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» Querying Probabilistic Information Extraction
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COMAD
2008
13 years 10 months ago
An Incremental Summary Generation System
Huge amount of information is present in the World Wide Web and a large amount is being added to it frequently. A query-specific summary of multiple documents is very helpful to t...
C. Ravindranath Chowdary, P. Sreenivasa Kumar
CIKM
2006
Springer
14 years 21 days ago
Summarizing local context to personalize global web search
The PC Desktop is a very rich repository of personal information, efficiently capturing user's interests. In this paper we propose a new approach towards an automatic persona...
Paul-Alexandru Chirita, Claudiu S. Firan, Wolfgang...
SIGMOD
2010
ACM
249views Database» more  SIGMOD 2010»
14 years 1 months ago
Active knowledge: dynamically enriching RDF knowledge bases by web services
The proliferation of knowledge-sharing communities and the advances in information extraction have enabled the construction of large knowledge bases using the RDF data model to re...
Nicoleta Preda, Gjergji Kasneci, Fabian M. Suchane...
AIIA
2007
Springer
14 years 3 months ago
A Top Down Interpreter for LPAD and CP-Logic
Logic Programs with Annotated Disjunctions and CP-logic are two different but related languages for expressing probabilistic information in logic programming. The paper presents a...
Fabrizio Riguzzi
VLDB
2007
ACM
129views Database» more  VLDB 2007»
14 years 3 months ago
Anytime Measures for Top-k Algorithms
Top-k queries on large multi-attribute data sets are fundamental operations in information retrieval and ranking applications. In this paper, we initiate research on the anytime b...
Benjamin Arai, Gautam Das, Dimitrios Gunopulos, Ni...