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» Querying Probabilistic Information Extraction
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ICDE
2010
IEEE
210views Database» more  ICDE 2010»
14 years 13 days ago
IQ^P: Incremental Query Construction, a Probabilistic Approach
—This paper presents IQP - a novel approach to bridge the gap between usability of keyword search and expressiveness of database queries. IQP enables a user to start with an arbi...
Elena Demidova, Xuan Zhou, Wolfgang Nejdl
SDM
2009
SIAM
129views Data Mining» more  SDM 2009»
14 years 4 months ago
Multi-topic Based Query-Oriented Summarization.
Query-oriented summarization aims at extracting an informative summary from a document collection for a given query. It is very useful to help users grasp the main information rel...
Dewei Chen, Jie Tang, Limin Yao
VLDB
1990
ACM
116views Database» more  VLDB 1990»
13 years 11 months ago
A Probabilistic Framework for Vague Queries and Imprecise Information in Databases
A probabilistic learning model for vague queries and missing or imprecise information in databases is described. Instead of retrieving only a set of answers, our approach yields a...
Norbert Fuhr
SIGMOD
2008
ACM
122views Database» more  SIGMOD 2008»
14 years 7 months ago
Building query optimizers for information extraction: the SQoUT project
Text documents often embed data that is structured in nature. This structured data is increasingly exposed using information extraction systems, which generate structured relation...
Alpa Jain, Panagiotis G. Ipeirotis, Luis Gravano
VLDB
2007
ACM
125views Database» more  VLDB 2007»
14 years 1 months ago
Data Integration with Uncertainty
This paper reports our first set of results on managing uncertainty in data integration. We posit that data-integration systems need to handle uncertainty at three levels, and do...
Xin Luna Dong, Alon Y. Halevy, Cong Yu