Semantic Mapping of Component Framework Interface Ontologies for Interoperability of Vehicle Applications

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F49777513%3A23520%2F20%3A43960007" target="_blank" >RIV/49777513:23520/20:43960007 - isvavai.cz</a>

Result on the web

<a href="http://dx.doi.org/10.1016/j.procs.2020.03.151" target="_blank" >http://dx.doi.org/10.1016/j.procs.2020.03.151</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1016/j.procs.2020.03.151" target="_blank" >10.1016/j.procs.2020.03.151</a>

Result language

angličtina

Original language name

Semantic Mapping of Component Framework Interface Ontologies for Interoperability of Vehicle Applications

Original language description

Over the past few years, ontology merging, and ontology semantic alignment has gained significant interest as research topics in automotive application domain for finding solutions to semantic data heterogeneity. To accomplish the complex and novel vehicle service requirements such as autonomous driving, V2X (Vehicle-to-Vehicle communication), etc. the automotive applications involve collaborations of several platform-specific data from heterogeneous enterprises component frameworks and consequently there has been increase in data interoperability issues. At the application component level, data interoperability relies on the semantic alignment or mapping between the various component framework interfaces data models represented as XML schemas (XSD). With the XML schemas being the preferred standard for the interface description exchange between most of the automotive application domain components, however, the data interoperability between the semantically equivalent but structurally different data constructs of multiple heterogeneous XSDs stands as a challenge in the absence of an ontology-based approach. To confront this crucial requirement for data interoperability and to increase in effect the reuse of existing components through their interfaces, we propose an approach to semantically map the various component framework interface data models when expressed as ontology schemas, based on the exploration of semantic synergies. The transformation between XSD and RDF (Resource Description Framework) schema representations and the use of queries over the ontology schemas for semantic mapping are demonstrated including a real-world case study.

Czech name

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Czech description

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Type

D - Article in proceedings

CEP classification

—

OECD FORD branch

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

Project

—

Continuities

S - Specificky vyzkum na vysokych skolach

Publication year

2020

Confidentiality

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

Article name in the collection

Procedia Computer Science - The 11th International Conference on Ambient Systems, Networks and Technologies (ANT) / The 3rd International Conference on Emerging Data and Industry 4.0 (EDI40) / Affiliated Workshops

ISBN

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ISSN

1877-0509

e-ISSN

—

Number of pages

6

Pages from-to

813-818

Publisher name

Elsevier B.V.

Place of publication

Neuveden

Event location

Varšava, Polsko

Event date

Apr 6, 2020

Type of event by nationality

WRD - Celosvětová akce

UT code for WoS article

000582714500107