Editorial of transport data on the web

Chaves-Fraga, David; Colpaert, Pieter; Sadeghi, Mersedeh; Comerio, Marco

doi:10.3233/sw-223278

Cited by 2 publications

(1 citation statement)

References 26 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The transportation domain is another major application field of semantic interoperability [29], [30]. The use of ontologies enables data interoperability among different community transport service providers of vehicle sharing services.…”

Section: Related Workmentioning

confidence: 99%

Automated Creation of Mappings Between Data Specifications Through Linguistic and Structural Techniques

2023

Self Cite

View full text Add to dashboard Cite

The ability to perform automated conversions between different data formats is key to achieve interoperability between heterogeneous systems. Conversions require the definition of mappings between concepts of separate data specifications, which is typically a difficult and time-consuming task.In this article, we present a technique that exploits, in part, semantic web technologies, to automatically suggest mappings to users, based on both linguistic and structural similarities between terms of different data specifications. In addition, we show how a machine-learned linguistic model created by gathering data from domain-specific sources can help increase the accuracy of the suggested mappings. The approach has been implemented in our prototype tool, SMART (SPRINT Mapping & Annotation Recommendation Tool), and it has been validated through tests carried out using specifications from the transportation domain.

show abstract

Section: Related Workmentioning

confidence: 99%

Automated Creation of Mappings Between Data Specifications Through Linguistic and Structural Techniques

2023

Self Cite

View full text Add to dashboard Cite

show abstract

Interoperability of heterogeneous Systems of Systems: from requirements to a reference architecture

Sadeghi,

Carenini,

Corcho

et al. 2023

J Supercomput

View full text Add to dashboard Cite

Interoperability stands as a critical hurdle in developing and overseeing distributed and collaborative systems. Thus, it becomes imperative to gain a deep comprehension of the primary obstacles hindering interoperability and the essential criteria that systems must satisfy to achieve it. In light of this objective, in the initial phase of this research, we conducted a survey questionnaire involving stakeholders and practitioners engaged in distributed and collaborative systems. This effort resulted in the identification of eight essential interoperability requirements, along with their corresponding challenges. Then, the second part of our study encompassed a critical review of the literature to assess the effectiveness of prevailing conceptual approaches and associated technologies in addressing the identified requirements. This analysis led to the identification of a set of components that promise to deliver the desired interoperability by addressing the requirements identified earlier. These elements subsequently form the foundation for the third part of our study, a reference architecture for interoperability-fostering frameworks that is proposed in this paper. The results of our research can significantly impact the software engineering of interoperable systems by introducing their fundamental requirements and the best practices to address them, but also by identifying the key elements of a framework facilitating interoperability in Systems of Systems.

show abstract

Editorial of transport data on the web

Cited by 2 publications

References 26 publications

Automated Creation of Mappings Between Data Specifications Through Linguistic and Structural Techniques

Automated Creation of Mappings Between Data Specifications Through Linguistic and Structural Techniques

Interoperability of heterogeneous Systems of Systems: from requirements to a reference architecture

Contact Info

Product

Resources

About