Title :
A novel knowledge management scheme for IRS
Author :
Khodaskar, A.A. ; Ladhake, S.A.
Author_Institution :
Comput. Sci. & Eng., SIPNA COET, Amravati, India
Abstract :
This paper presents a brief overview of knowledge exploitation in image retrieval system (IRS). We also proposed framework for knowledge based image retrieval system which integrates image mining, hybrid knowledge representation techniques and knowledge log. This system derived knowledge from image database by image mining, which is represented by using hybrid methodology of semantic net and frame. We introduce knowledge log which maintain previous query result and conclude conclusions from them for future use by using learning system associated with it. We work on small image database. Experimental result shows improved system performance which is studied with respect to parameters like precision, recall and accuracy.
Keywords :
data mining; image retrieval; knowledge management; knowledge representation; learning (artificial intelligence); visual databases; IRS; accuracy; hybrid knowledge representation techniques; hybrid semantic net methodology; image database; image mining; knowledge based image retrieval system; knowledge exploitation; knowledge log; knowledge management scheme; learning system; precision; recall; Biomedical imaging; Cognition; Computers; Image retrieval; Knowledge based systems; Learning systems; Semantics; Image retrieval; Knowledge log; hybrid knowledge representation techniques; image mining; knowledge log;
Conference_Titel :
Computer Communication and Informatics (ICCCI), 2015 International Conference on
Conference_Location :
Coimbatore
Print_ISBN :
978-1-4799-6804-6
DOI :
10.1109/ICCCI.2015.7218094