The SCEAS System
Navigation Menu
Introduction
Collection Based
Clustering
Ranking
Paper Based
Journals
Conferences
DB Status
Statistics
Search

Search the dblp DataBase

Title:
Author:
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]


Search in 0.022secs, Finished in 0.028secs
NOTICE1
System may not be available sometimes or not working properly, since it is still in development with continuous upgrades
NOTICE2
The rankings that are presented on this page should NOT be considered as formal since the citation info is incomplete in DBLP
 
Introduction Collection Based Clustering Ranking Paper Based Journals Conferences DB Status Statistics Search
System created by asidirop@csd.auth.gr [http://users.auth.gr/~asidirop/] © 2002
for Data Engineering Laboratory, Department of Informatics, Aristotle University © 2002