https://openplanner.team – Pieter Colpaert, imec Linked Transmodel CEN TC278WG3 2019-06-19 The Transmodel domain model used within Linked Data technologies https://pietercolpaert.be 

https://openplanner.team – Pieter Colpaert, imec What’s Linked Data? The 2 problems it helps solving in 4 slides 

name type city population Gare du Nord Station Paris 2.2m { "Gare du Nord" : { "type" : "Station", "city" : { "name": "Paris", "population":"2.2m" } } } Station 2.2m Table / CSV / Spreadsheet JSON XML Serialisations 

. . “2.2m” . Table / CSV / Spreadsheet 3 time a datum Triples – Resource Description Framework (RDF 1.1) { "Gare du Nord" : { "type" : "Station", "city" : { "name": "Paris", "population":"2.2m" } } } Station 2.2m JSON XML name type city population Gare du Nord Station Paris 2.2m 

World Wide Web Garedunord city Paris Gare du Nord type Station Paris population 2.2m HTTP Machine 1 HTTP Machine 2 HTTP Machine 3 The Web: a decentralized data ecosystem A user agent visiting each machine knows more than any of the machines independently E.g., data.sncf.com E.g., transport.data.gouv.fr E.g., wikipedia.com 

Solution Gare du Nord → http://www.wikidata.org/entity/Q745942 is a → http://www.w3.org/1999/02/22-rdf-syntax-ns#type Station → http://vocab.gtfs.org/terms#Station Uniform Resource Identifiers (URIs) 

https://openplanner.team – Pieter Colpaert, imec 1. Describes how to express triples in different serializations (RDF) 2. Introduces global identifiers (HTTP URIs) for domain models and their instances Linked Data 

https://openplanner.team – Pieter Colpaert, imec Linked Data does not solve semantic interoperability Station → http://vocab.gtfs.org/terms#Station But also… ● http://www.wikidata.org/entity/Q55488 (railway station) ● https://schema.org/TrainStation ● http://linkedgeodata.org/ontology/RailwayStation (from OSM) ● … Transmodel? 

https://openplanner.team – Pieter Colpaert, imec Linked Data creates a framework to solve semantic interoperability 

https://openplanner.team – Pieter Colpaert, imec Although that is already quite advanced… … Being able to rely on the semantics of one standard already comes a long way { "@context" : { "Station": "https://w3id.org/transmodel/terms#StopPlace", "name":"https://schema.org/name" }, "@id": "#GareDuNord", "@type": "Station", "name": "Gare du Nord" } 

https://openplanner.team – Pieter Colpaert, imec Why am I pitching this idea? 1. Threat of Transmodel “implementations” drifting semantics MMTIS delegated regulation: how to comply? 2. Opportunity for Transmodel to become a thriving standard in Linked Transport Data ⇒ Linked GTFS falls short of expressivity 

https://openplanner.team – Pieter Colpaert, imec https://eur-lex.europa.eu/legal-content/EN/TXT/?uri=PI_COM:C(2017)3574 Machine-readable == RDF? Fully compatible == semantic shape validations? What’s fully compatible machine readable? 

https://openplanner.team – Pieter Colpaert, imec Proposed actions 1. Create a set of URIs on a Github repo (just like the NeTEx XSD): a. Action point 1: choose base URI. Proposal: “https://w3id.org/transmodel/terms#” b. Action point 2: create 1 on 1 mapping. Proposal: collaborate with the SNAP project they got funding for this: https://github.com/oeg-upm/transmodel-ontology) 2. A work item to create validation rules for “fully-compatible machine-readable formats” Further reading: https://book.validatingrdf.com/ 

https://openplanner.team – Pieter Colpaert, imec Existing implementations related to today’s meeting ● INSPIRE and Linked Data: https://github.com/inspire-eu-rdf ● Datex2: http://vocab.datex.org/vocabulary.jsonld – Code example: https://codepen.io/pietercolpaert/pen/rdPYXQ ● Wikidata has URIs and more information for stations world-wide: interesting link-set ● DCAT-AP for the metadata in National Access Points 

https://openplanner.team – Pieter Colpaert, imec Invitation - Submit a paper to the Semantics for Transport workshop: https://sem4tra.linkeddata.es September 2019, Karlsruhe - W3C working group on Data Models for Transportation https://www.w3.org/auto/events/data-ws-2019/cfp September 2019, San Francisco