Temporal Data and the Relational Model
Temporal Data and the Relational Model
Composing, optimizing, and executing plans for bioinformatics web services
The VLDB Journal — The International Journal on Very Large Data Bases
Semantics to energize the full services spectrum
Communications of the ACM - Services science
Fundamentals of Database Systems (5th Edition)
Fundamentals of Database Systems (5th Edition)
SOA Principles of Service Design (The Prentice Hall Service-Oriented Computing Series from Thomas Erl)
Applied Ontology
Merging ontologies requires interlocking institutional worlds
Applied Ontology
Let's talk about our “being”: A linguistic-based ontology framework for coordinating agents
Applied Ontology - Formal Ontologies for Communicating Agents
Applied Ontology - Formal Ontologies for Communicating Agents
An ontology engineering methodology for DOGMA
Applied Ontology - Ontological Foundations of Conceptual Modelling
Proceedings of the 2007 conference on Ontology and the Semantic Web
An introduction to context logic
WoLLIC'07 Proceedings of the 14th international conference on Logic, language, information and computation
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In this work we have developed a formal ontology for perdurants suitable for representing interlocking institutional worlds in the general area of interoperating information systems. The formal ontology is a specialization of the perdurant elements of the DOLCE and Bunge-Wand-Weber universal formal ontologies using an abstract material ontology based on the theory of speech acts embodied in a method of information systems design taken from the literature. The perdurant formal ontology is necessarily integrated with an endurant formal ontology. The one used is taken from the literature. Like the formal endurant ontology used, our formal perdurant ontology is represented as a UML profile, enabling us to re-use the vast structure of UML. The formal endurant ontology was able to re-use the UML Instances model, so did not have to make specific provision for individuals. Our formal perdurant ontology was not able to do something comparable, because UML does not have a concept of a static description of instances of perdurants. We therefore needed to develop an instances model, based on the dynamic behavior typical of database transaction management systems which must preserve the integrity of a database under conditions of catastrophic system failure. Finally, we looked at the question of how institutional worlds interlock using our formal ontology, and discovered that the process is far more complex than importing objects from one ontology into another.