How to Understand Better “Smart Vehicle”? Knowledge Extraction …
309
Fig. 1 Knowledge extraction from scientific publications and ontologies (Long-term vision)
4 Knowledge Extraction for the Automotive Sector (KEAS)
Methodology
The long-term vision of the Knowledge Extraction from IoT-related ontologies
project is depicted in Fig. 1. In this paper, we are focused on the Ontology code
extraction algorithm and the Ontology Dataset components applied to the smart
vehicle domain.
4.1 Survey Methodology to Collect Ontologies for Smart
Vehicles
Scientific Publication Corpus and Ontology Dataset. We collected a total of 42
projects from 2005 to 2018 more or less related to smart vehicles. However, the
aggregation of knowledge has been done since several years. The methodology has
been search on Google and Google Scholar a set of specific keywords, as an example
those keyphrases: (1) start with ontology-based, (2) finished with ontology, or (3)
start with semantic-based. Keyphrases are as follows:
• Automotive, Automated vehicle, Autonomous vehicle, Car, Cars, Vehicle, Vehicles, Smart car.
• Transportation, Transportation networks, Transport, Public transportation.
• Road Traffic Management, Roads, Road system, Traffic Jam Avoidance.
• Personalized Route Planning, Route Planning.
• Car Driving Assistance, Driver Assistance Systems, Advanced Driver Assistance,
Intelligent Driver Assistance System.
• Vehicular Ad Hoc Networks (VANETs), Wireless Vehicular Networks (VANETs),
Vehicle-to-Vehicle (V2V), Vehicle-to-Vehicle Networks, Vehicular Networks.
309
Fig. 1 Knowledge extraction from scientific publications and ontologies (Long-term vision)
4 Knowledge Extraction for the Automotive Sector (KEAS)
Methodology
The long-term vision of the Knowledge Extraction from IoT-related ontologies
project is depicted in Fig. 1. In this paper, we are focused on the Ontology code
extraction algorithm and the Ontology Dataset components applied to the smart
vehicle domain.
4.1 Survey Methodology to Collect Ontologies for Smart
Vehicles
Scientific Publication Corpus and Ontology Dataset. We collected a total of 42
projects from 2005 to 2018 more or less related to smart vehicles. However, the
aggregation of knowledge has been done since several years. The methodology has
been search on Google and Google Scholar a set of specific keywords, as an example
those keyphrases: (1) start with ontology-based, (2) finished with ontology, or (3)
start with semantic-based. Keyphrases are as follows:
• Automotive, Automated vehicle, Autonomous vehicle, Car, Cars, Vehicle, Vehicles, Smart car.
• Transportation, Transportation networks, Transport, Public transportation.
• Road Traffic Management, Roads, Road system, Traffic Jam Avoidance.
• Personalized Route Planning, Route Planning.
• Car Driving Assistance, Driver Assistance Systems, Advanced Driver Assistance,
Intelligent Driver Assistance System.
• Vehicular Ad Hoc Networks (VANETs), Wireless Vehicular Networks (VANETs),
Vehicle-to-Vehicle (V2V), Vehicle-to-Vehicle Networks, Vehicular Networks.