This document summarizes semantic web research being conducted in Russia. The research aims to create linked open data sets in science fields like nano and math and integrate them with existing linked open data on the internet. It also aims to develop technologies for automatically generating and replicating linked open data sets from original source documents. The research addresses challenges like data extraction, linking and fusing data, data storage and querying, and data quality analysis. Examples of research applications include generating RDF data from documents and storing it in RDF stores for querying. The research is conducted through a collaboration between the Dorodnicyn Computing Centre of RAS and the Semantic Technology Centre at HSE.

1. Semantic WEB research in Data Centre
of RAS: Duet of Dorodnicyn Computing
Centre of RAS and Semantic Technology
Centre at HSE
@ MyFIRE – 27 June 2012
Daniel Hladky
National Research University - Higher School of Economics (NRU HSE)
Semantic Technology Centre - W3C Russia Office hosted by NRU HSE
E: dhladky@w3c.org.ru

2. Outline
• Semantic Data Web Research in RU
– Background and Objectives
• Use Case
– WISYWYM, LOD Russia/Nano
• Concluding remarks
– Challenge
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3. Background and Objectives
LOD sets published on the Internet
• Create LOD sets in science (nano, math),
and integrate/link them into LOD
• Develop a technology for the generation
and further replication of LOD sets
• Develop a use case
Internet
Nano
Automated System
Math
DB
Documents
LOD sets with scientific and
Original sources technical data
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Devices Users

4. Research Challenges
Inter-
linking/
Fusing
Manual Classifi-
revision/ cation/
authoring Enrichment
Storage/
Linked Data Quality
Querying Lifecycle Analysis
Challenges
Evolution /
Extraction Repair
Search/
Browsing/
Exploration
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5. Research illustrated
Store / Query
Fusion XML/OWL/N3
RDF store
Company Location
City Country
Bus.Object SAP
Walldorf Germany
H. Kagermann
Person
Linking
Hybrid NLP
(Extraction)
Search/Browse
Explore
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6. Hardware Infrastructure RAS
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7. Validation by Use Case
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8. WYSIWYG to WYSIWYM
Paper at Telematika2012
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9. Faceted Browsing
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10. Better Decisions (Big Data Analytics)
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11. Concluding remarks
• Research Challenges EU-RU (IP, STREP)
– Linked Data Lifecycle Management
– Vocabulary (ontology) alignment, multilingual thesauri
– Big Data Processing/Analytics, scalability
– Hybrid NE&R (NLP)
• Data Web Economy (IP, STREPS)
– Apps4Russia, eCitizen Services
– Catalogs and Framework Tools
– Integration of Social Networks (SN), Internet of Things
• Mindset (Support Action Project)
– Open Data vs Linked Open Data
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12. Thank You
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