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<ns1:creator xml:lang="en"><https://orcid.org/0009-0006-6051-2165>,
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<rdfs:comment xml:lang="en">Core-O is a well-founded competence reference ontology that accounts for competence-related elements such as knowledge, attitudes, and skills; also countenance their performance---related to tasks, their context, and outcomes---as well as their evolution over time (proficiency). This ontology is based on the Unified Foundational Ontology (Guizzardi, 2005), more specifically using gUFO (gentle UFO), a UFO-based lightweight ontology.
The ontology was based on these works: (CALHAU et al., 2021) and (CALHAU et al., 2023)
It was created to support: (i) semantically annotate competence-related artifacts such as curriculum, job vacancy, learning objects, resources, professional profiles, task logs, logbooks, and learning diaries; (ii) semantically inter-operate and integrate professional data concerning internal system (from organizations, VET institutions) and external ones (e.g., professional networks as LinkedIn); (iii) support the semantic search to find the best professional to an occupation, or to find the best occupation to a professional; (iv) support the skill/competence matching in gap analysis; (v) support competence/skill identification/assessment based on ontology-driven data and text mining in competence-related artifacts, such as learning diary, logbook, or task logs from control version tools as Github.
For background information on the reference ontology, see:
1. CALHAU, Rodrigo F.; AZEVEDO, Carlos LB; ALMEIDA, João Paulo A. Towards Ontology-based Competence Modeling in Enterprise Architecture. In: 2021 IEEE 25th International Enterprise Distributed Object Computing Conference (EDOC). IEEE, 2021. p. 71-81.
2. CALHAU, Rodrigo F.; ALMEIDA, João Paulo A. Zooming in on Competences in Ontology-Based Enterprise Architecture Modeling. In: Enterprise Design, Operations, and Computing. EDOC 2022 Workshops: IDAMS, SoEA4EE, TEAR, EDOC Forum, Demonstrations Track and Doctoral Consortium, Bozen-Bolzano, Italy, October 4–7, 2022, Revised Selected Papers. Cham: Springer International Publishing, 2023. p. 198-213.
3. GUIZZARDI, Giancarlo. Ontological foundations for structural conceptual models. 2005.
Cite this work as:
R. F. Calhau, J. P. A. Almeida, T. P. Sales, G. Guizzardi, \"Core-O: A Competence Reference Ontology\", 2023, http://purl.org/coreo
This work is distributed under Creative Commons Attribution License CC BY 4.0 <https://creativecommons.org/licenses/by/4.0/legalcode>.
For the source repository, see: <https://github.com/core-o/ontology></rdfs:comment>
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<ns0:dc/terms/created rdf:datatype="http://www.w3.org/2001/XMLSchema#date">2023-05-08</ns0:dc/terms/created>
<ns0:dc/terms/modified rdf:datatype="http://www.w3.org/2001/XMLSchema#date">2023-05-12</ns0:dc/terms/modified>
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<ns2:title xml:lang="en">Core-o: Competence Reference Ontology</ns2:title>
<ns0:dc/terms/description xml:lang="en">An ontology to describe competences and human capabilities</ns0:dc/terms/description>
<ns0:dc/terms/issued rdf:datatype="http://www.w3.org/2001/XMLSchema#date">2023-05-08</ns0:dc/terms/issued>
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<ns0:dc/terms/bibliographicCitation xml:lang="en">R. F. Calhau, J. P. A. Almeida, T. P. Sales, G. Guizzardi, \"Core-O: A Competence Reference Ontology\", 2023, http://purl.org/coreo</ns0:dc/terms/bibliographicCitation>
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<ns1:creator xml:lang="en"><https://orcid.org/0009-0006-6051-2165>,
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<rdfs:comment xml:lang="en">Core-O is a well-founded competence reference ontology that accounts for competence-related elements such as knowledge, attitudes, and skills; also countenance their performance---related to tasks, their context, and outcomes---as well as their evolution over time (proficiency). This ontology is based on the Unified Foundational Ontology (Guizzardi, 2005), more specifically using gUFO (gentle UFO), a UFO-based lightweight ontology.
The ontology was based on these works: (CALHAU et al., 2021) and (CALHAU et al., 2023)
It was created to support: (i) semantically annotate competence-related artifacts such as curriculum, job vacancy, learning objects, resources, professional profiles, task logs, logbooks, and learning diaries; (ii) semantically inter-operate and integrate professional data concerning internal system (from organizations, VET institutions) and external ones (e.g., professional networks as LinkedIn); (iii) support the semantic search to find the best professional to an occupation, or to find the best occupation to a professional; (iv) support the skill/competence matching in gap analysis; (v) support competence/skill identification/assessment based on ontology-driven data and text mining in competence-related artifacts, such as learning diary, logbook, or task logs from control version tools as Github.
For background information on the reference ontology, see:
1. CALHAU, Rodrigo F.; AZEVEDO, Carlos LB; ALMEIDA, João Paulo A. Towards Ontology-based Competence Modeling in Enterprise Architecture. In: 2021 IEEE 25th International Enterprise Distributed Object Computing Conference (EDOC). IEEE, 2021. p. 71-81.
2. CALHAU, Rodrigo F.; ALMEIDA, João Paulo A. Zooming in on Competences in Ontology-Based Enterprise Architecture Modeling. In: Enterprise Design, Operations, and Computing. EDOC 2022 Workshops: IDAMS, SoEA4EE, TEAR, EDOC Forum, Demonstrations Track and Doctoral Consortium, Bozen-Bolzano, Italy, October 4–7, 2022, Revised Selected Papers. Cham: Springer International Publishing, 2023. p. 198-213.
3. GUIZZARDI, Giancarlo. Ontological foundations for structural conceptual models. 2005.
Cite this work as:
R. F. Calhau, J. P. A. Almeida, T. P. Sales, G. Guizzardi, \"Core-O: A Competence Reference Ontology\", 2023, http://purl.org/coreo
This work is distributed under Creative Commons Attribution License CC BY 4.0 <https://creativecommons.org/licenses/by/4.0/legalcode>.
For the source repository, see: <https://github.com/core-o/ontology></rdfs:comment>
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