Using Model-Theoretic Invariants for Semantic Integration. Michael Gruninger NIST / Institute for Systems Research University of Maryland

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Transcription:

Using Model-Theoretic Invariants for Semantic Integration Michael Gruninger NIST / Institute for Systems Research University of Maryland

Report Documentation Page Form Approved OMB No. 0704-0188 Public reporting burden for the collection of information is estimated to average 1 hour per response, including the time for reviewing instructions, searching existing data sources, gathering and maintaining the data needed, and completing and reviewing the collection of information. Send comments regarding this burden estimate or any other aspect of this collection of information, including suggestions for reducing this burden, to Washington Headquarters Services, Directorate for Information Operations and Reports, 1215 Jefferson Davis Highway, Suite 1204, Arlington VA 22202-4302. Respondents should be aware that notwithstanding any other provision of law, no person shall be subject to a penalty for failing to comply with a collection of information if it does not display a currently valid OMB control number. 1. REPORT DATE AUG 2004 2. REPORT TYPE 3. DATES COVERED 00-00-2004 to 00-00-2004 4. TITLE AND SUBTITLE Using Model-Theoretic Invariants for Semantic Integration 5a. CONTRACT NUMBER 5b. GRANT NUMBER 5c. PROGRAM ELEMENT NUMBER 6. AUTHOR(S) 5d. PROJECT NUMBER 5e. TASK NUMBER 5f. WORK UNIT NUMBER 7. PERFORMING ORGANIZATION NAME(S) AND ADDRESS(ES) National Institute of Standards and Technology (NIST),Manufacturing Engineering Laboratory,100 Bureau Dr,Gaithersburg,MD,20899 8. PERFORMING ORGANIZATION REPORT NUMBER 9. SPONSORING/MONITORING AGENCY NAME(S) AND ADDRESS(ES) 10. SPONSOR/MONITOR S ACRONYM(S) 12. DISTRIBUTION/AVAILABILITY STATEMENT Approved for public release; distribution unlimited 11. SPONSOR/MONITOR S REPORT NUMBER(S) 13. SUPPLEMENTARY NOTES Proceedings of the 2004 Performance Metrics for Intelligent Systems Workshop (PerMIS?04), Gaithersburg, MD on August 24-26 2004 14. ABSTRACT 15. SUBJECT TERMS 16. SECURITY CLASSIFICATION OF: 17. LIMITATION OF ABSTRACT a. REPORT unclassified b. ABSTRACT unclassified c. THIS PAGE unclassified Same as Report (SAR) 18. NUMBER OF PAGES 14 19a. NAME OF RESPONSIBLE PERSON Standard Form 298 (Rev. 8-98) Prescribed by ANSI Std Z39-18

Interoperability Process Modeler (ProCAP / KBSI) Process Planner (MetCAPP/Agiltech) Simulator (Quest / Dessault) Scheduler (ILOG Scheduler)

Semantic Translation Translation definitions specify the mappings between PSL and application ontologies. Example: The AtomicProcess in OWL-S maps to the activity concept in PSL only if the activity is atomic and its preconditions and effects depend only on the state prior to the occurrences of the activity. (forall (?a) (iff (AtomicProcess?a) (and (atomic?a) (markov_precond?a) (markov_effects?a))))

Semantic Interchange Protocols

What are sufficient conditions for an ontology to support this approach to semantic integration?

Verified Ontologies The meaning of terms in the ontology is characterized by models for first-order logic. The ontology provides a first-order axiomatization of the class of models

Definitional Extensions Preserving semantics is equivalent to preserving models of the axioms. preserving models = isomorphism We classify models by using invariants (properties of models that are preserved by isomorphism). automorphism groups, endomorphism semigroups Classes of activities and objects are specified using these invariants.

Models in PSL Occurrence trees Fluents (state) Activity trees

Twenty Questions How can we generate translation definitions? Each invariant from the classification of models corresponds to a different question. Any particular activity or object will have a unique value for the invariant. Each possible answer to a question corresponds to a different value for the invariant.

Limitations Not all theories have complete sets of invariants Invariants may not be first-order definable How do we determine the correctness of the translation definitions?

Interoperability Hypothesis We are considering interoperability among complete first-order inference engines that exchange first-order sentences. Why first-order logic? Soundness and completeness guarantees that a sentence is provable from a theory if and only if it is satisfied in all models of the theory.

Ontological Stance

Summary The meaning of terms in the ontology is characterized by models for first-order logic. The PSL Ontology has a first-order axiomatization of the class of models. Identify invariants of the models By axiomatizing these invariants, translation definitions can be shown to preserve semantics between software applications.

Further Questions? Michael Gruninger gruning@nist.gov (301) 975-6536 http://www.nist.gov/psl