The week's pick
Reseach Article
A Novel Image Retrieval Approach for Semantic Web
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 37 - Number 8 |
| Year of Publication: 2012 |
| Authors: G.Nagarajan, K.K.Thyagharajan |
10.5120/4627-6651
|
G.Nagarajan, K.K.Thyagharajan . A Novel Image Retrieval Approach for Semantic Web. International Journal of Computer Applications. 37, 8 ( January 2012), 10-14. DOI=10.5120/4627-6651
Abstract
In this world of information technology revolution we human wants a way of automation in every field, but the intelligent technique behind the way how we visualize an image is not equivalent to how an computer system visualize .In web for a system the image is simply a resource with some specific hyper-link path. In this paper we propose an idea of giving semantic to a web image page so a system can understand the semantic behind the image which automatically increases the efficiency of image search. So we represent a way of converting an ordinary Syntactic page into a Semantic web page with corresponding Ontology which would pave the way of advancement in Semantic Web Learning technology.
References
- G.Nagarajan, Prof.K.K.Thyagharajan,"A Survey on the Ethical Implications of Semantic Web Technology": Journal of Advanced Reasearch in Computer Engineering,Vol.4No.1 jan-june 2010
- R.I.Minu,Prof.K.K.Thyagharajan,"Evolution of Semantic Web and Its Ontology": Second Conference on Digital Convergence 2009
- Yihun Alemu et al,"Image Retrieval in Multimedia Database:A Survey":Fifth Internation conference on intelligent information hiding and multimedia signal processing 2009
- Adolfazl Lakdashti,"Semantic- Based Image Retrieval: A Fuzzy Modeling Approach",IEEE conference 2008
- Yufei Li et al,"A Relation-Based Search Engine in Semantic Web": IEEE Transaction on Knowledge and Data Engineering, Vol 19,No.2,2007
- Gustavo Carneiro et al,"Supervised Learning of Semantic Classes for Image Annotion and Retrieval",IEEE Transcation on Pattern Analysis and Machine Intelligence,Vol:29,No:3,2007
- Hsien-Tsung Chang,"Web Image retrival systems with automatic web image annotaing techniques":WSEAS trancaction on Information science and application
- David G.Lowe,"Distinctive Image feature from scale Invariant Keypoints":International Journal of computer vision 2004
- Jean-Michel Morel and Guoshen Yu,"ASIFT:A New framework for fully affine invariant image comparison",SIAM J IMAGE ScIENCES Vol.2,No.2,2009
- Siddarth Jonathan JB et al ,"SQUINT SVM for identification of relevant sections in web page for web search": 2009 second international conference on intelligent computation technology and automation
- Diana Maynard et al ,"NLP techniques for term extration and ontology population"2008 conference on Ontology Learning and Population, Netherlands.
- Sabrina T et al,"Extending ontology tree using NLP technique, In: Proceedings of National Conference on Research & Development in Computer Science REDECS 2001.
- Juan D Velaquez and Jose I.Ferenandez," Towards the identification of important words from the web users point of view" International Workshop on Intelligent Web Based Tools (IWBT-07) in conjunction with 19th IEEE ICTAI-07,2007.
- Zhu,J.,Uren,V.&Motta,E.,2005”,Espotter:Adaptive named entity recognition for web browsing”. In Intelligent IT tools for knowledge Management System,KMTOOLS 2005.pp.518 – 529
- R.I.Minu and K.K.Thyagharajan "Automatic image classification using SVM Classifier"CiiT International Journal of Data Mining Knowledge Engineering,July issue,2011
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