Deadline Extended: Special Issue on Transport Data on the Web - Semantic Web Journal

Dear all,
We would like to inform you that the submission deadline for the Special Issue on Transport Data on the Web in the Semantic Web Journal <http://www.semantic-web-journal.net/blog/call-papers-special-issue-transport-data-web> has been extended until 1st of November 2020. Find below the details of the call for papers.


Mobility-as-a-Service (MaaS) integrates different transport services into a single mobility service. The goal is to provide a traveler with all the services needed for a door-to-door travel under a single payment whilst integrating disparate modes of mobility (public transport, car- or bike-sharing, taxi/car rental, or a combination thereof) under one travel experience. After years of conceptualization and strategizing, MaaS is becoming a reality. Different initiatives are creating specifications for route planning and ticketing APIs. As multiple companies can offer a way to get from A to B and validate a ticket, a “smart mobility” ecosystem is by definition decentralized, and Semantic Web technologies can thus excel for this use case.

Topics relevant to this special issue include – but are not limited to – the following:
 • Decentralized data management
  • Query languages and methods for a Web of Transport Data
  • Creating automated alignments between datasets using the various specifications
  • Recommendations for mobility specification builders to raise interoperability between specifications
  • Alignments with existing or upcoming general purpose Web API specifications such as W3C Web payments or SOLID
  • Interfaces between enterprise data and the Semantic Web
 • Exploitation of Transport Data on the Web
  • Challenges and opportunities for route planning and ticketing
  • Personalized route planning taking into account data stored on your client or personal data space
  • Anonymization in the mobility space for data sharing
 • Benchmarking of Web Infrastructure
  • Comparing ticketing API architectures
  • Comparing route planning API architectures
  • Publishing and querying planned transport data and their live updates on the Web
 • Knowledge Graphs and Ontologies in the transportation domain
  • Aligning regional vocabularies such as the Flemish Mobility specification or the Finnish reference vocabularies with international reference domain models such as Transmodel or DATEXII
  • Reusing existing linked datasets, such as Geonames, OpenStreetMap or Wikidata, for MaaS use cases
  • Bridging the gap with non-RDF specifications such as Mobility Data Specification, General Transit Feed Specification, General Bike Feed Specification, TOMP API or MaaS API.


Best regards,
 
David Chaves-Fraga, Universidad Politécnica de Madrid
Pieter Colpaert, Ghent University – IDLab – imec
Joshua Shinavier, Uber
Marco Comerio, Cefriel
Mersedeh Sadeghi, Politecnico di Milano


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David Chaves
PhD Student
Ontology Engineering Group (OEG)
Universidad Politécnica de Madrid