Research output per year
Research output per year
Renata Guizzardi, Bruno G. Carneiro, Daniele Porello, Giancarlo Guizzardi
Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review
Decision Making is an important part of the everyday lives of individuals and organizations. Many works within Computer Science have focused on supporting this process, especially by developing decision-supporting systems. We argue that for providing better support to Decision Making, it is paramount to understand the nature of a decision and of the process that leads to it. To accomplish that, in this paper, we go forward with our preliminary work in proposing a core ontology on Decision Making. Aiming at creating a well-founded ontology, we rely on the Unified Foundational Ontology (UFO), and we reuse some notions of existing ontologies on Value Proposition and Economic Preference. Besides describing the ontology, this work discusses some possible applications and compare our ontology with related works.
Original language | English |
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Title of host publication | ONTOBRAS 2020: Ontology Research in Brazil |
Subtitle of host publication | Proceedings of the XIII Seminar on Ontology Research in Brazil and IV Doctoral and Masters Consortium on Ontologies (ONTOBRAS 2020), Vitória, Brazil, November 23-26, 2020. |
Publisher | CEUR |
Pages | 9-21 |
Number of pages | 13 |
Publication status | Published - Nov 2020 |
Event | 13th Seminar on Ontology Research in Brazil and 4th Doctoral and Masters Consortium on Ontologies, ONTOBRAS 2020 - Virtual Event, Vitoria, Brazil Duration: 23 Nov 2020 → 26 Nov 2020 Conference number: 13 |
Name | CEUR workshop proceedings |
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Publisher | RWTH |
Volume | 2728 |
ISSN (Print) | 1613-0073 |
Conference | 13th Seminar on Ontology Research in Brazil and 4th Doctoral and Masters Consortium on Ontologies, ONTOBRAS 2020 |
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Abbreviated title | ONTOBRAS 2020 |
Country/Territory | Brazil |
City | Vitoria |
Period | 23/11/20 → 26/11/20 |
Research output: Working paper › Preprint › Academic