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Integrating Authoritative and Volunteered Geographic Information - An Ontological Approach

Integrating Authoritative and Volunteered Geographic Information - An Ontological Approach. Crowd Sourcing in National Mapping Internship Funding ACTIVITY Workshop Leuven ( Belgium ) 14th May 2013 Jimena Martínez Ramos [jmr125@mun.ca]. Table of contents. Background.

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Integrating Authoritative and Volunteered Geographic Information - An Ontological Approach

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  1. Integrating Authoritative and Volunteered Geographic Information -An Ontological Approach Crowd Sourcing in National Mapping InternshipFunding ACTIVITY Workshop Leuven (Belgium) 14th May 2013 Jimena Martínez Ramos [jmr125@mun.ca]

  2. Table of contents

  3. Background Theneed of integratingGeographicInformationfromdifferentsources ? (*) http://ggim.un.org/ (UN Report, 2012)

  4. Ogden and Richards, 1923 The Problem SemanticHeterogeneity inGeographicInformation Different conceptualizations: Semantic Heterogeneities Words or symbols stand for things through ideas Conceptualization Conceptualization Conceptualization Conceptualization motorway trunk Symbol (freeway) Reality (road) turnpike road

  5. The Problem SemanticHeterogeneity inGeographicInformation Post-process Matching symbols withthesamemeaning ONTOLOGIES! Pre-process Everybodythinking the same STANDARDS! Conceptualization Conceptualization Conceptualization Conceptualization Conceptualization trunk trunk Conceptualization Conceptualization turnpike freeway freeway Reality (road)

  6. TheProblem What are ontologiesabout? Subject Object “Explicitspecification of a conceptualization” Gruber, 1993 They are waystoconceptualize a domain. • Predicate Class Properties (Sub)class Transportation Road isSuperclassOf • isSubclassOf

  7. Objective Usual approachtogeodataintegrationusingontologies • Ontology and Standard approachtosemanticintegration Ontology1 Dataset 1 Freeway motorway Freeway+ Turnpike = motorway Freeway+ Turnpike Turnpike = motorway Freeway = motorway Common Standard conceptualization Interoperable datasets ? Ontology2 Dataset 2 turnpike Ontology3 VGI(OSM) motorway

  8. ProposedApproach The methodaccording the objectives Official source 1 trunk motorway freeway turnpike R2RML mapping RDF “freeway” “motorway” Official source 1 R2RML mapping RDF “turnpike” “motorway” #user 1: “trunk” “motorway” #user n: “motorway” OpenStreetMap RDF R2RML mapping Standard Domain Ontology Common Knowledge Reality

  9. Ongoingwork: SemanticHeterogeneity in OSM datasets • More thanonetag per real-worldphenomenon (synonymy) Number of tags per phenomenonincreaseswiththescale, and % isimportant •<highway=bus_stop> ▪<public_transport=stop_position> • Quebec •<highway=bus_stop> St. John´s▪<public_transport=stop_position>       ▪  ▪ ▪ ▪  ▪  ▪  ▪  ▪

  10. Ongoingwork: SemanticHeterogeneity in OSM datasets More thanonetag per real-worldphenomenon (synonymy) Number of tags per phenomenonevolvewith time, and % isstillimportant •<highway=bus_stop> ▪<public_transport=stop_position> Decreasinglevel of agreement Agreementthrough time Increasinglevel of agreement 2006 2008

  11. Conclusions and futurework

  12. Acknowledgements Thankyou. Gracias.Questions? AGILE/EuroSDR NSERC TU Delft IGN Spain Sinfogeo Ltd. Dr. Jean Brodeur • Drs. Marian de Vries Marine and GeomaticsLabcolleagues <amenity=plane> Jimena Martinez [jmr125@mun.ca] PNOA aerial images. IGN Spain Icons by http://dryicons.com

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