An enhanced graph-oriented approach for change management in distributed biomedical ontologies and linked data

This paper reports the summary and results of our research on providing a graph oriented formalism to represent, analyze and validate the evolution of bio-ontologies, with emphasis on the FungalWeb Ontology. In this approach Category theory along with rule-based hierarchical distributed (HD) graph t...

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Main Authors: Shaban-Nejad, A., Haarslev, V.
Format: Conference Proceeding
Language:English
Subjects:
bio-ontologies
category theory
Diseases
fungal genomics
graph transformation
High definition video
Knowledge based systems
Lattices
Ontologies
ontology evolution
Semantics
Taxonomy
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creator Shaban-Nejad, A.
Haarslev, V.
description This paper reports the summary and results of our research on providing a graph oriented formalism to represent, analyze and validate the evolution of bio-ontologies, with emphasis on the FungalWeb Ontology. In this approach Category theory along with rule-based hierarchical distributed (HD) graph transformation have been employed to propose a more specific semantics for analyzing ontological changes and transformations between different versions of an ontology, as well as tracking the effects of a change in different levels of abstractions.
doi_str_mv 10.1109/BIBMW.2011.6112439
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source IEEE Electronic Library (IEL) Conference Proceedings
subjects bio-ontologies
category theory
Diseases
fungal genomics
graph transformation
High definition video
Knowledge based systems
Lattices
Ontologies
ontology evolution
Semantics
Taxonomy
title An enhanced graph-oriented approach for change management in distributed biomedical ontologies and linked data
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