Zinātniskās darbības atbalsta sistēma
Publikācija: Ontology Building Using Classification Rules and Discovered Concepts
| Publikācijas veids | Publikācija RTU zinātniskajā žurnālā |
|---|---|
| Pamatdarbībai piesaistītais finansējums | Nav zināms |
| Aizstāvēšana: | , |
| Publikācijas valoda | English (en) |
| Nosaukums oriģinālvalodā | Ontology Building Using Classification Rules and Discovered Concepts |
| Pētniecības nozare | 2. Inženierzinātnes un tehnoloģijas |
| Pētniecības apakšnozare | 2.2. Elektrotehnika, elektronika, informācijas un komunikāciju tehnoloģijas |
| Autori |
Henrihs Gorskis
Arkādijs Borisovs |
| Atslēgas vārdi | Building, classification tree, ontology |
| Anotācija | Building an ontology is a difficult and time-consuming task. In order to make this task easier and faster, some automatic methods can be employed. This paper examines the feasibility of using rules and concepts discovered during the classification tree building process in the C4.5 algorithm, in a completely automated way, for the purposes of building an ontology from data. By building the ontology directly from continuous data, concepts and relations can be discovered without specific knowledge about the domain. This paper also examines how this method reproduces the classification capabilities of the classification three within an ontology using concepts and class expression axioms. |
| DOI: | 10.1515/itms-2015-0006 |
| Atsauce | Gorskis, H., Borisovs, A. Ontology Building Using Classification Rules and Discovered Concepts. Information Technology and Management Science. Nr.18, 2015, 37.-41.lpp. ISSN 2255-9086. e-ISSN 2255-9094. Pieejams: doi:10.1515/itms-2015-0006 |
| Pilnais teksts | Pilnais teksts |
| ID | 22118 |