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AIRS
2010
Springer
14 years 11 months ago
Semantic Relation Extraction Based on Semi-supervised Learning
Many tasks of information extraction or natural language processing have a property that the data naturally consist of several views--disjoint subsets of features. Specifically, a ...
Haibo Li, Yutaka Matsuo, Mitsuru Ishizuka
SIGMOD
2009
ACM
168views Database» more  SIGMOD 2009»
16 years 1 months ago
Database research in computer games
This tutorial presents an overview of the data management issues faced by computer games today. While many games do not use databases directly, they still have to process large am...
Alan J. Demers, Johannes Gehrke, Christoph Koch, B...
SEMWEB
2007
Springer
15 years 7 months ago
Ontology-Based Information Extraction for Business Intelligence
Abstract. Business Intelligence (BI) requires the acquisition and aggregation of key pieces of knowledge from multiple sources in order to provide valuable information to customers...
Horacio Saggion, Adam Funk, Diana Maynard, Kalina ...
SEMWEB
2005
Springer
15 years 7 months ago
Ontology Learning and Reasoning - Dealing with Uncertainty and Inconsistency
Ontology Learning from text aims at generating domain ontologies from textual resources by applying natural language processing and machine learning techniques. It is inherent in t...
Peter Haase, Johanna Völker
WWW
2005
ACM
16 years 2 months ago
Learning domain ontologies for Web service descriptions: an experiment in bioinformatics
The reasoning tasks that can be performed with semantic web service descriptions depend on the quality of the domain ontologies used to create these descriptions. However, buildin...
Marta Sabou, Chris Wroe, Carole A. Goble, Gilad Mi...