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Dr. Jose María Alvarez RodríguezSEERC, Thessaloniki18-02-2013
(official bulletin of theAsturian Governement)
   Problem statement   Justification   Main Objective   Specific Objectives   …
 17% of GDP              TED Action Plan 2004 and    RAMON  2020                    Projects                         ...
Source: European Union
    
 Common & shared data model    Different Domains   RDF                           Geography Logic formalism           ...
1. Use URIs to name things2. When someone looks up a URI,   provide useful information,   using the standards (RDF*,   PAR...
1. Data Must Be Complete.2. . . . Primary.3. . . . Timely.4. . . . Accessible.5. . . . Machine processable.6. Access Must ...
Linked Open Data          203 datasets ( 25 Billions of rdf triples) and          395 millions of links (Sept. 2010).   ...
Jose Labra                   Chris Bizer                                                        Anja Jentzsch             ...
TED                  1   Produce                                                       3        Consume  …                ...
http://purl.org/weso/moldeas/ (it is now being updated)
vs
Criteria (Level of compliance) in PPNs                              Yes    No   N/A   23                                  ...
Criteria (Level of compliance) in PSCs                           Yes   No    N/A   23                                     ...
Criteria (Level of compliance) in Organizations                             Yes   No   N/A23                              ...
150001400013000120001100010000 9000 8000 7000 6000 5000 4000 3000 2000 1000    0         CPV 2003 CN 2012 CPC 2008 CPA 200...
Evolution of #Links and elements         40357         35357         30357         25357         20357         15357      ...
70,00                  60,00                  50,00    Time (sec.)                  40,00                                 ...
* Conclusions in depth are available in the full presentation.
Questions     Thank you for     your attention!
Credits•    –    –    –•    –•    –    –•    –
MOLDEAS-PhD Summary
MOLDEAS-PhD Summary
MOLDEAS-PhD Summary
MOLDEAS-PhD Summary
MOLDEAS-PhD Summary
MOLDEAS-PhD Summary
MOLDEAS-PhD Summary
MOLDEAS-PhD Summary
MOLDEAS-PhD Summary
MOLDEAS-PhD Summary
MOLDEAS-PhD Summary
MOLDEAS-PhD Summary
MOLDEAS-PhD Summary
MOLDEAS-PhD Summary
MOLDEAS-PhD Summary
MOLDEAS-PhD Summary
MOLDEAS-PhD Summary
MOLDEAS-PhD Summary
MOLDEAS-PhD Summary
MOLDEAS-PhD Summary
MOLDEAS-PhD Summary
MOLDEAS-PhD Summary
MOLDEAS-PhD Summary
MOLDEAS-PhD Summary
MOLDEAS-PhD Summary
MOLDEAS-PhD Summary
MOLDEAS-PhD Summary
MOLDEAS-PhD Summary
MOLDEAS-PhD Summary
MOLDEAS-PhD Summary
MOLDEAS-PhD Summary
MOLDEAS-PhD Summary
MOLDEAS-PhD Summary
MOLDEAS-PhD Summary
MOLDEAS-PhD Summary
MOLDEAS-PhD Summary
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MOLDEAS-PhD Summary

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Brief presentation of the MOLDEAS project as part of my PhD.

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Transcript of "MOLDEAS-PhD Summary"

