1. Uncontrolled copy when printed
21/09/2018
This slide may be shown at the beginning of the presentation.
21 September 2018
© Crown copyright 2017 Dstl
© Crown copyright 2012 Dstl

2. Linking Geospatial Data to Heritage Research
Applications of geosemantics for heritage research and beyond
Paul Cripps
Intelligence Management Team, Intelligence Systems & Analytics Group, Cyber & Information Systems Division, Dstl
Hypermedia Research Group, University of South Wales
Geographic Information Systems Research Group, University of South Wales
Archaeological Computing Research Group, University of Southampton
Official
21 September 2018
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3. Cultural Heritage Domain: focus
Uncontrolled copy when printed
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Cultural Heritage Domain: focus
Domain Ontologies, vocabularies plus GeoSPARQL
Semantics of Space-Time
Egenhofer, RCC8, OGC Simple Feature Relations
Allen’s Temporal Operators
Qualitative vs Quantitative
Non-geometric relations
Fuzziness, uncertainty
Multivocality & Provenance
Inference & Reasoning
Change & Propagation
Fusion of geospatial with semantic
Incorporation of geospatial standards eg Simple Features
Addition of semantic structures & technologies eg RDFs, OWL
Leveraging web technologies eg REST, JSON
Qualitative Reasoning about space using relationships
Black Mountains are in Wales
Work with Places without dependency on geometries
In the Black Mountains vs not in the Black Mountains
Official
21 September 2018
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4. Uncontrolled copy when printed
21/09/2018
Research Ecosystems
LGD Framework
Shared resources
Building Blocks
Interfaces
Maps
Timelines
Graphs & Networks
Services & Systems
GSTAR
Demonstrators
Geosemantics
(GeoSPARQL)
Semantics
(Ontologies)
Vocabularies
(SKOS)
Rules & Validation
(SPIN/SWRL/SHACL)
Typologies
(SKOS)
Stone Circle
Wiltshire
Places
(OS LoD)
Periods
Bronze Age
Materials (SKOS)
Sarsen
Events
(OWL/RDFS)
Construction
People
(FOAF)
King Arthur Pendragon
Map Depictions
(GeoSPARQL)
Geometries (WKT/GML)
Nesting of ontologies
GeoSPARQL designed to be bolted on to Domain Ontologies
Re-use of robust constructs
Interoperability
Semantic Clarity
Collaborative infrastructure
Specialist groups maintain their own ontologies/systems; does not matter.
Data described using Ontologies
Publish as Linked Data
Official
21 September 2018
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5. Uncontrolled copy when printed
21/09/2018
External APIs: Vocabularies
AJAX
Clients:
QGIS
Demonstrator App (OpenLayers, Bootstrap, AJAX)
HTTP URL
Web Services
RESTful API: Jackson, Jersey, GeoTools
GeoJSON
GeoSPARQL
JSON
Triple Store: Parliament
NLP
String
Template
QGIS
Ontology
RDF
WKT
Heterogenous source material
Ingest + Processing Pipeline
Rest API for URL based access
Supports range of clients via Open Standards
Semantic Mediation of query terms via ontologies
eg broader/narrower
eg competing standards via skos mappings
Users:
Query across resources
Strong (geo)semantics
Exploration, visualisation
Maps!
Sources
Access
Excel
XML
Shp
gdb
csv
Official
21 September 2018
© Crown copyright 2017 Dstl
© Crown copyright 2013 Dstl

6. Knowledge Transfer Analogous processes
From observations to knowledge
Spatio-temporal core
GEOINT, HUMINT, OSINT
Activity Based Intelligence (ABI)
Structured Observation Management (SOM)
Object Based Production (OBP)
Cathy Johnston, Director, Defense Intelligence Agency, 2013
Official
21 September 2018
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7. gstar.archaeogeomancy.net pcripps@dstl.gov.uk
Thankyou!
gstar.archaeogeomancy.net
Official
21 September 2018
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8. Uncontrolled copy when printed
21/09/2018
This slide may be shown at the end of the presentation.
21 September 2018
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9. (Geo)Ontologies: Building Blocks
Uncontrolled copy when printed
21/09/2018
(Geo)Ontologies: Building Blocks
Geo
Named Places
Depictions
Associated
People
Events/Activities
Things/Stuff
Descriptors/Metrics
Relationships (Properties)
Rules (Inference)
Geosemantics
(GeoSPARQL)
Semantics
(Domain: OWL/RDFs)
Vocabularies
(SKOS)
Rules & Validation
(SPIN/SWRL/SHACL)
Typologies
(SKOS)
Stone Circle
Wiltshire
Places
(OS LoD)
Periods
Bronze Age
Materials (SKOS)
Sarsen
Events
(OWL/RDFS)
Construction
People
(FOAF)
King Arthur Pendragon
Map Depictions
(GeoSPARQL)
Geometries (WKT/GML)
Nesting of ontologies
GeoSPARQL designed to be bolted on to Domain Ontologies
Re-use of robust constructs
Interoperability
Semantic Clarity
Collaborative infrastructure
Specialist groups maintain their own ontologies/systems; does not matter.
Data described using Ontologies
Publish as Linked Data
Official
21 September 2018
© Crown copyright 2017 Dstl
© Crown copyright 2013 Dstl