Successfully reported this slideshow.
We use your LinkedIn profile and activity data to personalize ads and to show you more relevant ads. You can change your ad preferences anytime.

From interoperable to interoperating Geosemantic resources; Practical examples of producing and using Linked Geospatial Data (LGD)

1,314 views

Published on

Conference presentation given at Computer Applications in Archaeology 2015, Siena, Italy

Published in: Education
  • Be the first to comment

  • Be the first to like this

From interoperable to interoperating Geosemantic resources; Practical examples of producing and using Linked Geospatial Data (LGD)

  1. 1. GSTAR – Computer Application & Quantitative Methods in Archaeology 2015 – Siena, March-April 2015 From interoperable to interoperating Geosemantic resources Paul Cripps University of South Wales, Trefforest, UK • Hypermedia Research Group • Geographic Information Systems (GIS) Research Group Archaeogeomancy, Salisbury, UK http://gstar.archaeogeomancy.net/ PracticalexamplesofproducingandusingLinked GeospatialData(LGD) Douglas Tudhope University of South Wales, Trefforest, UK • Hypermedia Research Group
  2. 2. GSTAR – Computer Application & Quantitative Methods in Archaeology 2015 – Siena, March-April 2015 Introduction • Background • Geospatial Semantics • Linked Geospatial Data (LGD) • LGD for Archaeological Research • GSTAR • Producing LGD • Using LGD • Case Study: • Colonisation of Britain • Case Study: • CRMEHgeo • Interoperable • Interoperating Earthorama by spdorsey http://flic.kr/p/69C5QD
  3. 3. GSTAR – Computer Application & Quantitative Methods in Archaeology 2015 – Siena, March-April 2015 Geospatial Semantics • “…research area combining Geographic Information Science (GIScience), spatial databases, cognitive science, Artificial Intelligence (AI) and the Semantic Web” • Janowicz, K. et al., 2012. • Concept of Linked Geospatial Data (LGD) as means of expressing spatial information
  4. 4. GSTAR – Computer Application & Quantitative Methods in Archaeology 2015 – Siena, March-April 2015 Linked Geospatial Data • LD including spatial components • Various forms, methods, approaches: • Suit different use cases • ‘Simple’ database, textual, LD approaches • More complex GIS driven approaches • Major research area • W3C + OGC collaboration • Semantic Web / Linked Data community • Geospatial community
  5. 5. GSTAR – Computer Application & Quantitative Methods in Archaeology 2015 – Siena, March-April 2015 Linked Geospatial Data • Simple LGD: • Placenames • Gazetteers • eg Plaiedes, Geonames, Ordnance Survey • Leverage Linked Data approaches • Coordinates ie point locations • Numbers, text • Leverage numeric approaches • Mapping as points, markers
  6. 6. GSTAR – Computer Application & Quantitative Methods in Archaeology 2015 – Siena, March-April 2015 Linked Geospatial Data • Advanced LGD: • Geometries • points, lines, polygons, donuts, etc • Relations & Functions • eg Within, Contains, Intersects • eg Buffer • Coordinate Reference Systems (CRS) • Transformations & Projections • Implement OGC standards • WKT, GML, Simple Features • Implement W3C standards • XML, RDF, RDFS, OWL, SPARQL • New OGC+W3C standards • GeoSPARQL
  7. 7. GSTAR – Computer Application & Quantitative Methods in Archaeology 2015 – Siena, March-April 2015 LGD for Archaeological Research • Real-world Archaeological Research Questions can be complex: • “Show me a distribution density plot for each Parish in my Study Area of all object records by type from prehistoric sites of type barrow within 500m of a higher than average density of worked flint” • Currently not easy to do… • Disparate sources, including Linked Data • Semantic, Numeric, Spatial
  8. 8. GSTAR – Computer Application & Quantitative Methods in Archaeology 2015 – Siena, March-April 2015 GSTAR • GeoSemantic Technologies for Archaeological Research • Doctoral research project • Due for completion April 2016 • Building on: • core CIDOC CRM • CRMEH extension • GeoSPARQL
