LOD2 plenary meeting in Paris: presentation of WP5: State of Play: Linked Data Visualization, Browsing and Authoring, by Renaud Delbru (National University of Ireland, Galway).
LOD2: State of Play WP5 - Linked Data Visualization, Browsing and Authoring
1. Creating Knowledge out of Interlinked Data
WP5 - Linked Data Visualization, Browsing
and Authoring
Renaud Delbru,
National University of Ireland, Galway
Paris, 23 March 2011
http://lod2.eu
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2. Creating Knowledge out of Interlinked Data
WP 5: Linked Data Visualization, Browsing and Authoring
Goal
WP5 aims to build on and go beyond existing approaches for realizing
adaptive Web user interfaces.
Partners
ULEI - UNIVERSITAET LEIPZIG
CWI - STICHTING CENTRUM VOOR WISKUNDE EN INFORMATICA
NUIG - NATIONAL UNIVERSITY OF IRELAND, GALWAY
FUB - FREIE UNIVERSITAET BERLIN
SWC - SEMANTIC WEB COMPANY GMBH
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3. Creating Knowledge out of Interlinked Data
WP 5: Linked Data Visualization, Browsing and Authoring
Tasks
Task 5.1 – Faceted Spatial-Semantic Browsing
NUIG, ULEI, FUB, CWI, SWC
Task 5.2 – Adaptive Semantic Authoring
ULEI
Task 5.3 – Social Semantic Networking
SWC
Task 5.4 – Mobile Semantic Interfaces
NUIG
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4. Creating Knowledge out of Interlinked Data
WP 5: Linked Data Visualization, Browsing and Authoring
The promise of the LOD data integration is fulfilled when data
integration is dynamic
visualization is needed to support this
For this to happen we envision different visualization tools:
1. Tools to search, browse and inspect datasets
2. LOD powered widgets
• To enhance web sites
• To support vertical search interfaces
3. Sig.ma Enterprise Edition (Sig.ma EE)
4. Faceted Spatial Browsing
5. Semantic Authoring
6. PoolParty UI – Alternative Wiki UIs
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5. Creating Knowledge out of Interlinked Data
WP 5: Tools to search and browse datasets
• Finding datasets which are interesting for several aspects:
• powering a LOD application
• enhancing an existing dataset
• validating an existing dataset
• The tools will support
• hundreds of thousands of datasets
• text search and faceted browsing (content, tags and metadata)
• social features (dataset annotation, promotion, etc.)
• recommendations based on the user context e.g. an existing
dataset or a manually listed set of entities
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6. Creating Knowledge out of Interlinked Data
WP 5: Tools to search and browse datasets
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7. Creating Knowledge out of Interlinked Data
WP 5: Tools to inspect LOD datasets
• Explore the structure and overall composition of a dataset
• Interactive visualization tools
• Advanced triple visualization
• Zoom-able graph representation
• Entity-centric representation
• Others, possibly triggered by the data itself
• Statistics about data
• Statistics about datasets (e.g., triple counts, classes, ontologies)
• Statistics about links (e.g., histograms, inter-links)
• Statistics regarding entity disambiguation (e.g., sameAs, IFP)
• These tools address both the Entity, Document and Dataset level
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8. Creating Knowledge out of Interlinked Data
WP 5: Tools to inspect LOD datasets
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9. Creating Knowledge out of Interlinked Data
WP 5: Tools to inspect LOD datasets
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10. Creating Knowledge out of Interlinked Data
WP 5: LOD powered widgets
• A platform to create flexible interactive widgets that can be easily
embedded and integrated in any web based application
• A workflow will guide the domain expert through
1. selection of the datasets
2. creation of the query and
3. customization of its layout (quality default layouts will be
provided)
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11. Creating Knowledge out of Interlinked Data
WP 5: LOD powered enhancement widgets
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12. Creating Knowledge out of Interlinked Data
