Zinātniskās darbības atbalsta sistēma
Publikācija: Genetic Algorithm Based Random Selection-Rule Creation for Ontology Building
| Publikācijas veids | Publikācijas konferenču materiālos, kas ir indeksēti Web of Science un/vai SCOPUS |
|---|---|
| Pamatdarbībai piesaistītais finansējums | Citi pētniecības projekti |
| Aizstāvēšana: | , |
| Publikācijas valoda | English (en) |
| Nosaukums oriģinālvalodā | Genetic Algorithm Based Random Selection-Rule Creation for Ontology Building |
| Pētniecības nozare | 2. Inženierzinātnes un tehnoloģijas |
| Pētniecības apakšnozare | 2.2. Elektrotehnika, elektronika, informācijas un komunikāciju tehnoloģijas |
| Autori |
Henrihs Gorskis
Arkādijs Borisovs Ludmila Aleksejeva |
| Atslēgas vārdi | Ontology, databases, genetic algorithm, data mining |
| Anotācija | This paper investigates the possibility of creating ontology concepts from infor-mation contained in a database, by finding random queries with the help of a ge-netic algorithm. Based on the structure of the database random chromosomes are created. Their genes describe possible selection criteria. By using a genetic algo-rithm, these selections are improved. Due to the size of the database, an approach for finding fitness from general characteristics, instead of an in-depth analysis of the data is considered. After the algorithm improving the chromosomes in the population, bet best chromosomes are considered for implementation as ontology concepts for a description of the information contained in the database, in order to help describe data using ontology concepts. |
| DOI: | 10.1007/978-3-319-58088-3_4 |
| Hipersaite: | https://link.springer.com/book/10.1007%2F978-3-319-58088-3  |
| Atsauce | Gorskis, H., Borisovs, A., Aleksejeva, L. Genetic Algorithm Based Random Selection-Rule Creation for Ontology Building. No: Recent Advances in Soft Computing : Proceedings of the 22nd International Conference on Soft Computing (MENDEL 2016). Advances in Intelligent Systems and Computing. Vol.576, Čehija, Brno, 8.-10. jūnijs, 2016. Cham: Springer International Publishing AG, 2017, 34.-45.lpp. ISBN 978-3-319-58087-6. e-ISBN 978-3-319-58088-3. ISSN 2194-5357. e-ISSN 2194-5365. Pieejams: doi:10.1007/978-3-319-58088-3_4 |
| Papildinformācija |
Citējamību skaits:
|
| ID | 26762 |
0