Zinātniskās darbības atbalsta sistēma
Latviešu English

Publikācija: Database Analysis for Ontology Learning

Publikācijas veids Zinātniskais raksts, kas indeksēts Web of science un/vai Scopus datu bāzē
Pamatdarbībai piesaistītais finansējums Nav zināms
Aizstāvēšana: ,
Publikācijas valoda English (en)
Nosaukums oriģinālvalodā Database Analysis for Ontology Learning
Pētniecības nozare 2. Inženierzinātnes un tehnoloģijas
Pētniecības apakšnozare 2.2. Elektrotehnika, elektronika, informācijas un komunikāciju tehnoloģijas
Autori Henrihs Gorskis
Ludmila Aleksejeva
Inese Poļaka
Atslēgas vārdi Database analysis, domain knowledge, knowledge engineering, ontology
Anotācija This paper proposes a database analysis method aimed at the process of building a new ontology. The analysis is based on the idea that a database already contains indirect knowledge of the domain. By finding information about the values contained in the database tables and fields, it is possible to extract some of this knowledge. The obtained information can then be used as the basis for ontology concept creation. The information consists of statistical information about the values in a field, detected distinct values and their distributions, and implicit foreign-key to primary-key relationship detection. Different aspects of the information about the values in the fields, obtained from the analysis, can be used to create value-based and other ontology concepts. The proposed method has been applied on a medical database, containing records about respondents in a study of gastric cancer risk. The inconsistencies and hurdles from working with a database and ways of dealing with them are also discussed in the paper.
DOI: 10.1016/j.procs.2016.09.377
Hipersaite: http://www.sciencedirect.com/science/article/pii/S1877050916325571 
Atsauce Gorskis, H., Aleksejeva, L., Poļaka, I. Database Analysis for Ontology Learning. Procedia Computer Science, 2016, Vol.102, 113.-120.lpp. ISSN 1877-0509. Pieejams: doi:10.1016/j.procs.2016.09.377
ID 23105