditional preferences for ranking objects in ontologies. [Citation Graph (0, 0)][DBLP]
    J. Web Sem., 2007, v:5, n:3, pp:180-194 [Journal]

  73. Ontological Reasoning with F-logic Lite and its Extensions. [Citation Graph (, )][DBLP]


  74. Tractable Query Answering over Ontologies with Datalog+/-. [Citation Graph (, )][DBLP]


  75. A Combination of Boolean Games with Description Logics for Automated Multi-Attribute Negotiation. [Citation Graph (, )][DBLP]


  76. Tightly Integrated Probabilistic Description Logic Programs for Representing Ontology Mappings. [Citation Graph (, )][DBLP]


  77. Semantic Web Search Based on Ontological Conjunctive Queries. [Citation Graph (, )][DBLP]


  78. Combining Boolean Games with the Power of Ontologies for Automated Multi-attribute Negotiation in the Semantic Web. [Citation Graph (, )][DBLP]


  79. Datalog±: a unified approach to ontologies and integrity constraints. [Citation Graph (, )][DBLP]


  80. Inductive Query Answering and Concept Retrieval Exploiting Local Models. [Citation Graph (, )][DBLP]


  81. Datalog+/-: A Family of Logical Knowledge Representation and Query Languages for New Applications. [Citation Graph (, )][DBLP]


  82. A general datalog-based framework for tractable query answering over ontologies. [Citation Graph (, )][DBLP]


  83. Inductive reasoning and semantic web search. [Citation Graph (, )][DBLP]


  84. Representing Ontology Mappings with Probabilistic Description Logics Programs. [Citation Graph (, )][DBLP]


  85. A General Datalog-Based Framework for Tractable Query Answering over Ontologies (extended abstract). [Citation Graph (, )][DBLP]


  86. A Framework for Representing Ontology Mappings under Probabilities and Inconsistency. [Citation Graph (, )][DBLP]


  87. Combining Boolean Games with the Power of Ontologies for Automated Multi-Attribute Negotiation in the Semantic Web. [Citation Graph (, )][DBLP]


  88. An Approach to Probabilistic Data Integration for the Semantic Web. [Citation Graph (, )][DBLP]


  89. Rule-Based Approaches for Representing Probabilistic Ontology Mappings. [Citation Graph (, )][DBLP]


  90. Representing Uncertain Concepts in Rough Description Logics via Contextual Indiscernibility Relations. [Citation Graph (, )][DBLP]


  91. An Approach to Probabilistic Data Integration for the Semantic Web. [Citation Graph (, )][DBLP]


  92. Preferences, Links, and Probabilities for Ranking Objects in Ontologies. [Citation Graph (, )][DBLP]


  93. Combining Semantic Web Search with the Power of Inductive Reasoning. [Citation Graph (, )][DBLP]


  94. Approximate Classification of Semantically Annotated Web Resources Exploiting Pseudo-metrics Induced by Local Models. [Citation Graph (, )][DBLP]


  95. Uncertainty Reasoning for the Semantic Web. [Citation Graph (, )][DBLP]


  96. Tractable Reasoning with Bayesian Description Logics. [Citation Graph (, )][DBLP]


  97. Uncertainty in the Semantic Web. [Citation Graph (, )][DBLP]


  98. Combining Semantic Web Search with the Power of Inductive Reasoning. [Citation Graph (, )][DBLP]


  99. Expressive probabilistic description logics. [Citation Graph (, )][DBLP]


  100. Combining answer set programming with description logics for the Semantic Web. [Citation Graph (, )][DBLP]


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