gfo-light

GFO-light contains simplifications compared to the full version of GFO and is designed as a framework for the efficient development and foundation of domain/application ontologies.

https://github.com/onto-med/gfo-light

Science Score: 67.0%

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Keywords

ontology ontology-languages top-level-ontology
Last synced: 6 months ago · JSON representation ·

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GFO-light contains simplifications compared to the full version of GFO and is designed as a framework for the efficient development and foundation of domain/application ontologies.

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ontology ontology-languages top-level-ontology
Created about 1 year ago · Last pushed 6 months ago
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README.md

General Formal Ontology (light version)

Test consistency DOI

Introduction

GFO-light contains some simplifications compared to the full version of General Formal Ontology (GFO, Loebe, F. et al. (2022). GFO: The General Formal Ontology.) and is designed as a framework for the efficient development and foundation of domain/application ontologies. This guide describes the structure and a possible use of this lightweight top-level ontology in domain-specific projects, also for users who are not familiar with the basics of formal ontologies. GFO-light is primarily concerned with categories of concrete individuals (Continuant, Attributive, Process and Situation), i.e., entities that have an immediate relation to time (TimeEntity) or to space-time.

⚠ GFO-light extends GFO-core (i.e., adopts all GFO-core axioms), which contains the core GFO entities and serves as a common basis for both GFO variants (light and full). For some use cases, it may be sufficient to use GFO-core alone as a kind of minimal top-level ontology.

GFO-light

Fig. 1. GFO-light overview (The figure shows all categories and selected relations. The GFO-core categories are displayed as filled boxes.)

How to Use

You just need to import this ontology into your domain-specific ontology via the IRI https://w3id.org/gfo-light. For each release of this ontology, a version IRI is available with the format https://w3id.org/gfo-light/release/<VERSION>. In addition, the version IRI https://w3id.org/gfo-light/release/latest always represents the latest version. If you want to import only GFO-core, please use the IRI https://w3id.org/gfo-core in the same way.

When developing a domain-specific ontology using GFO-core or GFO-light, please create your classes as subclasses of Continuant, Attributive, Process, Situation and TimeEntity (or their subclasses, the more specific the better). You can also create the desired object or data properties (if possible as subproperties of GFO-core or GFO-light properties).

For more information, see our user guide, the GFO-light documentation or the GFO-core documentation.

Individual IRIs of GFO-core and GFO-light classes and properties (e.g., https://w3id.org/gfo-light/Quality) are pointing to the RDF browser RickView.

Examples

Here is a selection of ontologies we maintain that are founded in GFO-light and can serve as a starting point for working with GFO-light.

| Ontology | Repository | IRI | | ---------------------------------------- | -------------------------------------- | ------------------------------- | | Anthropological Notation Ontology (ANNO) | https://github.com/annosaxfdm/ontology | https://annosaxfdm.de/ontology/ | | Risk Identification Ontology (RIO) | https://github.com/Onto-Med/RIO | https://w3id.org/rio/ | | Core Ontology of Phenotyping (COP) | https://github.com/Onto-Med/COP | https://w3id.org/cop/ |

Additional examples are available.

How to Contribute

Please see our contributing guide.

See Also

Owner

  • Name: Onto-Med Research Group
  • Login: Onto-Med
  • Kind: organization
  • Location: Leipzig

The Onto-Med Research Group conducts basic research in formal ontology, designs formal tools and develops top level, domain and core ontologies.

Citation (CITATION.cff)

cff-version: 1.2.0
message: If you use the content of this repository, please cite it using these metadata.
title: General Formal Ontology (light version)
abstract: |
  GFO-light contains simplifications compared to the full version of GFO and is designed as
  a framework for the efficient development and foundation of domain/application ontologies.
authors:
  - affiliation: Leipzig University
    family-names: Uciteli
    given-names: Alexandr
    orcid: https://orcid.org/0000-0001-9558-5352
  - affiliation: Leipzig University
    family-names: Beger
    given-names: Christoph
    orcid: https://orcid.org/0000-0002-1166-0368
  - family-names: Loebe
    given-names: Frank
    orcid: https://orcid.org/0000-0003-4537-5212
  - affiliation: Leipzig University
    family-names: Matthies
    given-names: Franz
    orcid: https://orcid.org/0000-0001-7196-506X
  - family-names: Herre
    given-names: Heinrich
  - affiliation: Leipzig University
    family-names: Höffner
    given-names: Konrad
    orcid: https://orcid.org/0000-0001-7358-3217
  - family-names: Burek
    given-names: Patryk
    orcid: https://orcid.org/0000-0001-8165-0272
  - affiliation: Leipzig University
    family-names: Schäfermeier
    given-names: Ralph
    orcid: https://orcid.org/0000-0002-4349-6726
date-released: 2025-02-07
keywords:
  - ontology
  - top-level-ontology
  - ontology-languages
license: CC-BY-4.0
doi: 10.5281/zenodo.14833002

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Last Year
  • Create event: 10
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  • Issues event: 5
  • Watch event: 4
  • Delete event: 7
  • Issue comment event: 9
  • Public event: 1
  • Push event: 39
  • Pull request review event: 4
  • Pull request review comment event: 3
  • Pull request event: 12
  • Fork event: 5

Issues and Pull Requests

Last synced: 6 months ago

All Time
  • Total issues: 3
  • Total pull requests: 8
  • Average time to close issues: about 1 month
  • Average time to close pull requests: 4 days
  • Total issue authors: 2
  • Total pull request authors: 5
  • Average comments per issue: 0.67
  • Average comments per pull request: 0.0
  • Merged pull requests: 7
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Past Year
  • Issues: 3
  • Pull requests: 8
  • Average time to close issues: about 1 month
  • Average time to close pull requests: 4 days
  • Issue authors: 2
  • Pull request authors: 5
  • Average comments per issue: 0.67
  • Average comments per pull request: 0.0
  • Merged pull requests: 7
  • Bot issues: 0
  • Bot pull requests: 2
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