Weighted fuzzy pattern matching
Fuzzy Sets and Systems - Mathematical Modelling
Maintaining knowledge about temporal intervals
Communications of the ACM
Verifiable agent interaction in abductive logic programming: The SCIFF framework
ACM Transactions on Computational Logic (TOCL)
Fuzzy matchmaking in e-marketplaces of peer entities using Datalog
Fuzzy Sets and Systems
Probabilistic QoS and Soft Contracts for Transaction-Based Web Services Orchestrations
IEEE Transactions on Services Computing
Representing and reasoning about commitments in business processes
AAAI'07 Proceedings of the 22nd national conference on Artificial intelligence - Volume 2
Declarative specification and verification of service choreographiess
ACM Transactions on the Web (TWEB)
A Configurable Rete-OO Engine for Reasoning with Different Types of Imperfect Information
IEEE Transactions on Knowledge and Data Engineering
Research on Services Matching and Ranking Based on Fuzzy QoS Ontology
CASON '10 Proceedings of the 2010 International Conference on Computational Aspects of Social Networks
A rule-based implementation of fuzzy tableau reasoning
RuleML'10 Proceedings of the 2010 international conference on Semantic web rules
Norm compliance in business process modeling
RuleML'10 Proceedings of the 2010 international conference on Semantic web rules
Fuzzy ontology representation using OWL 2
International Journal of Approximate Reasoning
FMOODS'10/FORTE'10 Proceedings of the 12th IFIP WG 6.1 international conference and 30th IFIP WG 6.1 international conference on Formal Techniques for Distributed Systems
Social commitments in time: satisfied or compensated
DALT'09 Proceedings of the 7th international conference on Declarative Agent Languages and Technologies
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In some different research fields a research issue has been to establish if the external, observed behaviour of an entity is conformant to some rules/specifications/ expectations. Research areas like Multi Agent Systems, Business Process, and Legal/Normative systems, have proposed different characterizations of the same problem, named as the conformance problem. Most of the available systems, however, provide only simple yes/no answers to the conformance issue. In this paper we introduce the idea of a gradual conformance, expressed in fuzzy terms. To this end, we present a system based on a fuzzy extension of Drools, and exploit it to perform conformance tests. In particular, we consider two aspects: the first related to fuzzy ontological aspects, and the second about fuzzy time-related aspects. Moreover, we discuss how to conjugate the fuzzy contributions from these aspects to get a single, fuzzy score representing a conformance degree.