Unsupervised query segmentation using generative language models and wikipedia
Proceedings of the 17th international conference on World Wide Web
A unified and discriminative model for query refinement
Proceedings of the 31st annual international ACM SIGIR conference on Research and development in information retrieval
A Query Substitution-Search Result Refinement Approach for Long Query Web Searches
WI-IAT '09 Proceedings of the 2009 IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology - Volume 01
A natural language query interface to structured information
ESWC'08 Proceedings of the 5th European semantic web conference on The semantic web: research and applications
YAGO2: exploring and querying world knowledge in time, space, context, and many languages
Proceedings of the 20th international conference companion on World wide web
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The last generation of search engines is confronted with complex queries, whose expression goes beyond the capability of the Bag of Word model and requires the systems which understand query sentences. Among these queries, huge importance is taken by geo-referenced queries, i.e. queries whose understanding requires localizing objects of interest, where the user location is the most important parameter. In this paper, we focus on geo-referenced queries and show how natural language analysis can be used to decompose queries into sub-queries and associating them to suitable real-world objects. In this paper we propose a syntactic and semantic approach, which uses syntactic query segmentation techniques and the ontological notion of geographic concepts to produce good query interpretations; an analysis of the method shows its practical viability.