Empirical Evaluation of Semantic Alignment Quality Metrics for Vehicle Domain Component Frameworks Interface Ontologies

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F49777513%3A23520%2F21%3A43963651" target="_blank" >RIV/49777513:23520/21:43963651 - isvavai.cz</a>

Výsledek na webu

<a href="https://journals.flvc.org/FLAIRS/article/view/128512" target="_blank" >https://journals.flvc.org/FLAIRS/article/view/128512</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.32473/flairs.v34i1.128512" target="_blank" >10.32473/flairs.v34i1.128512</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Empirical Evaluation of Semantic Alignment Quality Metrics for Vehicle Domain Component Frameworks Interface Ontologies

Popis výsledku v původním jazyce

Semantic alignment of application software components’ ontologies represents a great interest in vehicle application domains that manipulate heterogeneous overlapping knowledge application frameworks. The most daunting impediment to their cross-enterprise collaboration is semantic interoperability. Aligning the interface ontologies of these components by identifying the depth of semantic alignment relationships between the concepts of the interface ontologies is the major focus of this paper. In contrast to several existing ontology structural metrics, this work defines, evaluates and validates ontology metrics to measure the depth of semantic alignment between the vehicle domain software component frameworks’ interface ontological models.

Název v anglickém jazyce

Empirical Evaluation of Semantic Alignment Quality Metrics for Vehicle Domain Component Frameworks Interface Ontologies

Popis výsledku anglicky

Semantic alignment of application software components’ ontologies represents a great interest in vehicle application domains that manipulate heterogeneous overlapping knowledge application frameworks. The most daunting impediment to their cross-enterprise collaboration is semantic interoperability. Aligning the interface ontologies of these components by identifying the depth of semantic alignment relationships between the concepts of the interface ontologies is the major focus of this paper. In contrast to several existing ontology structural metrics, this work defines, evaluates and validates ontology metrics to measure the depth of semantic alignment between the vehicle domain software component frameworks’ interface ontological models.

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

2021

Kód důvěrnosti údajů

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

Název statě ve sborníku

Proceedings fo Thirty-fourth International Florida Artificial Intelligence Research Society Conference (FLAIRS-34)

ISBN

—

ISSN

2334-0762

e-ISSN

2334-0762

Počet stran výsledku

6

Strana od-do

"neuveden"

Název nakladatele

Florida Artificial International Research Society

Místo vydání

Florida, USA

Místo konání akce

Florida, USA

Datum konání akce

16. 5. 2021

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

—