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CBMS
2007
IEEE
15 years 4 months ago
Auto-Extraction, Representation and Integration of a Diabetes Ontology Using Bayesian Networks
This paper describes how high level biological knowledge obtained from ontologies such as the Gene Ontology (GO) can be integrated with low level information extracted from a Baye...
Kenneth McGarry, Sheila Garfield, Stefan Wermter
AUSAI
2003
Springer
15 years 3 months ago
Information Extraction via Path Merging
Abstract. In this paper, we describe a new approach to information extraction that neatly integrates top-down hypothesis driven information with bottom-up data driven information. ...
Robert Dale, Cécile Paris, Marc Tilbrook
SIGIR
1999
ACM
15 years 2 months ago
Deriving Concept Hierarchies from Text
This paper presents a means of automatically deriving a hierarchical organization of concepts from a set of documents without use of training data or standard clustering technique...
Mark Sanderson, W. Bruce Croft
WWW
2007
ACM
15 years 10 months ago
Hierarchical, perceptron-like learning for ontology-based information extraction
Recent work on ontology-based Information Extraction (IE) has tried to make use of knowledge from the target ontology in order to improve semantic annotation results. However, ver...
Yaoyong Li, Kalina Bontcheva
SIGKDD
2002
113views more  SIGKDD 2002»
14 years 9 months ago
Combining Data and Text Mining Techniques for Yeast Gene Regulation Prediction: A Case Study
In order to solve task 2 of the KDD Cup 2002, we exploited various available information sources. In particular, use of relational information describing the interactions among ge...
Mark-A. Krogel, Marcus Denecke, Marco Landwehr, To...