@inproceedings{93dbf5bbb0b846ed936233e498a94181,
title = "Comparison of different ontology-based query expansion algorithms for effective image retrieval",
abstract = "We study several semantic concept-based query expansion and re-ranking scheme and compare different ontology-based expansion methods in image search and retrieval. In particular, we exploit the two concept similarities of different concept expansion ontology-WordNet Similarity, Wikipedia Similarity. Furthermore, we compare the keywords semantic distance with the precision of image search results with query expansion according to different concept expansion algorithms. We also compare the image retrieval precision of searching with the expanded query and original plain query. Preliminary experiments have been able to demonstrate that the two proposed retrieval mechanism has the potential to outperform unaided approaches.",
keywords = "concept distance, Image retrieval, ontology, query expansion",
author = "LEUNG, {Clement H C} and Yuanxi Li",
note = "Copyright: Copyright 2012 Elsevier B.V., All rights reserved.; 2011 International Conference on Signal Processing, Image Processing and Pattern Recognition, SIP 2011, Held as Part of the 3rd International Mega-Conference on Future-Generation Information Technology, FGIT 2011, in Conjunction with GDC 2011 ; Conference date: 08-12-2011 Through 10-12-2011",
year = "2011",
doi = "10.1007/978-3-642-27183-0_31",
language = "English",
isbn = "9783642271823",
series = "Communications in Computer and Information Science",
pages = "291--299",
booktitle = "Signal Processing, Image Processing and Pattern Recognition - Int. Conf., SIP 2011, Held as Part of the Future Generation Information Technology Conf., FGIT 2011, in Conjunction with GDC 2011, Proc.",
}