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This paper develops a method that maps an enhanced Entity-Relationship (ER+) schema into a relational schema and normalizes the latter into an inclusion normal form (IN-NF). Unlike classical normalization that concerns individual relations only, IN-NF takes interrelational redundancies into account and characterizes a relational database schema as a whole.
The reduced graph reveals all that is necessary to design a relational database schema.
The formal mapping of the fuzzy UML data model into the fuzzy relational database schema is proposed in the paper.
A graph database is a more natural method for expressing, storing and retrieving data that does not fit well in a standard relational database schema.
On the other hand, D2RQ project [20] provides a mapping between relational database schema and Semantic Web concepts.
D2RQ takes a relational database schema as input and presents the corresponding RDF interface of as output.
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Even when there is no significant mismatch in the data type, the static nature of relational database schemas is not suitable for a dynamic and exploratory environment ([51], p. 13).
Typically each health system has its own custom relational database schemas and data models which inhibit interoperability of healthcare data for multi-institutional data sharing or research studies.
We propose an architecture, called XML meta-generator (XMG), which, after reading a specific document type definition (DTD), automatically generates the corresponding object-relational database schema (OR-Schema), a DI-Decomposer and a DI-Reconstructor, which are explained as follows:.
In a relational database, the schema defines the tables, the fields in each table, and the relationships.
The relational MySQL database schema is segmented into seven main entities: Accession information, genotype information, population information, experiment information, disease observations, R genes and allele mining.
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