[go: up one dir, main page]
More Web Proxy on the site http://driver.im/ skip to main content
article

Description logics of minimal knowledge and negation as failure

Published: 01 April 2002 Publication History

Abstract

We present description logics of minimal knowledge and negation as failure (MKNF-DLs), which augment description logics with modal operators interpreted according to Lifschitz's nonmonotonic logic MKNF. We show the usefulness of MKNF-DLs for a formal characterization of a wide variety of nonmonotonic features that are both commonly available inframe-based systems, and needed in the development of practical knowledge-based applications: defaults, integrity constraints, role, and concept closure. In addition, we provide a correct and terminating calculus for query answering in a very expressive MKNF-DL.

References

[1]
BAADER, F., BURCKERT, H.-J., HOLLUNDER, B., NUTT,W.,AND SIEKMANN, J. H. 1990. Concept logics. In Computational Logics, Symposium Proceedings, J. W. Lloyd, Ed. Springer-Verlag, 177-201.]]
[2]
BAADER,F.AND HOLLUNDER, B. 1992. Embedding defaults into terminological knowledge representation formalisms. In Proceedings of the 3rd International Conference on the Principles of Knowledge Representation and Reasoning (KR'92). Morgan Kaufmann, Los Altos, 306-317.]]
[3]
BAADER,F.AND HOLLUNDER, B. 1995. Embedding defaults into terminological knowledge representation formalisms. J. Auto. Reason. 14, 149-180.]]
[4]
BERGAMASCHI,S.AND SARTORI, C. 1992. On taxonomic reasoning in conceptual design. ACMTrans. Data. Syst. 17, 3, 385-422.]]
[5]
BORGIDA, A. 1995. Description logics for data management. IEEE Trans. Knowl. Data Eng. 7,5, 671-682.]]
[6]
BRACHMAN, R. J. 1992. "Reducing" CLASSIC to practice: Knowledge representation meets reality. In Proceedings of the 3rd International Conference on the Principles of Knowledge Representation and Reasoning (KR'92). Morgan Kaufmann, Los Altos, 247-258.]]
[7]
BRACHMAN,R.J.AND LEVESQUE, H. J., Eds. 1985. Readings in Knowledge Representation. Morgan Kaufmann, Los Altos.]]
[8]
BUCHHEIT, M., DONINI,F.M.,AND SCHAERF, A. 1993. Decidable reasoning in terminological knowledge representation systems. J. Artif. Intell. Res. 1, 109-138.]]
[9]
CALVANESE, D., DE GIACOMO, G., LENZERINI, M., NARDI,D.,AND ROSATI, R. 1998. Description logic framework for information integration. In Proceedings of the 6th International Conference on Principles of Knowledge Representation and Reasoning (KR'98). 2-13.]]
[10]
CALVANESE, D., LENZERINI, M., AND NARDI, D. 1994. A unified framework for class based representation formalisms. In Proceedings of the 4th International Conference on the Principles of Knowledge Representation and Reasoning (KR'94), J. Doyle, E. Sandewall, and P. Torasso, Eds. Morgan Kaufmann, Los Altos, Bonn (Germany), 109-120.]]
[11]
DONINI, F. M., LENZERINI, M., NARDI, D., NUTT,W.,AND SCHAERF, A. 1992. Adding epistemic operators to concept languages. In Proceedings of the 3rd International Conference on the Principles of Knowledge Representation and Reasoning (KR'92). Morgan Kaufmann, Los Altos, 342-353.]]
[12]
DONINI, F. M., LENZERINI, M., NARDI,D.,AND SCHAERF, A. 1996. Reasoning in description logics. In Principles of Knowledge Representation, G. Brewka, Ed. Studies in Logic, Language and Information. CSLI Publications, 193-238.]]
[13]
DONINI, F. M., LENZERINI, M., NARDI,D.,AND SCHAERF, A. 1998a. AL-log: integrating datalog and description logics. J. Intell. Inform. Syst. 10, 227-252.]]
[14]
DONINI, F. M., LENZERINI, M., NARDI, D., SCHAERF, A., AND NUTT, W. 1998b. An epistemic operator for description logics. Artificial Intelligence 100, 1-2, 225-274.]]
[15]
DONINI, F. M., NARDI,D.,AND ROSATI, R. 1995. Non-first-order features in concept languages. In Proceedings of the 4th Conference of the Italian Association for Artificial Intelligence (AI*IA'95). Number 992 in Lecture Notes in Artificial Intelligence. Springer-Verlag, 91-102.]]
[16]
DONINI, F. M., NARDI,D.,AND ROSATI, R. 1997a. Autoepistemic description logics. In Proceedings of the 15th International Joint Conference on Artificial Intelligence (IJCAI'97). 136-141.]]
[17]
DONINI, F. M., NARDI,D.,AND ROSATI, R. 1997b. Ground nonmonotonic modal logics. J. Logic Comput. 7, 4 (Aug.), 523-548.]]
[18]
EITER, T., GOTTLOB,G.,AND MANNILLA, H. 1997. Disjunctive Datalog. ACMTrans. Data. Syst. 22,3, 364-418.]]
[19]
ETHERINGTON,D.AND REITER, R. 1983. On inheritance networks with exceptions. In Proceedings of the 3th National Conference on Artificial Intelligence (AAAI'83). 104-108.]]
[20]
FIKES,R.AND KEHLER, T. 1985. The role of frame-based representation in reasoning. Commun. ACM 28, 9, 904-920.]]
[21]
FITTING, M. 1983. Proof Methods for Modal and Intuitionistic Logics. Reidel.]]
