Titlebook: Advances in Conceptual Modeling – Applications and Challenges; ER 2010 Workshops AC Juan Trujillo,Gillian Dobbie,Flavius Frasincar Conferen

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https://doi.org/10.1007/978-3-642-16385-2Argumentation; GIS; UML; conceptual modeling; knowledge; learning; life sciences; modeling; ontologies; ontol

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Armando Rossi M.D.,Giorgio Rossi M.D.ibing the relevant data through well-structured sentences, and on publishing the sentences as Web pages, following the W3C and the Google recommendations. For conventional data, the sentences are generated with the help of database views. For vector data, the topological relationships between the ob

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https://doi.org/10.1007/978-3-642-33581-5nterpreting them. There are many challenging problems in the processing of life sciences data that require effective support by novel theories, methods and technologies. Conceptual modelling is the key for developing high-performance information systems that put these theories, methods and technolog

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