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Ontology-based Semantic Metadata Validation Vilho Raatikka and Eero Hyv¨onen
Ontology-based Semantic Metadata Validation Vilho Raatikka and Eero Hyv¨onen

... numeric, an integer, or a number type. A more difficult question is how to combine different database schemas. Syntactic and semantic harmonization entails that one is be able to tell how to find the corresponding data values in different databases, e.g., the name or the material of a collection it ...
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... Thank you for being a part of the 5th Annual SharePoint Saturday for the greater Houston area! • Please turn off all electronic devices or set them to vibrate • If you must take a phone call, please do so in the hall so as not to disturb others • Special thanks to our Title Sponsor, ProSymmetry ...
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... configurable data organization, and binary compatibility across a range of platforms. But, in spite of these anticipated advantages, we began to have problems with the OODB’s performance, vendor support, and missing features as the data volume increased. After we could no longer meet our user commun ...
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... The data has to be properly grouped for these to work. For example, in the above query, we simply went through the whole table. If we wanted to generate a list of students with a maximum and average grade for each particular student, we'd have a problem. For that, we need to use the GROUP BY clause. ...
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Relational model



The relational model for database management is an approach to managing data using a structure and language consistent with first-order predicate logic, first described in 1969 by Edgar F. Codd. In the relational model of a database, all data is represented in terms of tuples, grouped into relations. A database organized in terms of the relational model is a relational database.The purpose of the relational model is to provide a declarative method for specifying data and queries: users directly state what information the database contains and what information they want from it, and let the database management system software take care of describing data structures for storing the data and retrieval procedures for answering queries.Most relational databases use the SQL data definition and query language; these systems implement what can be regarded as an engineering approximation to the relational model. A table in an SQL database schema corresponds to a predicate variable; the contents of a table to a relation; key constraints, other constraints, and SQL queries correspond to predicates. However, SQL databases deviate from the relational model in many details, and Codd fiercely argued against deviations that compromise the original principles.
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