An intelligent approach to handling imperfect information in concept-based natural language queries
ACM Transactions on Information Systems (TOIS)
TRIPLE - A Query, Inference, and Transformation Language for the Semantic Web
ISWC '02 Proceedings of the First International Semantic Web Conference on The Semantic Web
Anchor text mining for translation of Web queries: A transitive translation approach
ACM Transactions on Information Systems (TOIS)
Translating unknown cross-lingual queries in digital libraries using a web-based approach
Proceedings of the 4th ACM/IEEE-CS joint conference on Digital libraries
Multilingual Web Retrieval: An Experiment on a Multilingual Business Intelligence Portal
HICSS '05 Proceedings of the Proceedings of the 38th Annual Hawaii International Conference on System Sciences (HICSS'05) - Track 1 - Volume 01
Concept-based querying in mediator systems
The VLDB Journal — The International Journal on Very Large Data Bases
Knowledge-based query expansion to support scenario-specific retrieval of medical free text
Proceedings of the 2005 ACM symposium on Applied computing
Personalized systems: models and methods from an IR and DB perspective
VLDB '05 Proceedings of the 31st international conference on Very large data bases
Concept-based interactive query expansion
Proceedings of the 14th ACM international conference on Information and knowledge management
Report on the DB/IR panel at SIGMOD 2005
ACM SIGMOD Record
Simplifying syntactic and semantic parsing of NL-based queries in advanced application domains
Data & Knowledge Engineering - Special issue: Natural language and database and information systems: NLDB 03
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Developing efficient and meaningful search mechanisms for the Web is an active area of research in Information Management. With information explosion on the Internet, existing search engines encounter difficulty in accurate document positioning and retrieval. This situation is exacerbated by the language barrier for accessing web content provided in different languages. Sophisticated content-based search engines are needed for helping users find useful information quickly from multilingual knowledge sources on the Web. This paper presents a parametric linguistics based approach for flexible and scalable multilingual web querying with low complexity in query translation. The proposed methodology and the system architecture are discussed.