Kickstarting OntoUML modeling from PURO instance-level examples

M Dudas; T Morkus; V Svátek; TP Sales; Giancarlo Guizzardi

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Kickstarting OntoUML modeling from PURO instance-level examples

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Kickstarting OntoUML modeling from PURO instance-level examples

M Dudas, T Morkus, V Svátek, TP Sales and Giancarlo Guizzardi

Proceedings of the EKAW 2020 Posters and Demonstrations Session co-located with 22nd International Conference on Knowledge Engineering and Knowledge Management (EKAW 2020), Vol.2751, pp.36-40

CEUR Workshop Proceedings, 2751

EKAW 2020 Posters and Demonstrations Session co-located with 22nd International Conference on Knowledge Engineering and Knowledge Management (EKAW 2020) (Bolzano, 17/09/2020 - 17/09/2020)

25/11/2020

Handle:

https://hdl.handle.net/10863/19580

Abstract

PURO

OntoUML

Ontology-Driven Conceptual Modeling

Modeling support for Novice Users

OntoUML is a modeling language based on an underlying foundational ontology (UFO). Over the years, it has gained increasing attention in the area of ontology-driven conceptual modeling, becoming one of the most used languages in that field. In this paper, we report on a preliminary prototype that kickstarts the creation of pre-conceptual models in OntoUML from instance-level examples in PURO, a graphi- cal modeling language originally developed for analogously kickstarting OWL ontology skeletons.

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Title: Kickstarting OntoUML modeling from PURO instance-level examples
Creators: M Dudas
T Morkus
V Svátek
TP Sales
Giancarlo Guizzardi
Publication Details: Proceedings of the EKAW 2020 Posters and Demonstrations Session co-located with 22nd International Conference on Knowledge Engineering and Knowledge Management (EKAW 2020), Vol.2751, pp.36-40
Editor(s): Garijo D, Lawrynowicz A
ISSN: 1613-0073
Conference: EKAW 2020 Posters and Demonstrations Session co-located with 22nd International Conference on Knowledge Engineering and Knowledge Management (EKAW 2020) (Bolzano, 17/09/2020 - 17/09/2020)
Series / Volume: CEUR Workshop Proceedings
2751
Publisher: CEUR-WS
Number of pages: 5
Identifiers: (UNIBZ)38848894
991006186693801241
Scopus ID: 2-s2.0-85097293831
Academic Unit: Faculty of Computer Science
Language: English
Resource Type: Conference proceeding
Author Names String: Dudas M, Morkus T, Svátek V, Sales TP, Guizzardi G
Additional Description: Editors/Supervisors: Garijo D, Lawrynowicz A

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