Ontological Learning Assistant for Knowledge Discovery and Data Mining

Author

Choinski, Marcin ; Chudziak, Jaroslaw A.

Author_Institution

Inst. of Comput. Sci., Warsaw Univ. of Technol., Warsaw, Poland

fYear

2009

fDate

12-14 Oct. 2009

Firstpage

147

Lastpage

155

Abstract

In this paper we propose a concept of Ontological Learning Assistant (OLA)-an ontology-based KDD¹ Support Environment (KDDSE) platform for carrying out knowledge discovery. The concept is based on the critical analysis of our state-of-the-art study in intelligent KDD support utilizing ontologies. We emphasize the fundamental role of knowledge transfer and domain and technology experts cooperation. OLA´s main goal is to provide means of their mutual understanding and leverage the domain and technology knowledge by the use of ontologies.

Keywords

case-based reasoning; data analysis; data mining; ontologies (artificial intelligence); reviews; case-based reasoning; critical analysis; data mining; intelligent KDD support; knowledge discovery; knowledge transfer; ontological learning assistant; state of the art study; technology experts cooperation; Bismuth; Business; Companies; Computer science; Data mining; Databases; Information systems; Machine learning; Ontologies; Turning; Case Based Reasoning; Data Mining; Knowledge Discovery; Meta-Learning; Ontologies;

fLanguage

English

Publisher

ieee

Conference_Titel

Computer Science and Information Technology, 2009. IMCSIT '09. International Multiconference on

Conference_Location

Mragowo

Print_ISBN

978-1-4244-5314-6

Type

conf

DOI

10.1109/IMCSIT.2009.5352735

Filename

5352735