<p>The Lexical OWL Ontology Matcher is applied to the Human and Mammalian Phenotype Ontology to extract lexically matching concepts (based on labels and synonyms). All pairs of lexically matching concepts are inserted as equivalence class axioms into PhenomeBLAST’s ontology. A mapping is generated by reasoning over PhenomeBLAST’s adapted ontology and extracting all equivalence and super classes for each concept.</p
In this paper, we introduce a methodology for mapping linguistic ontologies lexicalized across diffe...
Schema and ontology matching play an important part in the field of data integration and semantic we...
This paper presents a model to measure semantic similarity between custom ontology concepts and the...
Researchers use animal studies to better understand human diseases. In recent years, large-scale phe...
International audienceIn the last decade, ontology matching and mapping research has shown a measura...
logie o on verifi OV a s, and stem xten ific th 1. Introduc An onto [20], and includes at least a co...
BACKGROUND: The disease and phenotype track was designed to evaluate the relative performance of ont...
Phenotype ontologies are typically constructed to serve the needs of a particular community, such as...
© 2017 The Author(s). Background: Integration and analysis of phenotype data from humans and model o...
BACKGROUND: Integration and analysis of phenotype data from humans and model organisms is a key chal...
Background The disease and phenotype track was designed to evaluate the relative per...
Accurate representation of phenotypes using ontologies is important in biology and biomedicine. This...
<p>Concepts on the left side belong to HPO and all the concepts on the right side belong to MP. Appl...
This paper presents a model to measure semantic similarity between custom ontology concepts and the...
Ontology mapping is important to knowledge sharing and semantic integration but hard to completely a...
In this paper, we introduce a methodology for mapping linguistic ontologies lexicalized across diffe...
Schema and ontology matching play an important part in the field of data integration and semantic we...
This paper presents a model to measure semantic similarity between custom ontology concepts and the...
Researchers use animal studies to better understand human diseases. In recent years, large-scale phe...
International audienceIn the last decade, ontology matching and mapping research has shown a measura...
logie o on verifi OV a s, and stem xten ific th 1. Introduc An onto [20], and includes at least a co...
BACKGROUND: The disease and phenotype track was designed to evaluate the relative performance of ont...
Phenotype ontologies are typically constructed to serve the needs of a particular community, such as...
© 2017 The Author(s). Background: Integration and analysis of phenotype data from humans and model o...
BACKGROUND: Integration and analysis of phenotype data from humans and model organisms is a key chal...
Background The disease and phenotype track was designed to evaluate the relative per...
Accurate representation of phenotypes using ontologies is important in biology and biomedicine. This...
<p>Concepts on the left side belong to HPO and all the concepts on the right side belong to MP. Appl...
This paper presents a model to measure semantic similarity between custom ontology concepts and the...
Ontology mapping is important to knowledge sharing and semantic integration but hard to completely a...
In this paper, we introduce a methodology for mapping linguistic ontologies lexicalized across diffe...
Schema and ontology matching play an important part in the field of data integration and semantic we...
This paper presents a model to measure semantic similarity between custom ontology concepts and the...