INTEGRATING AUTHORITATIVEAND VOLUNTEEREDGEOGRAPHIC INFORMATION -AN ONTOLOGICAL APPROACHCrowd SourcinginNationalMappingInte...
Table of contents21. Background2. Problem3. Objective4. Proposed approach5. Semantics in OSM datasets (ongoing work)6. Con...
Background3(*) http://ggim.un.org/ (UN Report, 2012)National Mapping Agencies (NMAs) are likely tofind difficult to justif...
The Problem4SemanticHeterogeneityinGeographicInformationmotorwayConceptualizationturnpiketrunkConceptualizationWords or sy...
trunkConceptualizationThe Problem5SemanticHeterogeneityinGeographicInformationturnpikePre-processEverybody thinking thesam...
6ObjectSubjectRoadTransportation“Explicit specificationof a conceptualization”Gruber, 1993They are ways toconceptualize ad...
Ontology37Dataset 2turnpikeDataset 1FreewayOntology2Ontology1ObjectiveUsualapproachtogeodataintegrationusingontologiesTurn...
motorwaytrunkfreewayOfficial source 1turnpikeProposed Approach8Themethodaccordingtheobjectives“turnpike”R2RMLmappingR2RMLm...
Quebec• <highway=bus_stop>St. John´s▪ <public_transport=stop_position>9Morethanonetagperreal-worldphenomenon (synonymy)Ong...
10Morethanonetagperreal-worldphenomenon (synonymy)Ongoingwork:SemanticHeterogeneityin OSM datasetsNumber of tags per pheno...
Conclusions and future work11Proposed approach is based in a domain ontology, which allows:• Matching datasets to a common...
Thank you. Gracias.Questions?12AGILE/EuroSDRNSERCTUDelftIGNSpainSinfogeoLtd.Dr.JeanBrodeurDrs.MariandeVriesMarineandGeomat...
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Semantic integration of authoritative and VGI

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Presentation during ACTIVITY Workshop at AGILE 2013 Conference. Leuven, Belgium. May 2013.

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Semantic integration of authoritative and VGI

  1. 1. INTEGRATING AUTHORITATIVEAND VOLUNTEEREDGEOGRAPHIC INFORMATION -AN ONTOLOGICAL APPROACHCrowd SourcinginNationalMappingInternshipFundingACTIVITYWorkshopLeuven(Belgium)14thMay2013JimenaMartínezRamos[jmr125@mun.ca]
  2. 2. Table of contents21. Background2. Problem3. Objective4. Proposed approach5. Semantics in OSM datasets (ongoing work)6. Conclusions and future work
  3. 3. Background3(*) http://ggim.un.org/ (UN Report, 2012)National Mapping Agencies (NMAs) are likely tofind difficult to justify the costs of traditionaldata maintenance mechanisms.VGI projects (like OpenStreetMap) are growingand are seen as a good data source to beintegrated with authoritative datasets.There is growing need of integrating differentdata sources.Semantic interoperability is still an issue in theintegration problem.TheneedofintegratingGeographicInformationfromdifferentsources?Levels of heterogeneitySystemSyntacticStructuralSemantic(meaning of words)
  4. 4. The Problem4SemanticHeterogeneityinGeographicInformationmotorwayConceptualizationturnpiketrunkConceptualizationWords or symbols standfor things through ideasDifferentconceptualizations:Semantic HeterogeneitiesOgden andRichards, 1923ConceptualizationConceptualizationReality (road)Symbol (freeway)
  5. 5. trunkConceptualizationThe Problem5SemanticHeterogeneityinGeographicInformationturnpikePre-processEverybody thinking thesamePost-processMatching symbols withthe same meaningSTANDARDS!ONTOLOGIES!Reality (road)ConceptualizationfreewayfreewayConceptualizationConceptualizationtrunkConceptualizationConceptualizationConceptualization
  6. 6. 6ObjectSubjectRoadTransportation“Explicit specificationof a conceptualization”Gruber, 1993They are ways toconceptualize adomain.The ProblemWhatareontologiesabout?Class Properties (Sub)classisSubclassOfPredicateisSuperclassOf
  7. 7. Ontology37Dataset 2turnpikeDataset 1FreewayOntology2Ontology1ObjectiveUsualapproachtogeodataintegrationusingontologiesTurnpike=motorwayFreeway=motorwayFreeway+Turnpike=motorwayFreeway+TurnpikemotorwayCommonStandardconceptualizationInteroperabledatasetsOntologyandStandardapproachtosemanticintegrationVGI(OSM)motorway
  8. 8. motorwaytrunkfreewayOfficial source 1turnpikeProposed Approach8Themethodaccordingtheobjectives“turnpike”R2RMLmappingR2RMLmappingR2RMLmappingRDFRDFRDFStandardDomainOntologyRealityCommonKnowledge“motorway”Official source 1OpenStreetMap
  9. 9. Quebec• <highway=bus_stop>St. John´s▪ <public_transport=stop_position>9Morethanonetagperreal-worldphenomenon (synonymy)Ongoingwork:SemanticHeterogeneityin OSM datasets▪▪▪▪▪▪▪▪Number of tags per phenomenon increases with the scale, and % is important•<highway=bus_stop> ▪<public_transport=stop_position>
  10. 10. 10Morethanonetagperreal-worldphenomenon (synonymy)Ongoingwork:SemanticHeterogeneityin OSM datasetsNumber of tags per phenomenon evolve with time, and % is still important•<highway=bus_stop> ▪<public_transport=stop_position>20062008Agreement through timeIncreasing level of agreementDecreasing level of agreement
  11. 11. Conclusions and future work11Proposed approach is based in a domain ontology, which allows:• Matching datasets to a common pivot (R2RML allows flexible and directmappings)• No need to know how to handle ontologies.• Reusing the mappings.Semantic Heterogeneity in OSM datasets.• Number of tags and their % of occurrence per real-world phenomenon• Time and spatial scale are factors affecting SH in OSM datasets.Future work:• Developing more the ontology.• User-friendly interface for making R2RML mappings.• Deeper study factors involved in SH in OSM datasets, trying to model it.
  12. 12. Thank you. Gracias.Questions?12AGILE/EuroSDRNSERCTUDelftIGNSpainSinfogeoLtd.Dr.JeanBrodeurDrs.MariandeVriesMarineandGeomaticsLabcolleagues<amenity=plane>AcknowledgementsPNOA aerial images. IGN Spain Icons by http://dryicons.com Jimena Martinez [jmr125@mun.ca]
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