Shop : Verlinkung
Shop
Verlinkung
45,80 €ISBN 978-3-8440-8967-7Paperback148 Seiten53 Abbildungen201 g21 x 14,8 cmEnglischDissertation
Februar 2023
Neuerscheinung
Jose Daniel Alvarez Coello
Vehicle Data Semantics for Driving Context Knowledge
Data is an asset, and its relevance is acknowledged worldwide. Modern vehicles represent a tremendous data source. Despite its value, data must be prepared before it can support decision-making. Data and software architectures in the automotive industry have been traditionally application-centric. This type of architecture causes repeated data engineering processes due to the missing adoption of standards and the lack of semantic data models. Consequently, several isolated data models are developed to serve specific use cases.
There is currently no standard semantic data model to cope with the variety of the vehicle’s dynamic properties and the outcomes obtained by applications that process them. Additionally, such properties produce data streams that impose the so-called one-pass constraint on the architecture. It is then crucial to either process, store, or forward the observed data; otherwise, it is lost forever. Since vehicles have constrained computation, storage, and bandwidth resources, data streams must be handled appropriately to maximize their use.
This thesis studies how to design an artifact that interprets vehicle data streams and represents their meaning in a human-understandable way so that instant, actionable, and reusable facts are obtained in the vehicle architecture. Following the Design Science Research methodology, it proposes an approach for working with vehicle data streams at a higher abstraction layer than raw sensor data. The proposed design consists of a semantic model for vehicle data and its dynamic properties, a stream analysis process for continuous data aggregation, a semantic annotation step for adding explicit context, and a knowledge formalization step in the form of rules for representing the logic behind the desired information.
There is currently no standard semantic data model to cope with the variety of the vehicle’s dynamic properties and the outcomes obtained by applications that process them. Additionally, such properties produce data streams that impose the so-called one-pass constraint on the architecture. It is then crucial to either process, store, or forward the observed data; otherwise, it is lost forever. Since vehicles have constrained computation, storage, and bandwidth resources, data streams must be handled appropriately to maximize their use.
This thesis studies how to design an artifact that interprets vehicle data streams and represents their meaning in a human-understandable way so that instant, actionable, and reusable facts are obtained in the vehicle architecture. Following the Design Science Research methodology, it proposes an approach for working with vehicle data streams at a higher abstraction layer than raw sensor data. The proposed design consists of a semantic model for vehicle data and its dynamic properties, a stream analysis process for continuous data aggregation, a semantic annotation step for adding explicit context, and a knowledge formalization step in the form of rules for representing the logic behind the desired information.
Schlagwörter: Vehicle data; data streams; stream reasoning; semantic data
Oldenburger Schriften zur Wirtschaftsinformatik
Herausgegeben von Prof. Dr.-Ing. Jorge Marx Gómez, Oldenburg
Band 34
Link zum Buch
Kopieren Sie einfach folgende Zeilen in Ihr HTML-Dokument:
Das Buch <a href="https://www.shaker.de/shop/978-3-8440-8967-7">Jose Daniel Alvarez Coello - Vehicle Data Semantics for Driving Context Knowledge</a><br />(ISBN: 978-3-8440-8967-7) wurde im <a href="https://www.shaker.de">Shaker Verlag</a> veröffentlicht.
Ergebnis:
Das Buch Jose Daniel Alvarez Coello - Vehicle Data Semantics for Driving Context Knowledge
(ISBN: 978-3-8440-8967-7) wurde im Shaker Verlag veröffentlicht.
(ISBN: 978-3-8440-8967-7) wurde im Shaker Verlag veröffentlicht.
Link zur Reihe
Kopieren Sie einfach folgende Zeilen in Ihr HTML-Dokument:
Die Reihe <a href="https://www.shaker.de/Reihe/436">Oldenburger Schriften zur Wirtschaftsinformatik</a> erscheint im <a href="https://www.shaker.de">Shaker Verlag</a>.
Ergebnis:
Die Reihe Oldenburger Schriften zur Wirtschaftsinformatik
erscheint im Shaker Verlag.
Shaker Verlag GmbH
Am Langen Graben 15a
52353 Düren
Am Langen Graben 15a
52353 Düren
Mo. - Do. 8:00 Uhr bis 16:00 Uhr
Fr. 8:00 Uhr bis 15:00 Uhr
Fr. 8:00 Uhr bis 15:00 Uhr
Kontaktieren Sie uns. Wir helfen Ihnen gerne weiter.