[22]
GOTTLOB, G. 1992. Complexity results for nonmonotonic logics. J. Logic Comput. 2, 397-425.]]
[23]
GOTTLOB, G. 1995. NP trees and Carnap's modal logic. J. ACM 42, 2, 421-457.]]
[24]
HAYES, P. J. 1979. The logic of frames. In Frame Conceptions and Text Understanding, D. Metzing, Ed. Walter de Gruyter and Co., 46-61. Republished in {Brachman and Levesque 1985}.]]
[25]
KAKAS,A.AND MANCARELLA, P. 1990. Generalized stable models: a semantics for abduction. In Proceedings of the 9th European Conference on Artificial Intelligence (ECAI'90). 385-391.]]
[26]
KARP, P. D. 1992. The design space of knowledge representation systems. Tech. Rep. SRI AI Technical Note 520, SRI International, Menlo Park (CA, USA).]]
[27]
KIFER, M., LAUSEN,G.,AND WU, J. 1995. Logical foundations of Object-Oriented and frame-based languages. J. ACM 42, 4, 741-843.]]
[28]
LAKEMEYER, G. 1996. Limited reasoning in first-order knowledge bases with full introspection. Artificial Intelligence 84, 209-255.]]
[29]
LEVESQUE, H. J. 1984. Foundations of a functional approach to knowledge representation. Artificial Intelligence 23, 155-212.]]
[30]
LEVESQUE, H. J. 1990. All I know: a study in autoepistemic logic. Artificial Intelligence 42, 263- 310.]]
[31]
LEVY,A.Y.AND ROUSSET, M.-C. 1998. Verification of knowledge bases based on containment checking. Artificial Intelligence 101(1-2), 227-250.]]
[32]
LIFSCHITZ, V. 1991. Nonmonotonic databases and epistemic queries. In Proceedings of the 12th International Joint Conference on Artificial Intelligence (IJCAI'91). 381-386.]]
[33]
LIFSCHITZ, V. 1994. Minimal belief and negation as failure. Artificial Intelligence 70, 53-72.]]
[34]
MACGREGOR, R. 1988. A deductive pattern matcher. In Proceedings of the 7th National Conference on Artificial Intelligence (AAAI'88). 403-408.]]
[35]
MAREK,W.AND TRUSZCZYNSKI, M. 1993. Nonmonotonic Logics-Context-Dependent Reasoning. Springer-Verlag.]]
[36]
NADO,R.AND FIKES, R. 1987. Semantically sound inheritance for a formally defined frame language with defaults. In Proceedings of the 6th National Conference on Artificial Intelligence (AAAI'87). 443-448.]]
[37]
NEBEL, B. 1990. Reasoning and Revision in Hybrid Representation Systems. Lecture Notes in Artificial Intelligence, vol. 422. Springer-Verlag.]]
[38]
NIEMELA, I. 1992. On the decidability and complexity of autoepistemic reasoning. Fundamenta Informaticae 17, 1,2, 117-156.]]
[39]
NIEMELA, I. 1993. Autoepistemic logic as a unified basis for nonmonotonic reasoning. Ph.D. dissertation Department of Computer Science, Helsinki University of Technology, Finland.]]
[40]
PADGHAM,L.AND ZHANG, T. 1993. A terminological logic with defaults. In Proceedings of the 13th International Joint Conference on Artificial Intelligence (IJCAI'93). 662-668.]]
[41]
PATEL-SCHNEIDER, P. F., MCGUINESS, D. L., BRACHMAN, R. J., RESNICK,L.A.,AND BORGIDA, A. 1991. The CLASSIC knowledge representation system: Guiding principles and implementation rational. SIGART Bull. 2, 3, 108-113.]]
[42]
QUANTZ,J.AND ROYER, V. 1992. A preference semantics for defaults in terminological logics. In Proceedings of the 3rd International Conference on the Principles of Knowledge Representation and Reasoning (KR'92). Morgan Kaufmann, Los Altos, 294-305.]]
[43]
REITER, R. 1990. What should a database know? J. Logic Program. 14, 127-153.]]
[44]
REITER,R.AND CRISCUOLO, G. 1981. On interacting defaults. In Proceedings of the 7th International Joint Conference on Artificial Intelligence (IJCAI'81). 270-276.]]
[45]
ROSATI, R. 1998. Reducing query answering to satisfiability in nonmonotonic logics. In Proceedings of the 15th National Conference on Artificial Intelligence (AAAI'98). AAAI Press/ The MIT Press, 853-858.]]
[46]
ROSATI, R. 1999a. Reasoning about minimal belief and negation as failure. J. Artif. Intell. Res. 11, 277-300.]]
[47]
ROSATI, R. 1999b. Towards first-order nonmonotonic reasoning. In Proceedings of the 5th International Conference on Logic Programming and Nonmonotonic Reasoning (LPNMR'99). Lecture Notes in Artificial Intelligence, vol. 1730. Springer-Verlag, 332-346.]]
[48]
SCHMIDT-SCHAUSS,M.AND SMOLKA, G. 1991. Attributive concept descriptions with complements. Artificial Intelligence 48, 1, 1-26.]]
[49]
STRACCIA, U. 1993. Default inheritance reasoning in hybrid KL-ONE-style logics. In Proceedings of the 13th International Joint Conference on Artificial Intelligence (IJCAI'93). Morgan Kaufmann, Los Altos, Chamb~ry (France), 676-681.]]
[50]
WOODS,W.A.AND SCHMOLZE, J. G. 1992. The KL-ONE family. In Semantic Networks in Artificial Intelligence, F. W. Lehmann, Ed. Pergamon Press, 133-178. Published as a special issue of Computers & Mathematics with Applications, Volume 23, Number 2-9.]]