  1. 1. Dr. Jose María Alvarez RodríguezSEERC, Thessaloniki18-02-2013
  2. 2. (official bulletin of theAsturian Governement)
  3. 3.  Problem statement Justification Main Objective Specific Objectives …
  4. 4.  17% of GDP  TED Action Plan 2004 and  RAMON 2020  Projects  E-Certis  Legal framework  Fiscalis 2013 16K notices/day  E-Prior Boost SMEs  PEPPOL participation  STORK…  …
  5. 5. Source: European Union
  6. 6.  
  7. 7.  Common & shared data model  Different Domains  RDF  Geography Logic formalism  E-Commerce  Reasoning  Medicine Knowledge-management  Bibliography  Expert systems  E-Government Standards  …  Query languages  Next …Web 3.0?  Vocabularies  Datasets  …
  8. 8. 1. Use URIs to name things2. When someone looks up a URI, provide useful information, using the standards (RDF*, PARQL).3. Include links to other URIs.4. Use HTTP URIs.
  9. 9. 1. Data Must Be Complete.2. . . . Primary.3. . . . Timely.4. . . . Accessible.5. . . . Machine processable.6. Access Must Be Non-Discriminatory.7. Data Formats Must Be Non-Proprietary.8. Data Must Be License-free.
  10. 10. Linked Open Data  203 datasets ( 25 Billions of rdf triples) and  395 millions of links (Sept. 2010).  Domains: Media, Geographic, Government (42,09 %),  Publications, Cross-domain, Life sciences, etc. (Ago. 2011).  393 datasets (Jun. 2012).http://richard.cyganiak.de/2007/10/lod/
  11. 11. Jose Labra Chris Bizer Anja Jentzsch Michael Hausenblas Richard Cyganiak Sören Auer Jenni Tennison Christophe Gueret Óscar Corcho Frank van Harmelen Wikier Axel Polleres Aidan Hogan Juan Miguel Peter Mikahttps://ec.europa.eu/digital-agenda/ Gomez G. Tummarello Irene Celinohttp://ec.europa.eu/research/horizon2020/index_en.cfm
  12. 12. TED 1 Produce 3 Consume … XML RDFizing Semantic Services (e.g. Searching, Methods Matchmaking & BOE Prediction)BOPAOrganizations Linked Data 2 Api Pubby+Snorql CPV RDFizing PublishNUTSEurovoc 4 Validate
  13. 13. http://purl.org/weso/moldeas/ (it is now being updated)
  14. 14. vs
  15. 15. Criteria (Level of compliance) in PPNs Yes No N/A 23 70 65 152 152 154 10 157 34 173 121 9 92 12 12 14 32 35 30 25Reference TED CODICE BOE External LOTED MOLDEAS Services
  16. 16. Criteria (Level of compliance) in PSCs Yes No N/A 23 33 10 159 152 173 153 12 21 25 21Reference CSV/Excel External Services MOLDEAS
  17. 17. Criteria (Level of compliance) in Organizations Yes No N/A23 78 65 151 10 167 156 172 175 33173 121 10 85 9 20 1 9 35 23 20 20 12
  18. 18. 150001400013000120001100010000 9000 8000 7000 6000 5000 4000 3000 2000 1000 0 CPV 2003 CN 2012 CPC 2008 CPA 2008 ISIC V4 NAICS NAICS SITC V4 2007 2012 #Terms #Links to CPV 2008 #Links through PO 150 140 130 120 110 100 90 80 70 60 50 40 30 20 10 0 CPV 2003 CN 2012 CPC 2008 CPA 2008 ISIC V4 NAICS 2007 NAICS 2012 SITC V4 Real gain Real gain through PO Max gain
  19. 19. Evolution of #Links and elements 40357 35357 30357 25357 20357 15357 10357 CPV CPV CPC CPA NAICS NAICS CN 2012 ISIC V4 SITC V4 2008 2003 2008 2008 2007 2012#Links to CPV 2008 10357 10819 13209 17611 23010 23775 26075 28261 32072#Links through PO 10357 18669 21059 25462 30872 31637 33937 36123 39943
  20. 20. 70,00 60,00 50,00 Time (sec.) 40,00 3,00 30,00 Time (sec.) 2,00 20,00 1,00 10,00 0,00 0,00 T3 T4 T5 T6-1 T6-2 T7-1 T7-2 T8-1 T8-2 T9-1 T9-2 T10-1 T10-2 T1 T2 Test Test 100 90 80 70% Gain wrt T3 60 50 40 30 20 10 0 -10 -20 -30 -40 -50 -60 -70 -80 T4 T5 T6-1 T6-2 T7-1 T7-2 T8-1 T8-2 T9-1 T9-2 T10-1 T10-2 Test
  21. 21. * Conclusions in depth are available in the full presentation.
  22. 22. Questions Thank you for your attention!
  23. 23. Credits• – – –• –• – –• –
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