2. www.sti-innsbruck.at
LOD2 in a Nutshell
Goal: Making Linked Data the model of choice for next-
generation IT systems and applications.
Research focus:
Very large RDF data management
Enrichment & Interlinking
Fusion & Information Quality
Adaptive UI interfaces
September 2010 – October 2014: 10.2 M€
3. www.sti-innsbruck.at
LOD2 Consortium
Universität Leipzig (Germany)
Centrum Wiskunde & Informatica (Netherlands)
National University of Ireland in Galway (Ireland)
Freie Universität Berlin (Germany)
OpenLink Software (United Kingdom)
Semantic Web Company (Austria)
TenForce (Belgium)
Exalead (France)
Wolters Kluwer Deutschland (Germany)
Open Knowledge Foundation (United Kingdom)
Institute Mihajlo Pupin (Serbia)
KAIST (Korea)
Zemanta d.o.o. (Canada)
Instytut Informatyki Gospodarczej (Poland)
University of Economics (Czech Republic)
4. www.sti-innsbruck.at
LOD2 – Use Cases
Media
& Publishing
The media
use case aims
to improve
access to
high-quality,
machine-
readable data
sets
generated by
Enterprise
Data Web
•Procedures
for data input
that integrate
semantic
features and
annotations
early in the
ingestion
process of
Citizen –
publicdata.eu
Increase public
access to high-
value, machine-
readable data
sets generated
by the
European,
national as well
as regional
governments
5. www.sti-innsbruck.at
LOD2 Technology stack
Integrated distribution of aligned tools which support the
life-cycle of Linked (Open) Data
Extraction, authoring/creation over enrichment, interlinking,
fusing, visualization and maintenance
The stack comprises tools from the LOD2 partners and
third parties
7. www.sti-innsbruck.at
LOD2 Technology stack
• D2R Server: publishing the content of relational databases on the
Semantic Web
• MonetDB: high-performance database system that allows to store
relational, XML and RDF data
• Triplify: “semantification” of Web applications by making database
content available as RDF, JSON or Linked Data
• OpenLink Virtuoso: Data Management & Integration (SQL, XML and
EII), Application Integration (Web Services & SOA), Process
Management & Integration (BPEL), Distributed Collaborative
Applications
8. www.sti-innsbruck.at
LOD2 Technology stack
• OntoWiki: facilitates the visual presentation of a knowledge base as an
information map
• DBpedia Extraction: extracts structured information from Wikipedia
and to make this information available on the Web
• DL-Learner: supervised Machine Learning in OWL and Description
Logics. It can be used to learn classes in OWL ontologies from selected
objects
• SemMF: calculating semantic similarity between objects that are
represented as arbitrary RDF graphs
• Silk Framework: generating RDF links between data items within
different data sources
9. www.sti-innsbruck.at
LOD2 Technology stack
• PoolParty: thesaurus management system, associating concepts to
unstructured data
• Sig.ma: Web of Data browser, embeddable widget, semantic API
• Comprehensive Knowledge Archive Network (CKAN): registry
system for datasets or other knowledge resources
• Sindice: process, consolidate and query the Web of Data
• Sparallax: faceted browsing interface for SPARQL endpoints, based on
Freebase Parallax
• WIQA: quality assessment policies to filter information from the Web
10. www.sti-innsbruck.at
LOD2 Technology stack
Intermediate LOD2 stack release March 2012:
• LIMES: link discovery framework for the Web of Data
• Valliant: XML to RDF document processing tool
• Spatial Semantic Browser : widget for geospatial RDF data
Enabling large-scale interoperability based on Linked Data is a necessary precondition in the media industry to profit from the benefits of distributed information sources on the Semantic Web.
(income, costs, efficiency, etc)
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MonetDB:run-time query optimization framework which provides a unique environment to crack the recursive-correlated-self-join queries caused by semantic web queries to triple stores
SEMF:The framework allows taxonomic and non-taxonomic concept matching techniques to be applied to selected object properties
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