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BMCBI
2008
116views more  BMCBI 2008»
13 years 7 months ago
Structuring an event ontology for disease outbreak detection
Background: This paper describes the design of an event ontology being developed for application in the machine understanding of infectious disease-related events reported in natu...
Ai Kawazoe, Hutchatai Chanlekha, Mika Shigematsu, ...
CORR
2006
Springer
143views Education» more  CORR 2006»
13 years 7 months ago
A Knowledge-Based Approach for Selecting Information Sources
Through the Internet and the World-Wide Web, a vast number of information sources has become available, which offer information on various subjects by different providers, often i...
Thomas Eiter, Michael Fink, Hans Tompits
ICML
2005
IEEE
14 years 8 months ago
Learning first-order probabilistic models with combining rules
Many real-world domains exhibit rich relational structure and stochasticity and motivate the development of models that combine predicate logic with probabilities. These models de...
Sriraam Natarajan, Prasad Tadepalli, Eric Altendor...
VLDB
1994
ACM
149views Database» more  VLDB 1994»
13 years 11 months ago
Qualified Answers That Reflect User Needs and Preferences
This paper introduces a formalism to describe the needs and preferences of database users. Because of the precise formulation of these concepts, we have found an automatic and ver...
Terry Gaasterland, Jorge Lobo
KDD
2000
ACM
115views Data Mining» more  KDD 2000»
13 years 11 months ago
A framework for specifying explicit bias for revision of approximate information extraction rules
Information extraction is one of the most important techniques used in Text Mining. One of the main problems in building information extraction (IE) systems is that the knowledge ...
Ronen Feldman, Yair Liberzon, Binyamin Rosenfeld, ...