WP 5: LOD powered vertical search widgets
Mockup
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13. Creating Knowledge out of Interlinked Data
WP 5: LOD powered widget composer
Mockup
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14. Creating Knowledge out of Interlinked Data
WP 5: Sig.Ma Enterprise Edition
• Sig.Ma Enterprise Edition (Sig.Ma EE) is an evolution of Sig.Ma
which is targeted at LOD and Enterprise LOD clouds
• Sig.Ma EE:
• Can be deployed in house (as a servlet!) not dependent on
Sindice
• Is able to restrict which LOD datasets one can use
• Is able to query and integrate specific and heterogeneous data
sources thanks to a flexible adapters and plugins model
• can be customized (uncertainty thresholds for fuzzy
consolidation)
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15. Creating Knowledge out of Interlinked Data
WP 5: What The DoW Says on CWI
• M18 - D5.1.2
• “Initial geo-benchmark definition: Based on the capabilities and
envisioned features of the spatial-semantic browsing
component, CWI will select a data set (e.g. OpenStreetMap)
and formulate a representative set of queries that could be
generated by the spatial-semantic browsing component. “
• M36 - D5.1.4
• “CWI and Openlink will measure/ demonstrate the effectiveness
of the MonetDB and Virtuoso RDF data management solutions
for large-scale spatial-semantic query answering, as generated
by the spatial-semantic browsing component.”
• CWI has 6 out of 75 man-months in WP5 (8%)
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16. Creating Knowledge out of Interlinked Data
WP 5: Geo Benchmarking
• Database benchmarking is a core task in the scalable data
management work-package (WP2) that CWI leads
• Goals of Benchmarking:
• stimulate technical progress in the field
• involve outside third parties (e.g. engine vendors)
• binding factor among LOD2 participants:
• FUB – BSBM
• ULEI - DBpedia benchmark
• CWI & OGL – RDF-H Social Intelligence Benchmark (SIB)
• LOD2 initiative: benchmark auditing service
• LOD2 academic partner audits benchmark runs
• allow vendors to submit properly tuned benchmark results
• stringent check for fairness, providing credibility
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17. Creating Knowledge out of Interlinked Data
WP 5: Geo Benchmarking
• Steps D5.1.2:
• looking at past (non-LOD) geographical benchmarks
• spatial-only or spatio-temporal ?
• learn about the use cases for spatial LOD
• identifying representative datasets
• identifying representative query workloads
• identifying stakeholders in spatial LOD
• choosing/formulating a benchmark
• Steps D5.1.4:
• identifying engines that can run it, motivating to submit
• evaluating the benchmark on Virtuoso and MonetDB
• perform optimizations
• extend the LOD benchmark auditing service to spatial RDF
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18. Creating Knowledge out of Interlinked Data
WP 5: Task 5.1 – Faceted Spatial-Semantic Browsing (ULEI)
• Map display enriched with
faceted browsing interface
• Result view w/ RDFa
templates
• 2 implementations:
• Linked Geodata
Extension
• OntoWiki Extension
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19. Creating Knowledge out of Interlinked Data
WP 5: Task 5.2 – Semantic authoring widgets (ULEI)
• RDFa + SPARQL/Update
based authoring widgets
• Spatial authoring widgets
(lon/lat selection,
automatic geocoding)
• Widget choreography
• Meta widgets
containing defined
sets of sub-widgets
for certain KB schema
types
• Overridable system
decisions
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25. Creating Knowledge out of Interlinked Data
WP 5: Conclusions
WP 5 has just started and:
• Ambitious goals (e.g., to serve the whole LOD community
via general tools)
• Has already many ongoing subprojects
• But also on demand development
• Is here to listen to your needs so speak up!
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26. Creating Knowledge out of Interlinked Data
WP 9: Irish Government Data (DERI Contribution)
• Set up http://ie.ckan.net/
with OKF support
• Together with Central
Statistics Office and
Department of
Education
• Showcase/applications
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