Scatter/Gather: a cluster-based approach to browsing large document collections
SIGIR '92 Proceedings of the 15th annual international ACM SIGIR conference on Research and development in information retrieval
Mining association rules between sets of items in large databases
SIGMOD '93 Proceedings of the 1993 ACM SIGMOD international conference on Management of data
Grouper: a dynamic clustering interface to Web search results
WWW '99 Proceedings of the eighth international conference on World Wide Web
Information retrieval on the web
ACM Computing Surveys (CSUR)
Ontologies: a silver bullet for knowledge management and electronic commerce
Ontologies: a silver bullet for knowledge management and electronic commerce
Thematic mapping - from unstructured documents to taxonomies
Proceedings of the eleventh international conference on Information and knowledge management
Mining the Web for Synonyms: PMI-IR versus LSA on TOEFL
EMCL '01 Proceedings of the 12th European Conference on Machine Learning
SCIE '97 International Summer School on Information Extraction: A Multidisciplinary Approach to an Emerging Information Technology
Towards Very Large Terminological Knowledge Bases: A Case Study from Medicine
AI '00 Proceedings of the 13th Biennial Conference of the Canadian Society on Computational Studies of Intelligence: Advances in Artificial Intelligence
Automatic retrieval and clustering of similar words
COLING '98 Proceedings of the 17th international conference on Computational linguistics - Volume 2
Automatic acquisition of hyponyms from large text corpora
COLING '92 Proceedings of the 14th conference on Computational linguistics - Volume 2
ACM SIGKDD Explorations Newsletter
Learning Domain Ontologies from Document Warehouses and Dedicated Web Sites
Computational Linguistics
Extracting product features and opinions from reviews
HLT '05 Proceedings of the conference on Human Language Technology and Empirical Methods in Natural Language Processing
The Google Similarity Distance
IEEE Transactions on Knowledge and Data Engineering
Pattern-based automatic taxonomy learning from the Web
AI Communications
Automatic discovery of synonyms and lexicalizations from the Web
Proceedings of the 2005 conference on Artificial Intelligence Research and Development
Unsupervised named-entity extraction from the Web: An experimental study
Artificial Intelligence
Topological tree clustering of web search results
IDEAL'06 Proceedings of the 7th international conference on Intelligent Data Engineering and Automated Learning
On the use of consensus clustering for incremental learning of topic hierarchies
SBIA'12 Proceedings of the 21st Brazilian conference on Advances in Artificial Intelligence
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Web-based medical digital libraries contain a huge amount of valuable, up-to-date health care information. However, their size, their keyword-based access methods and their lack of semantic structure make it difficult to find the desired information. In this paper we present an automatic, unsupervised and domain-independent approach for structuring the resources available in an electronic repository. The system automatically detects and extracts the main topics related to a given domain, building a taxonomical structure. Our Web-based system is integrated smoothly with the digital library's search engine, offering a tool for accessing the library's resources by hierarchically browsing domain topics in a comprehensive and natural way. The system has been tested over the well-known PubMed medical library, obtaining better topic hierarchies than those generated by widely-used taxonomic search engines employing clustering techniques.