Query expansion using lexical-semantic relations
SIGIR '94 Proceedings of the 17th annual international ACM SIGIR conference on Research and development in information retrieval
Query expansion using local and global document analysis
SIGIR '96 Proceedings of the 19th annual international ACM SIGIR conference on Research and development in information retrieval
Information retrieval on the web
ACM Computing Surveys (CSUR)
Text Retrieval Systems for the Web
Programming and Computing Software
An effective approach to document retrieval via utilizing WordNet and recognizing phrases
Proceedings of the 27th annual international ACM SIGIR conference on Research and development in information retrieval
ConceptNet — A Practical Commonsense Reasoning Tool-Kit
BT Technology Journal
Data & Knowledge Engineering
A review of ontology based query expansion
Information Processing and Management: an International Journal
Semisupervised Query Expansion with Minimal Feedback
IEEE Transactions on Knowledge and Data Engineering
Improving web-query processing through semantic knowledge
Data & Knowledge Engineering
A Revisit of Query Expansion with Different Semantic Levels
DASFAA '09 Proceedings of the 14th International Conference on Database Systems for Advanced Applications
Internet search: Subdivision-based interactive query expansion and the soft semantic web
Applied Soft Computing
Improving Recall and Precision of a Personalized Semantic Search Engine for E-learning
ICDS '10 Proceedings of the 2010 Fourth International Conference on Digital Society
A Framework for Query Expansion Based on Viewpoint-Oriented Manipulation of the Related Concepts
AMS '10 Proceedings of the 2010 Fourth Asia International Conference on Mathematical/Analytical Modelling and Computer Simulation
A new semantic similarity measuring method based on web search engines
WSEAS Transactions on Computers
Query expansion with conceptnet and wordnet: an intrinsic comparison
AIRS'06 Proceedings of the Third Asia conference on Information Retrieval Technology
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The evolution in the digital technology from the last few decades and different multimedia sources like Broadcast news, Movies, Videos, images, etc. have increased the size volume of the digital media daily. Due to this explosive growth in the digital media volume, it's strongly urged for the system that efficiently and effectively compiles the user demand and retrieving the relevant images. In this paper, the user query will be expanded through an opensource knowledge base WordNet and ConceptNet for retrieves the images on the base of different synonyms and concepts. This technique covers the word mismatch and word sense disambiguation (WSD) problem. Propose method effectively applied on the open benchmark image dataset LabelMe. The experimental results show that of the propose techniques have improved the retrieval performance over the traditional ones and get the accuracy up to 94% for single word and 83% for sentence word queries.