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» Probabilistic Ontologies and Relational Databases
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PVLDB
2008
111views more  PVLDB 2008»
13 years 6 months ago
Approximate lineage for probabilistic databases
In probabilistic databases, lineage is fundamental to both query processing and understanding the data. Current systems s.a. Trio or Mystiq use a complete approach in which the li...
Christopher Ré, Dan Suciu
KDD
2008
ACM
232views Data Mining» more  KDD 2008»
14 years 7 months ago
Anticipating annotations and emerging trends in biomedical literature
The BioJournalMonitor is a decision support system for the analysis of trends and topics in the biomedical literature. Its main goal is to identify potential diagnostic and therap...
Bernd Wachmann, Dmitriy Fradkin, Fabian Mörch...
JODS
2006
148views Data Mining» more  JODS 2006»
13 years 6 months ago
Discovering the Semantics of Relational Tables Through Mappings
Abstract. Many problems in Information and Data Management require a semantic account of a database schema. At its best, such an account consists of formulas expressing the relatio...
Yuan An, Alexander Borgida, John Mylopoulos
IDEAS
1999
IEEE
166views Database» more  IDEAS 1999»
13 years 11 months ago
Recovery Protocols in Multi-Agent Probabilistic Reasoning Systems
In this paper, we introduce a probabilistic relational data model as the basis for developing multi-agent probabilistic reasoning systems. Since our model subsumes the traditional...
Cory J. Butz, S. K. Michael Wong
CONTEXT
2007
Springer
14 years 27 days ago
OCCAM: Ontology-Based Computational Contextual Analysis and Modeling
The ability to model cognitive agents depends crucially on being able to encode and infer with contextual information at many levels (such as situational, psychological, social, or...
Srini Narayanan, Katie Sievers, Steven J. Maiorano