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Titlebook: Conceptual Modeling - ER 2006; 25th International C David W. Embley,Antoni Olivé,Sudha Ram Conference proceedings 2006 Springer-Verlag Berl

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Database to Semantic Web Mapping Using RDF Query Languagesry language, as long as it is closed within RDF. Consequently, a Semantic Web developer does not need to learn and adopt a new mapping language, but he may perform the mapping task using his preferred RDF query language.
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Studies in Systems, Decision and Controlontext-driven approach suggests two steps. The first step consists of developing a model for anchoring context to data flowing between Web services. In the second step, we use this model to support the semantic mediation between Web services engaged in a composition.
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https://doi.org/10.1057/9780230594708s providing a . to mediate the interaction between the publisher and the reader. The schema describes how to construct a temporal data collection by “gluing” individual states into an integrated history.
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Studies in Systems, Decision and Controlway. Based on the formalization, it proposes a method based on the operational semantics of the .-calculus to automate the verification of compatibility between two services and presents an algorithm to measure the compatibility degree quantitatively.
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Studies in Systems, Decision and Control derived from a global execution history and using user-defined correctness criteria. This paper presents the abstract execution model and demonstrates its use. We also outline future directions for incorporating application exception handling and build a simulation framework for the DeltaGrid system.
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https://doi.org/10.1007/978-3-030-67163-1 dimensions. Furthermore, we present the results of two experiments with 187 and 124 business students respectively, designed to test the proposed model and the generated hypotheses. The results largely support the developed model and have implications for both theory and practice of quality evaluation of conceptual models.
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https://doi.org/10.1007/978-3-031-37697-9ical position. Third, we show how the ontology proposed here can be used to provide real-world semantics and sound modeling guidelines for the modeling constructs of Attributes, Weak Entities and Datatypes. Finally, we compare the ontology proposed here with BWW, thus demonstrating its benefits.
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