  9. 9. GSTAR – Computer Application & Quantitative Methods in Archaeology 2015 – Siena, March-April 2015 GSTAR • Investigating: • Production of Linked (Geospatial) Data • Working with Linked (Geospatial) Data • For Archaeological research purposes • Use cases: • Archaeological research scenarios (academic, commercial, etc) • How can LGD support real-world research processes? • Using range of data from UK institutions • Wiltshire Museums, Wiltshire Historic Environment Record, English Heritage, Wessex Archaeology, Archaeology Data Service
  10. 10. GSTAR – Computer Application & Quantitative Methods in Archaeology 2015 – Siena, March-April 2015 GSTAR
  11. 11. GSTAR – Computer Application & Quantitative Methods in Archaeology 2015 – Siena, March-April 2015 Producing LGD • Leverage existing ontologies: • To add place identifiers • Placenames, UIDs, Coordinates • CIDOC CRM: Place Appellation identifies Place • To add depictions • Geometries • GeoSPARQL: Feature has Geometry (asWKT, asGML) • CSV, rDBMS, shp, gdb, xml pipelines •  RDF, Turtle •  Triplestore
  12. 12. GSTAR – Computer Application & Quantitative Methods in Archaeology 2015 – Siena, March-April 2015 Using LGD • Growing number of tools, platforms • Data storage • Processing • Visualisation • Spatially enabled triple stores • eg Parliament, Oracle, etc • Web Services to handle data • Libraries for processing, conversions, parsing, mapping, etc
  13. 13. GSTAR – Computer Application & Quantitative Methods in Archaeology 2015 – Siena, March-April 2015 Using LGD – query • Query using SPARQL • Query using GeoSPARQL • Extension of SPARQL; same syntax • Compliant endpoints • Wrappers, APIs, etc • Maps!
  14. 14. GSTAR – Computer Application & Quantitative Methods in Archaeology 2015 – Siena, March-April 2015 Using LGD – results • Very flexible; many options • Not always so straightforward… • Bigger Toolbox: LD stack + FOSS webgis stack • Ontologies, Java, Jena, Joseki/Fuseki, GeoTools, Jetty, Parliament, OpenLayers, GeoServer, etc • RDF, JSON, XML, etc for use in applications • Use XSLT/HTML/CSS/PHP etc • Text, tables, images, etc • Use WFS/GML/WKT/GeoJSON etc • Web Maps
  15. 15. GSTAR – Computer Application & Quantitative Methods in Archaeology 2015 – Siena, March-April 2015 Using LGD - GSTAR • Working GeoSPARQL endpoint! • Parliament • Source data Linked Geospatial Data • Interoperating geosemantic resources • Ongoing: Building web page to house a querying/browsing/results interface • Linked Data widgets from HeritageData.org • Map based interface • Visualisations • Capture query polygon  GeoSPARQL query
  16. 16. GSTAR – Computer Application & Quantitative Methods in Archaeology 2015 – Siena, March-April 2015 CASE STUDY Colonisation of Britain
  17. 17. GSTAR – Computer Application & Quantitative Methods in Archaeology 2015 – Siena, March-April 2015 Colonisation of Britain • Digitisation project • Undertaken by Wessex Archaeology • Funded by English Heritage • Deposited with Archaeology Data Service • Linked Data component • Outputs represented as Linked Data • Uses CIDOC CRM • Now online at ADS
  18. 18. GSTAR – Computer Application & Quantitative Methods in Archaeology 2015 – Siena, March-April 2015 Colonisation of Britain - geo • Names of Places • UK administrative areas • Parish, County • Incorporates Ordnance Survey Open Data • Processed using Open Refine + OS API • Potential to extend further by adding GeoSPARQL nodes • eg to add actual Parish boundaries
  19. 19. GSTAR – Computer Application & Quantitative Methods in Archaeology 2015 – Siena, March-April 2015 ColonisationofBritainLinkedData Wessex Archaeology, Archaeology Data Service Linked Data resource built using STELLAR Toolkit including Ordnance Survey Open Data
  20. 20. GSTAR – Computer Application & Quantitative Methods in Archaeology 2015 – Siena, March-April 2015 CASE STUDY CRMEHgeo
  21. 21. GSTAR – Computer Application & Quantitative Methods in Archaeology 2015 – Siena, March-April 2015 CRMEHgeo • Integration of CRMEH + GeoSPARQL • Uses RDFS subClass & subProperty • CRMEH classes inherit from CIDOC CRM & GeoSPARQL • Basic, lightweight solution cf eg CRMgeo • But more limited in scope • Can also be applied to parent CRM classes • Integration of CIDOC CRM + GeoSPARQL
