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https://doi.org/10.17559/TV-20140711141546

Ontology-based reasoning for entity-relationship data model semantic evaluation

Zoltan Kazi   ORCID icon orcid.org/0000-0001-6620-6384 ; University of Novi Sad, Technical faculty "Mihajlo Pupin" Zrenjanin, Djure Djakovica bb, 23000 Zrenjanin, Serbia
Biljana Radulović ; University of Novi Sad, Technical faculty "Mihajlo Pupin" Zrenjanin, Djure Djakovica bb, 23000 Zrenjanin, Serbia
Ivana Berković   ORCID icon orcid.org/0000-0003-2366-3942 ; University of Novi Sad, Technical faculty "Mihajlo Pupin" Zrenjanin, Djure Djakovica bb, 23000 Zrenjanin, Serbia
Ljubica Kazi   ORCID icon orcid.org/0000-0001-8089-3029 ; University of Novi Sad, Technical faculty "Mihajlo Pupin" Zrenjanin, Djure Djakovica bb, 23000 Zrenjanin, Serbia

Puni tekst: engleski, pdf (1 MB) str. 39-47 preuzimanja: 833* citiraj
APA 6th Edition
Kazi, Z., Radulović, B., Berković, I. i Kazi, Lj. (2017). Ontology-based reasoning for entity-relationship data model semantic evaluation. Tehnički vjesnik, 24 (Supplement 1), 39-47. https://doi.org/10.17559/TV-20140711141546
MLA 8th Edition
Kazi, Zoltan, et al. "Ontology-based reasoning for entity-relationship data model semantic evaluation." Tehnički vjesnik, vol. 24, br. Supplement 1, 2017, str. 39-47. https://doi.org/10.17559/TV-20140711141546. Citirano 01.03.2021.
Chicago 17th Edition
Kazi, Zoltan, Biljana Radulović, Ivana Berković i Ljubica Kazi. "Ontology-based reasoning for entity-relationship data model semantic evaluation." Tehnički vjesnik 24, br. Supplement 1 (2017): 39-47. https://doi.org/10.17559/TV-20140711141546
Harvard
Kazi, Z., et al. (2017). 'Ontology-based reasoning for entity-relationship data model semantic evaluation', Tehnički vjesnik, 24(Supplement 1), str. 39-47. https://doi.org/10.17559/TV-20140711141546
Vancouver
Kazi Z, Radulović B, Berković I, Kazi Lj. Ontology-based reasoning for entity-relationship data model semantic evaluation. Tehnički vjesnik [Internet]. 2017 [pristupljeno 01.03.2021.];24(Supplement 1):39-47. https://doi.org/10.17559/TV-20140711141546
IEEE
Z. Kazi, B. Radulović, I. Berković i Lj. Kazi, "Ontology-based reasoning for entity-relationship data model semantic evaluation", Tehnički vjesnik, vol.24, br. Supplement 1, str. 39-47, 2017. [Online]. https://doi.org/10.17559/TV-20140711141546
Puni tekst: hrvatski, pdf (1 MB) str. 39-47 preuzimanja: 199* citiraj
APA 6th Edition
Kazi, Z., Radulović, B., Berković, I. i Kazi, Lj. (2017). Ontološki zasnovano rasuđivanje za semantičku analizu modela entiteta-poveznika. Tehnički vjesnik, 24 (Supplement 1), 39-47. https://doi.org/10.17559/TV-20140711141546
MLA 8th Edition
Kazi, Zoltan, et al. "Ontološki zasnovano rasuđivanje za semantičku analizu modela entiteta-poveznika." Tehnički vjesnik, vol. 24, br. Supplement 1, 2017, str. 39-47. https://doi.org/10.17559/TV-20140711141546. Citirano 01.03.2021.
Chicago 17th Edition
Kazi, Zoltan, Biljana Radulović, Ivana Berković i Ljubica Kazi. "Ontološki zasnovano rasuđivanje za semantičku analizu modela entiteta-poveznika." Tehnički vjesnik 24, br. Supplement 1 (2017): 39-47. https://doi.org/10.17559/TV-20140711141546
Harvard
Kazi, Z., et al. (2017). 'Ontološki zasnovano rasuđivanje za semantičku analizu modela entiteta-poveznika', Tehnički vjesnik, 24(Supplement 1), str. 39-47. https://doi.org/10.17559/TV-20140711141546
Vancouver
Kazi Z, Radulović B, Berković I, Kazi Lj. Ontološki zasnovano rasuđivanje za semantičku analizu modela entiteta-poveznika. Tehnički vjesnik [Internet]. 2017 [pristupljeno 01.03.2021.];24(Supplement 1):39-47. https://doi.org/10.17559/TV-20140711141546
IEEE
Z. Kazi, B. Radulović, I. Berković i Lj. Kazi, "Ontološki zasnovano rasuđivanje za semantičku analizu modela entiteta-poveznika", Tehnički vjesnik, vol.24, br. Supplement 1, str. 39-47, 2017. [Online]. https://doi.org/10.17559/TV-20140711141546

Sažetak
Conceptual modeling is one of the most important activities in the modeling phase of information systems development most commonly presented by entity-relationship data model. This paper presents a system for entity-relationship data model semantic evaluation that is based on comparing ontology with data model elements. This approach is based on domain ontology and data model formalization at predicate calculus form that is suitable for reasoning. A set of reasoning rules for ontology to data model mapping was defined. The whole process is empirically verified and confirmed. For this purpose it has been developed a software tool for ontology and data model transformation to predicate logic form and then to a set of Prolog-like clauses. After integration of these sets of clauses and rules, a Prolog-system was used for reasoning in order to quantitatively express the quality of data model with appropriate metric.

Ključne riječi
data model; ontology; reasoning rules; semantic evaluation

Hrčak ID: 181239

URI
https://hrcak.srce.hr/181239

[hrvatski]

Posjeta: 1.311 *