Mapping and Merging of Anatomical Ontologies

Petrov, Peter

Serdica Journal of Computing (2013)

  • Volume: 7, Issue: 3, page 281-316
  • ISSN: 1312-6555

Abstract

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This article presents the principal results of the Ph.D. thesis Intelligent systems in bioinformatics: mapping and merging anatomical ontologies by Peter Petrov, successfully defended at the St. Kliment Ohridski University of Sofia, Faculty of Mathematics and Informatics, Department of Information Technologies, on 26 April 2013.The problem of mapping and merging ontologies in general is an important one in the area of ontology engineering. The same problem considered within the narrower area of anatomical ontologies (AOs) is important in bioinformatics because solving it could enable the transfer of data and the application of knowledge obtained from various model organisms to other model and non-model organisms, and even to research areas such as those of human health and medicine. This paper presents a detailed summary of the author’s PhD research done in the period 2007–2013. The paper’s main topic is the problem of mapping and merging of multiple species-specific AOs and the related approaches, methods, and procedures that can be used for solving it. ACM Computing Classification System (1998): J.3, E.1, G.2.2, G.2.3, I.2.1, I.2.4.

How to cite

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Petrov, Peter. "Mapping and Merging of Anatomical Ontologies." Serdica Journal of Computing 7.3 (2013): 281-316. <http://eudml.org/doc/268667>.

@article{Petrov2013,
abstract = {This article presents the principal results of the Ph.D. thesis Intelligent systems in bioinformatics: mapping and merging anatomical ontologies by Peter Petrov, successfully defended at the St. Kliment Ohridski University of Sofia, Faculty of Mathematics and Informatics, Department of Information Technologies, on 26 April 2013.The problem of mapping and merging ontologies in general is an important one in the area of ontology engineering. The same problem considered within the narrower area of anatomical ontologies (AOs) is important in bioinformatics because solving it could enable the transfer of data and the application of knowledge obtained from various model organisms to other model and non-model organisms, and even to research areas such as those of human health and medicine. This paper presents a detailed summary of the author’s PhD research done in the period 2007–2013. The paper’s main topic is the problem of mapping and merging of multiple species-specific AOs and the related approaches, methods, and procedures that can be used for solving it. ACM Computing Classification System (1998): J.3, E.1, G.2.2, G.2.3, I.2.1, I.2.4.},
author = {Petrov, Peter},
journal = {Serdica Journal of Computing},
keywords = {Ontology; Anatomical Ontology; Ontology Mapping; Anatomical Ontology Mapping; Ontology Merging; Anatomical Ontology Merging; External Knowledge Source; Algorithm; Graph; Directed Acyclic Graph},
language = {eng},
number = {3},
pages = {281-316},
publisher = {Institute of Mathematics and Informatics Bulgarian Academy of Sciences},
title = {Mapping and Merging of Anatomical Ontologies},
url = {http://eudml.org/doc/268667},
volume = {7},
year = {2013},
}

TY - JOUR
AU - Petrov, Peter
TI - Mapping and Merging of Anatomical Ontologies
JO - Serdica Journal of Computing
PY - 2013
PB - Institute of Mathematics and Informatics Bulgarian Academy of Sciences
VL - 7
IS - 3
SP - 281
EP - 316
AB - This article presents the principal results of the Ph.D. thesis Intelligent systems in bioinformatics: mapping and merging anatomical ontologies by Peter Petrov, successfully defended at the St. Kliment Ohridski University of Sofia, Faculty of Mathematics and Informatics, Department of Information Technologies, on 26 April 2013.The problem of mapping and merging ontologies in general is an important one in the area of ontology engineering. The same problem considered within the narrower area of anatomical ontologies (AOs) is important in bioinformatics because solving it could enable the transfer of data and the application of knowledge obtained from various model organisms to other model and non-model organisms, and even to research areas such as those of human health and medicine. This paper presents a detailed summary of the author’s PhD research done in the period 2007–2013. The paper’s main topic is the problem of mapping and merging of multiple species-specific AOs and the related approaches, methods, and procedures that can be used for solving it. ACM Computing Classification System (1998): J.3, E.1, G.2.2, G.2.3, I.2.1, I.2.4.
LA - eng
KW - Ontology; Anatomical Ontology; Ontology Mapping; Anatomical Ontology Mapping; Ontology Merging; Anatomical Ontology Merging; External Knowledge Source; Algorithm; Graph; Directed Acyclic Graph
UR - http://eudml.org/doc/268667
ER -

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