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KDD
1995
ACM
148views Data Mining» more  KDD 1995»
14 years 1 months ago
Learning Arbiter and Combiner Trees from Partitioned Data for Scaling Machine Learning
Knowledge discovery in databases has become an increasingly important research topic with the advent of wide area network computing. One of the crucial problems we study in this p...
Philip K. Chan, Salvatore J. Stolfo
ESWS
2010
Springer
13 years 11 months ago
Dealing with Inconsistency When Combining Ontologies and Rules Using DL-Programs
Abstract. Description Logic Programs (DL-programs) have been introduced to combine ontological and rule-based reasoning in the context of the Semantic Web. A DL-program loosely com...
Jörg Pührer, Stijn Heymans, Thomas Eiter
CIKM
2008
Springer
13 years 11 months ago
Semi-supervised text categorization by active search
In automated text categorization, given a small number of labeled documents, it is very challenging, if not impossible, to build a reliable classifier that is able to achieve high...
Zenglin Xu, Rong Jin, Kaizhu Huang, Michael R. Lyu...
LREC
2010
115views Education» more  LREC 2010»
13 years 11 months ago
A General Methodology for Equipping Ontologies with Time
In the first part of this paper, we present a framework for enriching arbitrary upper or domain-specific ontologies with a concept of time. To do so, we need the notion of a time ...
Hans-Ulrich Krieger
LREC
2010
169views Education» more  LREC 2010»
13 years 11 months ago
Identification of the Question Focus: Combining Syntactic Analysis and Ontology-based Lookup through the User Interaction
Most question-answering systems contain a classifier module which determines a question category, based on which each question is assigned an answer type. However, setting up synt...
Danica Damljanovic, Milan Agatonovic, Hamish Cunni...