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Weaving the biomedical Semantic Web with the Protégé OWL plugin

Holger Knublauch, Mark A. Musen

Open publisher page 36 citations

Abstract

In this document we show how biomedical resources can be linked into a Semantic Web using Prot eg e. Prot eg e is a widely-used open-source ontology modeling environment with support for the Web Ontology Language (OWL). With the example domain of brain cortex anatomy we demonstrate how Prot eg e can be used to build an OWL ontology and to maintain ontology consistency with a description logic classifier. We also show how Prot eg e can be used to link existing Web resources such as biomedical articles and images into a Semantic Web.

About this research paper

What this paper is about

In this document we show how biomedical resources can be linked into a Semantic Web using Prot eg e. Prot eg e is a widely-used open-source ontology modeling environment with support for the Web Ontology Language (OWL). With the example domain of brain cortex anatomy we demonstrate how Prot eg e can be used to build an OWL ontology and to maintain ontology consistency with a description logic classifier. We also show how Prot eg e can be used to link existing Web resources such as biomedical articles and images into a Semantic Web.

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OpenAlex reports 36 citations for this work. Citation counts describe recorded attention and do not establish research quality.

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Available abstract

In this document we show how biomedical resources can be linked into a Semantic Web using Prot eg e. Prot eg e is a widely-used open-source ontology modeling environment with support for the Web Ontology Language (OWL). With the example domain of brain cortex anatomy we demonstrate how Prot eg e can be used to build an OWL ontology and to maintain ontology consistency with a description logic classifier. We also show how Prot eg e can be used to link existing Web resources such as biomedical articles and images into a Semantic Web.

Key concepts: Protégé, OWL-S, Computer science, Ontology Inference Layer, Open Biomedical Ontologies, Semantic Web, World Wide Web, Semantic Web Stack

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