Case-Study-Based Review of Approaches for Transforming UML Class Diagrams to OWL and Vice Versa

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21240%2F20%3A00342143" target="_blank" >RIV/68407700:21240/20:00342143 - isvavai.cz</a>

Výsledek na webu

<a href="https://doi.org/10.1109/CBI49978.2020.00036" target="_blank" >https://doi.org/10.1109/CBI49978.2020.00036</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1109/CBI49978.2020.00036" target="_blank" >10.1109/CBI49978.2020.00036</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Case-Study-Based Review of Approaches for Transforming UML Class Diagrams to OWL and Vice Versa

Popis výsledku v původním jazyce

Building ontologies in The Web Ontology Language (OWL) as a knowledge representation about a particular domain gained a lot of interest over the recent years. Thanks to its large community and many options concerning tooling and methods for representation and transformations, OWL is being used not only in Linked Open Data and Artificial Intelligence but also in conceptual modelling. OWL allows capturing concepts and their properties, including relationships which can also be done using traditional conceptual models, for example, in Unified Modelling Language (UML). Both UML and OWL have their own specifics when compared to each other, and one may be more suitable than the other in concrete cases. There are several methods for transformation between knowledge representation in OWL and UML. In this paper, we review key methods for transforming UML to OWL and vice versa. To compare the methods, we use a non-trivial conceptual model that contains all commonly used constructs, e.g., generalization sets, composition, or relationships with constraints. The methods are evaluated in terms of information loss during transformation, the need for human intervention, and versatility.

Název v anglickém jazyce

Case-Study-Based Review of Approaches for Transforming UML Class Diagrams to OWL and Vice Versa

Popis výsledku anglicky

Building ontologies in The Web Ontology Language (OWL) as a knowledge representation about a particular domain gained a lot of interest over the recent years. Thanks to its large community and many options concerning tooling and methods for representation and transformations, OWL is being used not only in Linked Open Data and Artificial Intelligence but also in conceptual modelling. OWL allows capturing concepts and their properties, including relationships which can also be done using traditional conceptual models, for example, in Unified Modelling Language (UML). Both UML and OWL have their own specifics when compared to each other, and one may be more suitable than the other in concrete cases. There are several methods for transformation between knowledge representation in OWL and UML. In this paper, we review key methods for transforming UML to OWL and vice versa. To compare the methods, we use a non-trivial conceptual model that contains all commonly used constructs, e.g., generalization sets, composition, or relationships with constraints. The methods are evaluated in terms of information loss during transformation, the need for human intervention, and versatility.

Druh

D - Stať ve sborníku

CEP obor

—

OECD FORD obor

10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Projekt

—

Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2020

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název statě ve sborníku

2020 IEEE 22nd Conference on Business Informatics (CBI)

ISBN

978-1-7281-9926-9

ISSN

—

e-ISSN

—

Počet stran výsledku

10

Strana od-do

270-279

Název nakladatele

IEEE Computer Society

Místo vydání

Los Alamitos

Místo konání akce

Anverpy

Datum konání akce

22. 6. 2020

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

000621582600029