An Algorithmic Approach to Inferring Cross-Ontology Links while Mapping Anatomical Ontologies

Petrov, Peter, et al. "An Algorithmic Approach to Inferring Cross-Ontology Links while Mapping Anatomical Ontologies." Serdica Journal of Computing 6.3 (2012): 309-332. <http://eudml.org/doc/219644>.

@article{Petrov2012,
abstract = {ACM Computing Classification System (1998): J.3.Automated and semi-automated mapping and the subsequently merging of two (or more) anatomical ontologies can be achieved by (at least) two direct procedures. The first concerns syntactic matching between the terms of the two ontologies; in this paper, we call this direct matching (DM). It relies on identities between the terms of the two input ontologies in order to establish cross-ontology links between them. The second involves consulting one or more external knowledge sources and utilizing the information available in them, thus providing additional information as to how terms (concepts) from the two input ontologies are related/linked to each other. Each of the two ontologies is aligned to an external knowledge source and links representing synonymy, is-a parent-child, and part-of parent-child relations, are drawn between the ontology and the knowledge source. These links are then run through a set of simple logical rules in order to come up with cross-ontology links between the two input ontologies. This method is known as semantic matching. It proves useful},
author = {Petrov, Peter, Krachounov, Milko, van Ophuizen, Ernest, Vassilev, Dimitar},
journal = {Serdica Journal of Computing},
keywords = {Ontology; Anatomical Ontology; Ontology Mapping; Anatomical Ontology Mapping; Probability; Scoring; External Knowledge Source; Algorithm; Graph; Directed Acyclic Graph; ontology; anatomical ontology; ontology mapping; anatomical ontology mapping; probability; scoring; external knowledge source; algorithm; graph; directed acyclic graph},
language = {eng},
number = {3},
pages = {309-332},
publisher = {Institute of Mathematics and Informatics Bulgarian Academy of Sciences},
title = {An Algorithmic Approach to Inferring Cross-Ontology Links while Mapping Anatomical Ontologies},
url = {http://eudml.org/doc/219644},
volume = {6},
year = {2012},
}

TY - JOUR
AU - Petrov, Peter
AU - Krachounov, Milko
AU - van Ophuizen, Ernest
AU - Vassilev, Dimitar
TI - An Algorithmic Approach to Inferring Cross-Ontology Links while Mapping Anatomical Ontologies
JO - Serdica Journal of Computing
PY - 2012
PB - Institute of Mathematics and Informatics Bulgarian Academy of Sciences
VL - 6
IS - 3
SP - 309
EP - 332
AB - ACM Computing Classification System (1998): J.3.Automated and semi-automated mapping and the subsequently merging of two (or more) anatomical ontologies can be achieved by (at least) two direct procedures. The first concerns syntactic matching between the terms of the two ontologies; in this paper, we call this direct matching (DM). It relies on identities between the terms of the two input ontologies in order to establish cross-ontology links between them. The second involves consulting one or more external knowledge sources and utilizing the information available in them, thus providing additional information as to how terms (concepts) from the two input ontologies are related/linked to each other. Each of the two ontologies is aligned to an external knowledge source and links representing synonymy, is-a parent-child, and part-of parent-child relations, are drawn between the ontology and the knowledge source. These links are then run through a set of simple logical rules in order to come up with cross-ontology links between the two input ontologies. This method is known as semantic matching. It proves useful
LA - eng
KW - Ontology; Anatomical Ontology; Ontology Mapping; Anatomical Ontology Mapping; Probability; Scoring; External Knowledge Source; Algorithm; Graph; Directed Acyclic Graph; ontology; anatomical ontology; ontology mapping; anatomical ontology mapping; probability; scoring; external knowledge source; algorithm; graph; directed acyclic graph
UR - http://eudml.org/doc/219644
ER -