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CLEF
2003
Springer
15 years 12 months ago
Pruning Texts with NLP and Expanding Queries with an Ontology: TagSearch
: The basic line of our action is first to use natural language processing to prune the texts and the query, and secondly to use an ontology to expand the queries. Last year The sy...
Gil Francopoulo
ICDE
2012
IEEE
269views Database» more  ICDE 2012»
13 years 9 months ago
A Deep Embedding of Queries into Ruby
—We demonstrate SWITCH, a deep embedding of relational queries into RUBY and RUBY on RAILS. With SWITCH, there is no syntactic or stylistic difference between RUBY programs that ...
Torsten Grust, Manuel Mayr
DEXAW
2009
IEEE
139views Database» more  DEXAW 2009»
16 years 1 months ago
Improving Web Page Retrieval Using Search Context from Clicked Domain Names
Abstract—Search context is a crucial factor that helps to understand a user’s information need in ad-hoc Web page retrieval. A query log of a search engine contains rich inform...
Rongmei Li
IJCNLP
2004
Springer
16 years 1 days ago
Window-Based Method for Information Retrieval
In this paper, a series of window-based methods is proposed for information retrieval. Compared with traditional tf-idf model, our approaches are based on two new key notions. The ...
Qianli Jin, Jun Zhao, Bo Xu
AMAST
2008
Springer
15 years 8 months ago
Generating Specialized Rules and Programs for Demand-Driven Analysis
Many complex analysis problems can be most clearly and easily specified as logic rules and queries, where rules specify how given facts can be combined to infer new facts, and quer...
K. Tuncay Tekle, Katia Hristova, Yanhong A. Liu