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- articleJanuary 2008
Integration and verification of semantic constraints in adaptive process management systems
Data & Knowledge Engineering (DAKE), Volume 64, Issue 1Pages 3–23https://doi.org/10.1016/j.datak.2007.06.007Adaptivity in process management systems is key to their successful applicability in practice. Approaches have been already developed to ensure system correctness after arbitrary process changes at the syntactical level (e.g., avoiding inconsistencies ...
- articleApril 2007
A process-based methodology for designing event-based mobile composite applications
Data & Knowledge Engineering (DAKE), Volume 61, Issue 1Pages 6–22https://doi.org/10.1016/j.datak.2006.04.004Mobile application developers should be able to specify how applications can adapt to changing conditions, and to later reconfigure the application to suit new circumstances. Event-based communication have been advocated to facilitate such dynamic ...
- articleOctober 2006
SnoopIB: interval-based event specification and detection for active databases
Data & Knowledge Engineering (DAKE), Volume 59, Issue 1Pages 139–165https://doi.org/10.1016/j.datak.2005.07.009Detection-based semantics does not differentiate between event detection and event occurrence and has been used for detecting events in most of the active systems that support Event-Condition-Action rules. However, this is a limitation for many ...
- articleSeptember 2006
An ontology based approach to the integration of entity-relationship schemas
Data & Knowledge Engineering (DAKE), Volume 58, Issue 3Pages 299–326https://doi.org/10.1016/j.datak.2005.07.005In schema integration, schematic discrepancies occur when data in one database correspond to metadata in another. We explicitly declare the context that is the meta information relating to the source, classification, property etc. of entities, ...
- articleNovember 2005
The complexity of model checking for propositional default logics
Data & Knowledge Engineering (DAKE), Volume 55, Issue 2Pages 189–202https://doi.org/10.1016/j.datak.2005.03.002We analyze the complexity of deciding whether a propositional interpretation is a model of a default theory for some of the variants of default logic presented in the literature: Reiter's, justified, constrained, rational, and cumulative. We prove that ...
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- articleDecember 2004
A transition logic for schemata conflicts
Data & Knowledge Engineering (DAKE), Volume 51, Issue 3Pages 277–294https://doi.org/10.1016/j.datak.2004.05.004Conflict detection and analysis are of high importance, e.g., when integrating conceptual schemata, such as UML-Specifications, or analysing goal-fulfilment of sets of autonomous agents. In general, models for this introduce unnecessarily complicated ...
- articleJuly 2004
Correctness criteria for dynamic changes in workflow systems: a survey
Data & Knowledge Engineering (DAKE), Volume 50, Issue 1Pages 9–34https://doi.org/10.1016/j.datak.2004.01.002The capability to dynamically adapt in-progress workflows (WF) is an essential requirement for any workflow management system (WfMS). This fact has been recognized by the WF community for a long time and different approaches in the area of adaptive ...
- articleOctober 2003
Variable set semantics for keyed generalized sketches: formal semantics for object identity and abstract syntax for conceptual modeling
Data & Knowledge Engineering (DAKE), Volume 47, Issue 1Pages 1–59https://doi.org/10.1016/S0169-023X(03)00047-8We introduce a mathematical framework where a formal semantics for object identity can be built irrespectively to computer related things like object identifiers, memory allocations etc. Then, on this base, we build formal semantics for a few major ...
- articleApril 2003
Semantic refinement and error correction in large terminological knowledge bases
Data & Knowledge Engineering (DAKE), Volume 45, Issue 1Pages 1–32https://doi.org/10.1016/S0169-023X(02)00153-2Capturing the semantics of concepts in a terminology has been an important problem in AI. A two-level approach has been proposed where concepts are classified into high-level semantic types, with these types constituting a portion of the concepts' ...