Title :
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
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;
Conference_Titel :
Computer Science and Information Technology, 2009. IMCSIT '09. International Multiconference on
Conference_Location :
Mragowo
Print_ISBN :
978-1-4244-5314-6
DOI :
10.1109/IMCSIT.2009.5352735