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EKAW
2008
Springer
13 years 7 months ago
Unsupervised Discovery of Compound Entities for Relationship Extraction
In this paper we investigate unsupervised population of a biomedical ontology via information extraction from biomedical literature. Relationships in text seldom connect simple ent...
Cartic Ramakrishnan, Pablo N. Mendes, Shaojun Wang...
KR
2004
Springer
13 years 11 months ago
Knowledge Discovery by Reversing Inductive Knowledge Representation
In a very basic sense, the aim of knowledge discovery is to reveal structures of knowledge which can be seen as being represented by structural relationships. In this paper, we ma...
Gabriele Kern-Isberner, Jens Fisseler
KES
2005
Springer
13 years 11 months ago
Support for Internet-Based Commonsense Processing - Causal Knowledge Discovery Using Japanese "If" Forms
Abstract. This paper introduces our method for causal knowledge retrieval from the Internet resources, its results and evaluation of using it in utterance creation process. Our sys...
Yali Ge, Rafal Rzepka, Kenji Araki
BMCBI
2008
141views more  BMCBI 2008»
13 years 5 months ago
Ontology-guided data preparation for discovering genotype-phenotype relationships
Complexity of post-genomic data and multiplicity of mining strategies are two limits to Knowledge Discovery in Databases (KDD) in life sciences. Because they provide a semantic fr...
Adrien Coulet, Malika Smaïl-Tabbone, Pascale ...
IJCAI
2007
13 years 7 months ago
Integration of Hybrid Bio-Ontologies using Bayesian Networks for Knowledge Discovery
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, Nick Morris, Ste...