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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/ Practical examples of producing and using Linked Geospatial Data (LGD) Douglas Tudhope University of South Wales, Trefforest, UK Hypermedia Research Group
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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/

Practical examples of producing and using Linked Geospatial Data (LGD)

Douglas Tudhope

University of South Wales, Trefforest, UK

• Hypermedia Research Group

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

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

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

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

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

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

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

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

GSTAR – Computer Application & Quantitative Methods in Archaeology 2015 – Siena, March-April 2015

GSTAR

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

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

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!

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 webgisstack • 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

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

GSTAR – Computer Application & Quantitative Methods in Archaeology 2015 – Siena, March-April 2015

CASE STUDY

Colonisation of Britain

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

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

GSTAR – Computer Application & Quantitative Methods in Archaeology 2015 – Siena, March-April 2015

Colonisation of Britain Linked DataWessex Archaeology, Archaeology Data Service

Linked Data resource built using STELLAR Toolkit including Ordnance Survey Open Data

GSTAR – Computer Application & Quantitative Methods in Archaeology 2015 – Siena, March-April 2015

CASE STUDY

CRMEHgeo

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

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 Features CRMEH

crm:E53 Place crm:E44 Place

Appellation crm:p87 is

identified by

rdfs:subPropertyOf rdfs:subClassOfrdfs:subClassOf

CIDOC CRM

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

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…?

GSTAR – Computer Application & Quantitative Methods in Archaeology 2015 – Siena, March-April 2015

CONCLUSIONS

From Interoperable to Interoperating

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…

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

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 fromprehistoric 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

GSTAR – Computer Application & Quantitative Methods in Archaeology 2015 – Siena, March-April 2015

Interoperating

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

GSTAR – Computer Application & Quantitative Methods in Archaeology 2015 – Siena, March-April 2015

fin

[email protected]

[email protected]

• @pauljcripps

• gstar.archaeogeomancy.net

• hypermedia.research.southwales.ac.uk

• gis.research.southwales.ac.uk


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