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.

Изтегляне


775 изтегляния от 20.11.2018 г.
Изтегляния по държави
NA (486) / Bulgaria  (26) / China  (4) / Cote D'Ivoire  (2) / France  (23) / Germany  (68) / India  (6) / Norway  (1) / Poland  (1) / Portugal  (1) / Russian Federation  (19) / Senegal  (3) / Sweden  (4) / Turkey  (27) / Ukraine  (8) / United Kingdom  (9) / United States  (87)