  22. 22. GSTAR – Computer Application & Quantitative Methods in Archaeology 2015 – Siena, March-April 2015 CRMEHgeo crmeh:EHE0007 Context crmeh:EHE0022 ContextDepiction crmeh:EHP4i is depicted by geo:Feature geo:hasGeometry rdfs:subClassOf rdfs:subPropertyOf sf:Polygon rdfs:isA Instance of WKT Literal geo:asWKT RDFS GeoSPARQLSimple FeaturesCRMEH crm:E53 Place crm:E44 Place Appellation crm:p87 is identified by rdfs:subPropertyOf rdfs:subClassOfrdfs:subClassOf CIDOC CRM
  23. 23. GSTAR – Computer Application & Quantitative Methods in Archaeology 2015 – Siena, March-April 2015 CRMEHgeo • Applied to source data for GSTAR • Sources  QGIS, STELLAR Toolkit  Parliament • Museum Collections • MODES  XML  RDF + WKT • Historic Environment Records • HBSMR  Esri GDB, MS Access  RDF + WKT • Commercial Archaeology Unit • Databases/GIS  Txt, MS Access, Shp  RDF + WKT
  24. 24. GSTAR – Computer Application & Quantitative Methods in Archaeology 2015 – Siena, March-April 2015 CRMEHgeo • Process designed for GSTAR • Compilation of LGD resource to answer PhD research questions • Wider applicability • Source repo  STELLAR etc  LGD repo • Entirely FOSS • Scriptable, batchable • Potential route to enable existing resources…?
  25. 25. GSTAR – Computer Application & Quantitative Methods in Archaeology 2015 – Siena, March-April 2015 CONCLUSIONS From Interoperable to Interoperating
  26. 26. GSTAR – Computer Application & Quantitative Methods in Archaeology 2015 – Siena, March-April 2015 Interoperable • Include CoB data in OS web map apps • eg Distribution plans: display artefact densities by administrative area • eg Location plans: show in resources regarding artefact types where examples have been found • Data is online, licensed & accessible • So interoperable • no tech, political barriers to interoperating…
  27. 27. GSTAR – Computer Application & Quantitative Methods in Archaeology 2015 – Siena, March-April 2015 Interoperating • GSTAR Demonstrator (in development) • Data Layer complete • Application Layers in progress • Present a range of queries relating actual use cases: • Real world research questions • Input from domain specialists • Integrate multiple sources • Inference: generation of relationships using spatial components of sources • Query via web map • Present data via web map
  28. 28. GSTAR – Computer Application & Quantitative Methods in Archaeology 2015 – Siena, March-April 2015 Interoperating • Investigating archaeological research questions • Start with questions: • eg Show me a distribution density plot for each Parish in Study Area of all object records by object type from prehistoric sites of type barrow within 500m of a higher than average density of worked flint • Express as Queries • GeoSPARQL • Visualise results, think, do • Integration of cultural heritage resources: • Object Records from Museum Collection • Site location, dating and classification from HER • Fieldwalking data from commercial contractor • User Generated input • Spatial operators • Numeric operators • Sources • Web mapping APIs, Linked Data APIs
  29. 29. GSTAR – Computer Application & Quantitative Methods in Archaeology 2015 – Siena, March-April 2015 Interoperating
  30. 30. GSTAR – Computer Application & Quantitative Methods in Archaeology 2015 – Siena, March-April 2015 Acknowledgements • Thanks to: • University of South Wales – funding, supervision, advice • Archaeology Data Service – data from their archives • Wessex Archaeology – data, photographs and images • Wiltshire Council – access to the Historic Environment Record (HER) data • Wiltshire Museums – access to museum collections data • Personal thanks • Supervisors/Advisors: Doug Tudhope, Mark Ware, Alex Lohfink • Research group: Ceri Binding, Andreas Vlachidis, Keith May • Peers and colleagues: Michael Charno, Chris Brayne, Gerald Heibel, David Dawson • Image Credit • Earthorama by spdorsey http://flic.kr/p/69C5QD
  31. 31. GSTAR – Computer Application & Quantitative Methods in Archaeology 2015 – Siena, March-April 2015 fin • paul.cripps@southwales.ac.uk • paul@archaeogeomancy.net • @pauljcripps • gstar.archaeogeomancy.net • hypermedia.research.southwales.ac.uk • gis.research.southwales.ac.uk

×