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» On Quantifying Semantic Information
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SWWS
2008
13 years 9 months ago
Metrics for Evaluating the Semantic Implications of Changes in Evolving Ontologies
We propose a set of metrics for measuring the semantic implications of changes during ontology evolution. Our metrics focus on the changes of classes and associated axioms or annot...
Chuming Chen, Manton M. Matthews
AUIC
2000
IEEE
14 years 4 days ago
The Metaphor of the Face as an Interface for Communicating Non-Quantitative Information
In this paper we propose that a metaphor can be used to represent domains that are not easily quantifiable. The metaphor then can be used as an interface to communicate informatio...
Simeon J. Simoff, Fay Sudweeks
PAKDD
1999
ACM
87views Data Mining» more  PAKDD 1999»
13 years 12 months ago
On Information-Theoretic Measures of Attribute Importance
Abstract. An attribute is deemed important in data mining if it partitions the database such that previously unknown regularities are observable. Many information-theoretic measure...
Yiyu Yao, S. K. Michael Wong, Cory J. Butz
FLAIRS
2003
13 years 9 months ago
Open Domain Information Extraction via Automatic Semantic Labeling
This paper presents a semantic labeling technique based on information encoded in FrameNet. Sentences labeled for frames relevant to any new Information Extraction domain enable t...
Alessandro Moschitti, Paul Morarescu, Sanda M. Har...
COLING
2000
13 years 9 months ago
Learning Semantic-Level Information Extraction Rules by Type-Oriented ILP
This paper describes an approach to using semantic rcprcsentations for learning information extraction (IE) rules by a type-oriented inductire logic programming (ILl)) system. NLP...
Yutaka Sasaki, Yoshihiro Matsuo