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Download Databases and Information Systems IV: Selected Papers from by O. Vasilecas, J. Eder, A. Caplinskas PDF

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By O. Vasilecas, J. Eder, A. Caplinskas

This e-book includes papers that current unique leads to company modeling and firm engineering, database study, info engineering, facts caliber and knowledge research, IS engineering, internet engineering, and alertness of AI tools. The contributions are from teachers and practitioners from the complete global. The editors wish that the awarded effects will give a contribution to the additional improvement of study within the box of databases and knowledge structures. a few themes of this booklet are: information Integration equipment; information Mining; information versions and Database layout; disbursed Database suggestions and Interoperability; area Ontologies and Concept-Based seek; info platforms and protection; info Warehousing, OLAP, and information Discovery; details platforms, cellular Computing, and brokers; built-in details platforms; clever details brokers; wisdom illustration and information Engineering; wisdom administration; Linguistic elements of knowledge platforms; good judgment and Databases; and Metamodels and version pushed structure.

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Read or Download Databases and Information Systems IV: Selected Papers from the Seventh International Conference DB&IS’2006 PDF

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How does it relate to other concrete representations such as conceptual models and metamodels? How does it related to ontology in the philosophical senses (D1-D3) aforementioned? Additionally, during the years many languages have been used to represent domain ontologies. Examples include Predicate Calculus, KIF, Ontolingua, UML, EER, LINGO, ORM, CML, DAML+OIL, F-Logic, OWL. What are the characteristics that a suitable language to represent conceptual models, in general, and domain ontologies, in particular should have?

Its suitability to model phenomena in a given domain. In Section 2, we elaborate on the notion of a language metamodel. In Section 3, we provide a formal account for the notion of domain ontology as well as for its relation to conceptualization and language metamodel as discussed in Section 1. , an ontology in the sense D2 and D3), and discuss the role played by Formal Ontology in Philosophy (Ontology in the sense D1) in the development of such a system. In Section 5, we make use of the framework of Section 1 and provide a concrete example to illustrate many of the notions discussed in the article, namely, those of foundational and domain ontology, ontology representation language, domain-specific language, and (meta)model.

Reference and Lightweight Ontologies Conceptual Models vary in the way they manage to represent an associated conceptualization. An ontology such as the one in Figure 10 is more accurate than if it 4 These two constraints (i) and (ii) have been formally proved in [10]. 36 G. Guizzardi / On Ontology, Ontologies, Conceptualizations, Modeling Languages were represented in ER, OWL, LINGO or standard UML. This is because the modeling profile used in that model commits to a much richer meta-ontology than the ones underlying these other languages.

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