Towards a Semantically Enriched Local Dynamic Map

• Published in: International journal of ITS research Vol. 17; no. 1; pp. 32 - 48
• Main Authors: Eiter, Thomas, Füreder, Herbert, Kasslatter, Fritz, Parreira, Josiane Xavier, Schneider, Patrik
• Format: Journal Article
• Language: English
• Published: New York Springer US 01-01-2019; Springer Nature B.V
• Subjects: Annotations; Automotive Engineering; Civil Engineering; Computer Imaging; Electrical Engineering; Engineering; Intelligent transportation systems; Ontology; Pattern Recognition and Graphics; Robotics and Automation; Semantic web; User Interfaces and Human Computer Interaction; Vision; Ontologies; Semantic web technologies; Streaming data; Cooperative Intelligent Transport Systems (C-ITS); Local dynamic map
• ISSN: 1348-8503; 1868-8659
• DOI: 10.1007/s13177-018-0154-x

With the increasing availability of Cooperative Intelligent Transport Systems, the
Local Dynamic Map
(LDM) is becoming a key technology for integrating static, temporary, and dynamic information in a geographical context. However, existing ideas do not leverage the full potential of the LDM approach, as an LDM contains streaming data and varying
implicit
information which are not captured by current models. We aim to provide a
semantically enriched
LDM that applies Semantic Web technologies, in particular ontologies, in combination with spatial stream databases. This allows us to define an enhanced world model, to derive model properties, to infer new information, and to offer expressive query capabilities over streams. We introduce our envisioned architecture which includes an LDM ontology, an integration and annotation framework, and a stream query answering component. We also sketch three application scenarios that illustrate the usability and benefits of our approach, thus we provide an in-depth validation of the scenarios in an experimental prototype.