Cited By

View all
  • (2024)Complexity and scalability of defeasible reasoning in many-valued weighted knowledge bases with typicalityJournal of Logic and Computation10.1093/logcom/exae03834:8(1469-1499)Online publication date: 5-Aug-2024
  • (2024)Two semantic interpretations of probabilities in description logics of typicalityLogic Journal of the IGPL10.1093/jigpal/jzae086Online publication date: 22-Jul-2024
  • (2024)Datalog rewritability and data complexity of ALCHOIQ with closed predicatesArtificial Intelligence10.1016/j.artint.2024.104099330:COnline publication date: 1-May-2024
  • Show More Cited By

Recommendations

Comments

Please enable JavaScript to view thecomments powered by Disqus.

Information & Contributors

Information

Published In

cover image ACM Transactions on Computational Logic
ACM Transactions on Computational Logic  Volume 3, Issue 2
April 2002
157 pages
ISSN:1529-3785
EISSN:1557-945X
DOI:10.1145/505372
Issue’s Table of Contents
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 01 April 2002
Published in TOCL Volume 3, Issue 2

Permissions

Request permissions for this article.

Check for updates

Author Tags

  1. Description Logics
  2. frame-based systems
  3. nonmonotonic modal logics
  4. tableau calculi

Qualifiers

  • Article

Contributors

Other Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

  • Downloads (Last 12 months)12
  • Downloads (Last 6 weeks)3
Reflects downloads up to 24 Dec 2024

Other Metrics

Citations

Cited By

View all
  • (2024)Complexity and scalability of defeasible reasoning in many-valued weighted knowledge bases with typicalityJournal of Logic and Computation10.1093/logcom/exae03834:8(1469-1499)Online publication date: 5-Aug-2024
  • (2024)Two semantic interpretations of probabilities in description logics of typicalityLogic Journal of the IGPL10.1093/jigpal/jzae086Online publication date: 22-Jul-2024
  • (2024)Datalog rewritability and data complexity of ALCHOIQ with closed predicatesArtificial Intelligence10.1016/j.artint.2024.104099330:COnline publication date: 1-May-2024
  • (2023)Optimizing the computation of overriding in DLN (extended abstract)Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence10.24963/ijcai.2023/771(6860-6862)Online publication date: 19-Aug-2023
  • (2023)A Defeasible Description Logic for AbductionAIxIA 2023 – Advances in Artificial Intelligence10.1007/978-3-031-47546-7_6(74-87)Online publication date: 6-Nov-2023
  • (2022)An MDE-based methodology for closed-world integrity constraint checking in the semantic webWeb Semantics: Science, Services and Agents on the World Wide Web10.1016/j.websem.2022.10071774:COnline publication date: 1-Oct-2022
  • (2022)Optimizing the computation of overriding in DL N Artificial Intelligence10.1016/j.artint.2022.103764311:COnline publication date: 1-Oct-2022
  • (2022)Mapping Relational Database Constraints to SHACLThe Semantic Web – ISWC 202210.1007/978-3-031-19433-7_13(214-230)Online publication date: 23-Oct-2022
  • (2021)Data Privacy Based on IoT Device Behavior Control Using BlockchainACM Transactions on Internet Technology10.1145/343477621:1(1-20)Online publication date: 5-Jan-2021
  • (2021)A separation logic for effect handlersProceedings of the ACM on Programming Languages10.1145/34343145:POPL(1-28)Online publication date: 4-Jan-2021
  • Show More Cited By

View Options

Login options

Full Access

View options

PDF

View or Download as a PDF file.

PDF

eReader

View online with eReader.

eReader

Media

Figures

Other

Tables

Share

Share

Share this Publication link

Share on social media