The tripscore Linked Data client: calculating specific summaries over large time series

Chaves Fraga, David and Rojas, Julián and Vandenberghe, Pieter-Jan and Colpaert, Pieter and Corcho, Oscar (2017). The tripscore Linked Data client: calculating specific summaries over large time series. In: "Workshop on Decentralizing the Semantic Web 2017", 21-22 Oct 2017, Viena, Austria. pp. 98-104.

Description

Title: The tripscore Linked Data client: calculating specific summaries over large time series
Author/s:
  • Chaves Fraga, David
  • Rojas, Julián
  • Vandenberghe, Pieter-Jan
  • Colpaert, Pieter
  • Corcho, Oscar
Item Type: Presentation at Congress or Conference (Article)
Event Title: Workshop on Decentralizing the Semantic Web 2017
Event Dates: 21-22 Oct 2017
Event Location: Viena, Austria
Title of Book: DeSemWeb 2017: ISWC2017 workshop on Decentralizing the Semantic Web
Date: 2017
Volume: 1934
Subjects:
Freetext Keywords: Linked Data; Time series; Decentralization; Route planning
Faculty: E.T.S. de Ingenieros Informáticos (UPM)
Department: Inteligencia Artificial
Creative Commons Licenses: Recognition - No derivative works - Non commercial

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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

More information

Item ID: 50157
DC Identifier: http://oa.upm.es/50157/
OAI Identifier: oai:oa.upm.es:50157
Official URL: https://cef-oasis.github.io/tripscore/tripscore.html
Deposited by: Memoria Investigacion
Deposited on: 20 May 2019 08:25
Last Modified: 06 Nov 2019 06:21
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