Selection and information: a class-based approach to lexical relationships
Selection and information: a class-based approach to lexical relationships
WordNet: a lexical database for English
Communications of the ACM
Reexamining the cluster hypothesis: scatter/gather on retrieval results
SIGIR '96 Proceedings of the 19th annual international ACM SIGIR conference on Research and development in information retrieval
Web document clustering: a feasibility demonstration
Proceedings of the 21st annual international ACM SIGIR conference on Research and development in information retrieval
Grouper: a dynamic clustering interface to Web search results
WWW '99 Proceedings of the eighth international conference on World Wide Web
SIGDOC '86 Proceedings of the 5th annual international conference on Systems documentation
A review of web searching studies and a framework for future research
Journal of the American Society for Information Science and Technology
Machine learning in automated text categorization
ACM Computing Surveys (CSUR)
The effectiveness of query-specific hierarchic clustering in information retrieval
Information Processing and Management: an International Journal
Link Based Clustering of Web Search Results
WAIM '01 Proceedings of the Second International Conference on Advances in Web-Age Information Management
Learning to cluster web search results
Proceedings of the 27th annual international ACM SIGIR conference on Research and development in information retrieval
Swoogle: a search and metadata engine for the semantic web
Proceedings of the thirteenth ACM international conference on Information and knowledge management
Hierarchical Clustering Algorithms for Document Datasets
Data Mining and Knowledge Discovery
Lexical disambiguation using simulated annealing
HLT '91 Proceedings of the workshop on Speech and Natural Language
HLT '93 Proceedings of the workshop on Human Language Technology
Foundations of Ajax
Disambiguating noun compounds with latent semantic indexing
COMPUTERM '02 COLING-02 on COMPUTERM 2002: second international workshop on computational terminology - Volume 14
A scalable algorithm for high-quality clustering of web snippets
Proceedings of the 2006 ACM symposium on Applied computing
Querying the web: a multiontology disambiguation method
ICWE '06 Proceedings of the 6th international conference on Web engineering
Supporting exploratory web search with meaningful and stable categorized overviews
Supporting exploratory web search with meaningful and stable categorized overviews
Domain kernels for word sense disambiguation
ACL '05 Proceedings of the 43rd Annual Meeting on Association for Computational Linguistics
The Google Similarity Distance
IEEE Transactions on Knowledge and Data Engineering
A personalized search engine based on Web-snippet hierarchical clustering
Software—Practice & Experience
Categorizing and ranking search engine's results by semantic similarity
Proceedings of the 2nd international conference on Ubiquitous information management and communication
Information integration in the enterprise
Communications of the ACM - Enterprise information integration: and other tools for merging data
YAGO: A Large Ontology from Wikipedia and WordNet
Web Semantics: Science, Services and Agents on the World Wide Web
Web-Based Measure of Semantic Relatedness
WISE '08 Proceedings of the 9th international conference on Web Information Systems Engineering
Sindice.com: a document-oriented lookup index for open linked data
International Journal of Metadata, Semantics and Ontologies
Word sense disambiguation: A survey
ACM Computing Surveys (CSUR)
Web page classification: Features and algorithms
ACM Computing Surveys (CSUR)
Exploiting web search engines to search structured databases
Proceedings of the 18th international conference on World wide web
Large scale integration of senses for the semantic web
Proceedings of the 18th international conference on World wide web
A survey of Web clustering engines
ACM Computing Surveys (CSUR)
Word Sense Disambiguation: Algorithms and Applications
Word Sense Disambiguation: Algorithms and Applications
Word Sense Induction Using Graphs of Collocations
Proceedings of the 2008 conference on ECAI 2008: 18th European Conference on Artificial Intelligence
AAAI'07 Proceedings of the 22nd national conference on Artificial intelligence - Volume 1
DBpedia - A crystallization point for the Web of Data
Web Semantics: Science, Services and Agents on the World Wide Web
Schema Normalization for Improving Schema Matching
ER '09 Proceedings of the 28th International Conference on Conceptual Modeling
Semantic-based grouping of search engine results using WordNet
APWeb/WAIM'07 Proceedings of the joint 9th Asia-Pacific web and 8th international conference on web-age information management conference on Advances in data and web management
A semantics-enhanced language model for unsupervised word sense disambiguation
CICLing'08 Proceedings of the 9th international conference on Computational linguistics and intelligent text processing
Cluster generation and cluster labelling for web snippets: a fast and accurate hierarchical solution
SPIRE'06 Proceedings of the 13th international conference on String Processing and Information Retrieval
Semantic web search engine using ontology, clustering and personalization techniques
ICCSA'12 Proceedings of the 12th international conference on Computational Science and Its Applications - Volume Part IV
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Nowadays, people frequently use different keyword-based web search engines to find the information they need on the web. However, many words are polysemous and, when these words are used to query a search engine, its output usually includes links to web pages referring to their different meanings. Besides, results with different meanings are mixed up, which makes the task of finding the relevant information difficult for the users, especially if the user-intended meanings behind the input keywords are not among the most popular on the web. In this paper, we propose a set of semantics techniques to group the results provided by a traditional search engine into categories defined by the different meanings of the input keywords. Differently from other proposals, our method considers the knowledge provided by ontologies available on the web in order to dynamically define the possible categories. Thus, it is independent of the sources providing the results that must be grouped. Our experimental results show the interest of the proposal.