A Novel Image Retrieval Approach for Semantic Web

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. General Terms Image Retrieval and Semantic Web et. al.

[1]  J. Prasad.  SQUINT – SVM for Identification of Relevant Sections in Web , 2006 .

[2]  Enrico Motta,et al.  ESpotter: Adaptive Named Entity Recognition for Web Browsing , 2005, Wissensmanagement.

[3]  Muhammad Ikram,et al.  Image Retrieval in Multimedia Databases: A Survey , 2009, 2009 Fifth International Conference on Intelligent Information Hiding and Multimedia Signal Processing.

[4]  T. Enyakong.  EXTENDING ONTOLOGY TREE USING NLP TECHNIQUE , 2001 .

[5]  R. I. Minu,et al.  Automatic Image Classification Using SVM Classifier , 2011 .

[6]  Jeng-Shyang Pan,et al.  Information Hiding and Multimedia Signal Processing , 2008, J. Digit. Inf. Manag..

[7]  Xiaotao Huang,et al.  A Relation-Based Search Engine in Semantic Web , 2007, IEEE Transactions on Knowledge and Data Engineering.

[8]  Gustavo Carneiro,et al.  Supervised Learning of Semantic Classes for Image Annotation and Retrieval , 2007, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[9]  Diana Maynard,et al.  NLP Techniques for Term Extraction and Ontology Population , 2008, Ontology Learning and Population.

[10]  Matthijs C. Dorst.  Distinctive Image Features from Scale-Invariant Keypoints , 2011 .

[11]  Jean-Michel Morel,et al.  ASIFT: A New Framework for Fully Affine Invariant Image Comparison , 2009, SIAM J. Imaging Sci..

[12]  Ethan Watrall.  Flash MX 2004 , 2003 .

[13]  Mohammad Shahram Moin,et al.  Semantic-based image retrieval: A fuzzy modeling approach , 2008, 2008 IEEE/ACS International Conference on Computer Systems and Applications.