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Foundations of Databases: The Logical Level
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Business artifacts: An approach to operational specification
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Schema mappings, data exchange, and metadata management
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Business Process Management: Concepts, Languages, Architectures
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Principles of Model Checking (Representation and Mind Series)
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Automatic construction of simple artifact-based business processes
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On formalised computer programs
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Towards formal analysis of artifact-centric business process models
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Automatic verification of data-centric business processes
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On the convergence of data and process engineering
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Verification of deployed artifact systems via data abstraction
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Ontology-based governance of data-aware processes
RR'12 Proceedings of the 6th international conference on Web Reasoning and Rule Systems
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Verification of GSM-Based artifact-centric systems through finite abstraction
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Compliance by design for artifact-centric business processes
Information Systems
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Verification of relational data-centric dynamic systems with external services
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Foundations of data-aware process analysis: a database theory perspective
Proceedings of the 32nd symposium on Principles of database systems
Description logic knowledge and action bases
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Verification of query completeness over processes
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Artifacts are entities characterized by data of interest (constituting the state of the artifact) in a given business application, and a lifecycle, which constrains the artifact's possible evolutions. In this paper we study relational artifacts, where data are represented by a full fledged relational database, and the lifecycle is described by a temporal/ dynamic formula expressed in µ-calculus. We then consider business processes, modeled as a set of condition/action rules, in which the execution of actions (aka tasks, or atomic services) results in new artifact states. We study conformance of such processes wrt the artifact lifecycle as well as verification of temporal/dynamic properties expressed in µ-calculus. Notice that such systems are infinite-state in general, hence undecidable. However, inspired by recent literature on database dependencies developed for data exchange, we present a natural restriction that makes such systems finite-state, and the above problems decidable.