The rapid growth of data in the ever-evolving digital world has made data governance a challenging task. Knowledge mapping has emerged as a powerful solution to address this challenge, serving as a foundation for understanding and organising the vast amount of information generated at an accelerating pace in the automotive and telecommunications industries, among other fields.

What is a Knowledge Map?

A Knowledge Map is a structured, visual representation of information and knowledge in the form of a graph consisting of nodes (real world concepts or entities) connected by edges (relationships or properties). Its purpose is to model and organise complex information in a manner that is feasible for both humans and machines to understand and navigate. Using semantic technologies and ontologies, knowledge maps are able to recognize distinct entities and comprehend the interrelations between them. Furthermore, reasoning in ontologies based on concepts and rules, enhances their utility by ensuring consistency, enabling inferencing, supporting query answering, and, in general, promoting knowledge discovery. Therefore, knowledge maps can provide a model of how everything is related, having each concept represented only once capturing all its relationships in the context of all the other concepts and their interrelationships.

Knowledge Maps for advancing Cooperative, Connected and Automated Mobility (CCAM) solutions

Knowledge Maps can be tailored to various domains and industries, allowing for a wide range of applications and customisation to meet specific needs. By outlining and understanding users’ preferences, interests, and behaviour, they can provide personalised guidelines and recommendations in the domain of interest.

Cooperative, Connected and Automated Mobility (CCAM) is an example of a field where knowledge has been advancing rapidly. The complex interrelationships in CCAM extend across technological, operational, regulatory, social and economic dimensions involving a multitude of stakeholders, including vehicle manufacturers, infrastructure providers, regulatory bodies, and technology developers among others. New enabling technologies are also emerging in the last few years yielding the necessity for effective and efficient knowledge sharing between the various stakeholders towards the sustainable development and effective deployment of CCAM services. Knowledge mapping is an essential component in the design and development of CCAM solutions as it helps with visualising and managing the complex interactions and dependencies among these entities, thus facilitating better collaboration and understanding.

Increased safety through improved risk identification and better decision-making, as well as inclusion and social equity through barrier and gap recognition in various CCAM solutions, are some of the key benefits that knowledge mapping can offer to CCAM and transport fields.

The SINFONICA Knowledge Map: an innovative tool able to exploit the knowledge by providing practical guidelines and long-term recommendations.

SINFONICA will use open sources of information related to mobility in order to enrich and provide a comprehensive knowledge base of users’ and stakeholders’ needs, requirements, expectations and concerns in a structured way, by exploiting semantic technologies and ontologies. Special focus will be given to the needs of vulnerable users and under-researched groups, including women, disabled and elderly people, ethnic minorities, people from low-income backgrounds and with varying digital literacy etc. The result of this work, namely the SINFONICA Knowledge Map, will identify gaps in the process of mapping and managing knowledge, serving as a comprehensive and innovative decision-making tool for designers and decision makers in the domain of CCAM, fostering its seamless and sustainable deployment, to be inclusive and equitable for all citizens.)

Keywords: Knowledge Map, CCAM, data management, SINFONICA Knowledge Map, mobility solutions, innovative tool

Author: Lazaros Giannakos, ICCS

Picture from Freepik