1 / 30

Zdenek Zdrahal Knowledge Media institute The Open University 26 October 2012

From Bletchley to CORE New Challenges in Open Access. Zdenek Zdrahal Knowledge Media institute The Open University 26 October 2012. Open Access Resources. OA inferred knowledge. Green OA papers. OA research data. S ervices. Gold OA. A few examples of new tasks. Melvin Webber.

lidia
Download Presentation

Zdenek Zdrahal Knowledge Media institute The Open University 26 October 2012

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript


  1. From Bletchley to CORE New Challenges in Open Access Zdenek Zdrahal Knowledge Media institute The Open University 26 October 2012

  2. Open Access Resources OA inferred knowledge Green OA papers OA research data Services Gold OA

  3. A few examples of new tasks

  4. Melvin Webber Herbert Simon Alan Turing Dilemmas in a General Theory of Planning Rittel & Webber (1973) …wicked and tame problems The Structure of Ill Structured Problems H.Simon (1973) … well and ill structured problems, GPS On Computable Numbers … A.Turing (1935) … algorithms Turing machine

  5. Melvin Webber Herbert Simon Alan Turing Dilemmas in a General Theory of Planning Rittel & Webber (1973) …wicked and tame problems The Structure of Ill Structured Problems H.Simon (1973) … well and ill structured problems, GPS On Computable Numbers … A.Turing (1935) … algorithms Turing machine

  6. Melvin Webber Herbert Simon Alan Turing Dilemmas in a General Theory of Planning Rittel & Webber (1973) …wicked and tame problems The Structure of Ill Structured Problems H.Simon (1973) … well and ill structured problems, GPS On Computable Numbers … A.Turing (1935) … algorithms Turing machine

  7. Melvin Webber Herbert Simon Alan Turing Dilemmas in a General Theory of Planning Rittel & Webber (1973) …wicked and tame problems The Structure of Ill Structured Problems H.Simon (1973) … well and ill structured problems, GPS On Computable Numbers … A.Turing (1935) … algorithms Turing machine

  8. Melvin Webber Herbert Simon Alan Turing Dilemmas in a General Theory of Planning Rittel & Webber (1973) …wicked and tame problems The Structure of Ill Structured Problems H.Simon (1973) … well and ill structured problems, GPS On Computable Numbers … A.Turing (1935) … algorithms Turing machine

  9. Citations The Structure of Ill Structured Problems H.Simon (1973) … well and ill structured problems, GPS On Computable Numbers … A.Turing (1935) … algorithms Turing machine Dilemmas in a General Theory of Planning Rittel & Webber (1973) …wicked and tame problems ?

  10. for UNESCO Conferences http://unescore-clic.org/

  11. Paper Assumptions Reasoning Conclusions 1

  12. Paper 2 Paper 1 Assumptions 1 Assumptions 2 Reasoning 2 Reasoning 1 Conclusions 1

  13. Paper 2 Paper 1 Assumptions 1 Reasoning 2 Reasoning 1 Conclusions 21 Conclusions 1 1

  14. Brief Genesis of CORE Bletchley Park Text Eurogene The CORE Family CORE ServiceCORE DiggiCORE

  15. Bletchley Park Text (2003) Story 1 Story 2 Story 3 Story 4 Story 5 Enigma Colossus Bombe Hut 6 A.Turing object people object object place

  16. Sequencing concepts and resources Measuring mutual information between two concepts. Colossus MK-2 Giant Bombe BTM Works Hut 6 Newmanry BTM-Works → Giant-Bombe I = 8.589 [bit] Giant-Bombe → Hut-6 I = 3.065 [bit] Hut-6 - NewmanryI = 0.895 [bit] Newmanry - Colossus -MK-II I = 5.419 [bit] What does it mean?

  17. http://www.bletchleypark.org.uk/text/ … available since 2005

  18. Eurogene (2005) • Sharing OA educational resources in human genetics • Multilingual (10 languages), automatically annotated by domain specific ontology (… controlled vocabulary) • Machine translation of text • Academic levels • Multimedia • Learning packages • Available online since 2008 http://eurogene.open.ac.uk

  19. The CORE Family • Basic CORE infrastructure developed, harvested 60 repositories, full text similarity • ServiceCORE … 271 OAR (all 142 UK) harvested, metadata + full text, semantic similarity, deduplication, mobile apps, 9M metadata, 500k full text, API, 100M LOD triples, SPARQL, plugin, repository analytics| • DiggiCORE … networks: citations of papers, citations of authors, semantic similarity of papers … infrastructure

  20. CORE visits (October 2012) More than 6000 visits per day … but this is just the start!

  21. OAR Challenges Standard Aggregation of OA resources Integration textual resources withOA research data Provide intelligent search for papers and research Support OA repositories Advanced Provide computer access to OA resources across repositories Enable mining and sharing of inferential knowledge from OA resources across repositories Support the development of new services that use the existing and inferential knowledge

  22. OAR Challenges Novel case studies Develop selected services based oncitations networks, subject classification, author/co-author/citation networks. Develop novel methods for measuring impact of publications and authors Develop methods for measuring cross-fertilization between different domains based on the above. Develop methods for evaluating trends in scientific disciplines.

  23. Thank you!

  24. back to Melvin Webber

  25. back to Herbert Simon

  26. A. TURING "On Computable Numbers, with an Application to the Entscheidungs Problem."This is a bizarre paper. It begins by defining a computing device absolutely unlike anything I have seen, then proceeds to show—I haven't quite followed the needlessly complicated formalism—that there are numbers that it can't compute. As I see it, there are two alternatives that apply to any machine that will ever be built: Either these numbers are too big to be represented in the machine, in which case the conclusion is obvious, or they are not; in that case, a machine that can't compute them is simply broken!
Any tabulating machine worth its rent can compute all the values in the range it represents, and any number computable by a function—that is, by applying the four operations a number of times—can be computed by any modern tabulating machine since these machines—unlike the one proposed here with its bizarre mechanism——have the four operations hardwired. It seems that the "improvement" proposed by Turing is not an improvement over current technology at all, and I strongly suspect the machine is too simple to be of any use.
If the article is accepted, Turing should remember that the language of this journal is English and change the title accordingly. back to Alan Turing

More Related