Empirical Evaluation of Semantic Alignment Quality Metrics for Vehicle Domain Component Frameworks Interface Ontologies
The result's identifiers
Result code in 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>
Result on the web
<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>
Alternative languages
Result language
angličtina
Original language name
Empirical Evaluation of Semantic Alignment Quality Metrics for Vehicle Domain Component Frameworks Interface Ontologies
Original language description
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.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
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Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2021
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Proceedings fo Thirty-fourth International Florida Artificial Intelligence Research Society Conference (FLAIRS-34)
ISBN
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ISSN
2334-0762
e-ISSN
2334-0762
Number of pages
6
Pages from-to
"neuveden"
Publisher name
Florida Artificial International Research Society
Place of publication
Florida, USA
Event location
Florida, USA
Event date
May 16, 2021
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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