Fast and effective query refinement
Proceedings of the 20th annual international ACM SIGIR conference on Research and development in information retrieval
Improving automatic query expansion
Proceedings of the 21st annual international ACM SIGIR conference on Research and development in information retrieval
Placing search in context: the concept revisited
ACM Transactions on Information Systems (TOIS)
An Information-Theoretic Definition of Similarity
ICML '98 Proceedings of the Fifteenth International Conference on Machine Learning
Automatic retrieval and clustering of similar words
COLING '98 Proceedings of the 17th international conference on Computational linguistics - Volume 2
Verbs semantics and lexical selection
ACL '94 Proceedings of the 32nd annual meeting on Association for Computational Linguistics
A web-based kernel function for measuring the similarity of short text snippets
Proceedings of the 15th international conference on World Wide Web
POLYPHONET: an advanced social network extraction system from the web
Proceedings of the 15th international conference on World Wide Web
Novel association measures using web search with double checking
ACL-44 Proceedings of the 21st International Conference on Computational Linguistics and the 44th annual meeting of the Association for Computational Linguistics
Exploiting semantic role labeling, WordNet and Wikipedia for coreference resolution
HLT-NAACL '06 Proceedings of the main conference on Human Language Technology Conference of the North American Chapter of the Association of Computational Linguistics
Measuring semantic similarity between words using web search engines
Proceedings of the 16th international conference on World Wide Web
Graph-based word clustering using a web search engine
EMNLP '06 Proceedings of the 2006 Conference on Empirical Methods in Natural Language Processing
Computing semantic relatedness using Wikipedia-based explicit semantic analysis
IJCAI'07 Proceedings of the 20th international joint conference on Artifical intelligence
Extended gloss overlaps as a measure of semantic relatedness
IJCAI'03 Proceedings of the 18th international joint conference on Artificial intelligence
Ontologies are us: a unified model of social networks and semantics
ISWC'05 Proceedings of the 4th international conference on The Semantic Web
Measuring intrinsic quality of semantic search based on feature vectors
International Journal of Metadata, Semantics and Ontologies
International Journal of Web and Grid Services
Entity search: building bridges between two worlds
Proceedings of the 3rd International Semantic Search Workshop
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The World Wide Web (WWW) has provided us with a plethora of information. However, given its unstructured format, this information is useful mainly to humans and cannot be effectively interpreted by machines. The Semantic Web provides information in computer understandable structures (e.g., RDF), but the amount of information on the Semantic Web is limited compared to the amount of information available on the Web. The problem of generating a bridge between the Web and Semantic Web has recently gained a lot of attention. In this paper, we propose a Concept Extractor and Relationship Identifier (CE-RI) system, which acts as a bridge between Web and Semantic Web by providing a “semantic” way of presenting the search results to the user. The Concept Extractor (CE) component of our system makes use of the power of existing search engines coupled with the elegance of PageRank to extract high quality concepts related to the given query. The Relationship Identifier (RI) component finds relationships between the extracted concepts and the given query and presents them to the user in the form of a graph. It also stores the generated results formally, in the form of RDF triples, to facilitate better inferences as compared to traditional search engines. We evaluate our system by comparing its components CE and RI with other similar ”state of the art” concept detection and relationship identification systems, respectively. The results produced by our system are either similar or better than those generated by other systems.