These ontologies may contain redundant concepts (computed from primitive concepts). At the beginning of the development of ontologies, the relationship between ...
A design methodology dedicated to semantic database including the main phases of the lifecycle of the database development: conceptual, logical, ...
May 25, 2017 · Bibliographic details on Be careful when designing semantic databases: Data and concepts redundancy.
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What is redundant data with regard to database design?
Is a feature of DBMS to avoid data redundancy and inconsistency?
Dec 21, 2012 · Normalizing your schema (i.e. removing redundancy) is not designed to address efficiency in time, but rather a) efficiency in space (by ...
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In this paper, we propose a design methodology dedicated to S D B including the main phases of the lifecycle of the database development: conceptual, logical ...
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38) Identify the aspect of a well-structured database that is incorrect. A) Data is consistent. B) Redundancy is minimized and controlled. C) All data is stored ...
The purpose of normalization in database design is to reduce data redundancy and inconsistencies by organizing data into multiple related tables with well- ...
May 21, 2021 · DB2 contains unique information such as about me and some interests. However it also contains some redundant information such as profile url and username and ...
Missing: careful semantic concepts
Aug 7, 2015 · A data model is a conceptual representation of how data is organized and related within a system, specifying the structure, constraints, and ...
... Database named OntoDB is proposed. View. Show abstract. Be careful when designing semantic databases: Data and concepts redundancy. Conference Paper. May 2013.