Literature DB >> 12603060

Evaluation of ontology merging tools in bioinformatics.

P Lambrix1, A Edberg.   

Abstract

Ontologies are being used nowadays in many areas, including bioinformatics. One of the issues in ontology research is the aligning and merging of ontologies. Tools have been developed for ontology merging, but they have not been evaluated for their use in bioinformatics. In this paper we evaluate two of the most well-known ontology merging tools with a bioinformatics perspective. As test ontologies we have used Gene Ontology and Signal-Ontology.

Mesh:

Year:  2003        PMID: 12603060     DOI: 10.1142/9789812776303_0055

Source DB:  PubMed          Journal:  Pac Symp Biocomput        ISSN: 2335-6928


  5 in total

1.  Terminological mapping for high throughput comparative biology of phenotypes.

Authors:  Y A Lussier; J Li
Journal:  Pac Symp Biocomput       Date:  2004

2.  Evaluation of lexical methods for detecting relationships between concepts from multiple ontologies.

Authors:  Helen L Johnson; K Bretonnel Cohen; William A Baumgartner; Zhiyong Lu; Michael Bada; Todd Kester; Hyunmin Kim; Lawrence Hunter
Journal:  Pac Symp Biocomput       Date:  2006

3.  A fault model for ontology mapping, alignment, and linking systems.

Authors:  Helen L Johnson; K Bretonnel Cohen; Lawrence Hunter
Journal:  Pac Symp Biocomput       Date:  2007

4.  GOMMA: a component-based infrastructure for managing and analyzing life science ontologies and their evolution.

Authors:  Toralf Kirsten; Anika Gross; Michael Hartung; Erhard Rahm
Journal:  J Biomed Semantics       Date:  2011-09-13

5.  Gradient learning algorithms for ontology computing.

Authors:  Wei Gao; Linli Zhu
Journal:  Comput Intell Neurosci       Date:  2014-10-29
  5 in total

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