Enabling technology for knowledge sharing
AI Magazine
Word sense disambiguation for free-text indexing using a massive semantic network
CIKM '93 Proceedings of the second international conference on Information and knowledge management
A translation approach to portable ontology specifications
Knowledge Acquisition - Special issue: Current issues in knowledge modeling
WordNet: a lexical database for English
Communications of the ACM
Web document clustering: a feasibility demonstration
Proceedings of the 21st annual international ACM SIGIR conference on Research and development in information retrieval
Using clustering and classification approaches in interactive retrieval
Information Processing and Management: an International Journal - Special issue on interactivity at the text retrieval conference (TREC)
Placing search in context: the concept revisited
Proceedings of the 10th international conference on World Wide Web
Modern Information Retrieval
Document clustering with committees
SIGIR '02 Proceedings of the 25th annual international ACM SIGIR conference on Research and development in information retrieval
On the MSE robustness of batching estimators
Proceedings of the 33nd conference on Winter simulation
Why so many clustering algorithms: a position paper
ACM SIGKDD Explorations Newsletter
Knowledge-based extraction of named entities
Proceedings of the eleventh international conference on Information and knowledge management
Using WordNet and Lexical Operators to Improve Internet Searches
IEEE Internet Computing
Managing Semantic Content for the Web
IEEE Internet Computing
An Approach for Measuring Semantic Similarity between Words Using Multiple Information Sources
IEEE Transactions on Knowledge and Data Engineering
Information Representation and Retrieval in the Digital Age
Information Representation and Retrieval in the Digital Age
ANLC '00 Proceedings of the sixth conference on Applied natural language processing
Multidocument summarization: An added value to clustering in interactive retrieval
ACM Transactions on Information Systems (TOIS)
QueryFind: Search Ranking Based on Users' Feedback and Expert's Agreement
EEE '04 Proceedings of the 2004 IEEE International Conference on e-Technology, e-Commerce and e-Service (EEE'04)
Proceedings of the 13th international conference on World Wide Web
Web question answering through automatically learned patterns
Proceedings of the 4th ACM/IEEE-CS joint conference on Digital libraries
Introduction to special issue on the use of context in multimedia information systems
ACM Transactions on Multimedia Computing, Communications, and Applications (TOMCCAP)
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Information retrieval is moving beyond the stage where users simply type one or more keywords and retrieve a ranked list of documents. In such a scenario users have to go through the returned documents in order to find what they are actually looking for. More often they would like to get targeted answers to their queries without extraneous information, even if their requirements are not well specified. In this paper we propose an approach for designing a web retrieval system able to find the desired information through several interactions with the users. The proposed approach allows to overcome the problems deriving from ambiguous or too vague queries, using semantic search and topic detection techniques. The results of the very first experiments on a prototype system are also reported.