Memorias de investigación
Communications at congresses:
The tripscore Linked Data client: calculating specific summaries over large time series
Year:2017
Research Areas
  • Information technology and adata processing
Information
Abstract
Time series - such as public transport time schedules and their actual departure times - may deliver insights about the public transport network to third parties. Today, however, public transport data is published in a way in which analytical processing is too expensive. In previous work, the Linked Connections(LC) framework was introduced as a cost-efficient publishing alternative to the de-facto GTFS standard and route planning APIs. We study whether this server interface can also be used by Linked Data agents to solve analytical queries over longer periods of time. In this work, we created a serverless Linked Data client in Javascript for the analysis of time series on top of public transport data sources, called tripscore.eu. In this example, it calculates the quality of experience for your journey for the last 5 weeks using the public transport agencies it can discover. We have made the code to this proof of concept available as open source in different reusable components. As the user-perceived performance is quite slow, we formulate opportunities to achieve better response times. We could, on the one hand, suggest the data publisher to publish summaries over longer periods of time. On the other hand, we could also, as reusers, create a private summary of the data on our server and expose this to our user agents. Still an open issue is how this client would discover new public transport agencies reliably, for which we started working on a metadata profile for transport datasets
International
Si
Congress
Workshop on Decentralizing the Semantic Web 2017 co-located with 16th International Semantic Web Conference
960
Place
Viena, Austria
Reviewers
Si
ISBN/ISSN
1613-0073
Start Date
21/10/2017
End Date
25/10/2017
From page
98
To page
104
Proceedings of the Workshop on Decentralizing the Semantic Web 2017 co-located with 16th International Semantic Web Conference
Participants
  • Autor: David Chaves Fraga UPM
  • Autor: Julián Rojas Ghent University
  • Autor: Pieter-Jan Vandenberghe Ghent University
  • Autor: Pieter Colpaert Ghent University
  • Autor: Oscar Corcho Garcia UPM
Research Group, Departaments and Institutes related
  • Creador: Grupo de Investigación: Ontology Engineering Group
  • Departamento: Inteligencia Artificial