МАТЕМАТИКА, КОМПЮТЪРНИ НАУКИ И ОБРАЗОВАНИЕ
ВЕЛИКОТЪРНОВСКИ УНИВЕРСИТЕТ "СВ. СВ. КИРИЛ И МЕТОДИЙ" - УНИВЕРСИТЕТСКО ИЗДАТЕЛСТВО

Expert Knowledge Content Database Design Suggestions from Validation Aspect


Автори:
Ѐva Hajnal Университет Обуда, Секешфехервар, Унгария

Страници: 44-51
DOI: https://doi.org/10.54664/CJRK7682

Резюме:


Expert Knowledge Content Database (EKCD) contains small or medium amount of data but its data content is valuable, which can be determined by expert work. Expert work can be a complex measurement, estimation, or data integration. Database design and validation was analyzed in a case study with EKCD Eulakes – Phytoplankton database of Lake Stechlin. Different data quality metrics was calculated and evaluated, and the content based inconsistency was evaluated. In the conclusion a schema is given for helping the design and validation.


Ключови думи:

database validation, expert database, content type inconsistency.

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589 изтегляния от 20.11.2018 г.