1. School of Electronics and Computer Science Knowledge Repositories: The Next 10 Years Professor Nigel Shadbolt

2. Drivers for Change The Open Access debate and the Open Archive Initiative Moores Law The Semantic Web The Nature of Research Publications

3. Drivers for Change The Open Access debate and the Open Archive Initiative Moores Law The Semantic Web The Nature of Research Publications

4. Faster and Smaller Devices are getting smaller and faster all the time Moores Law has held for 40 years This leads to orders of magnitude Increase in power Increase in memory Decrease in size Decrease in cost Constant migration and obsolescence Our processors will have very limited shelf life Our storage does too Our physics does too

5. Drivers for Change The Open Access debate and the Open Archive Initiative Moores Law The Semantic Web The Nature of Research Publications

6. Making the Web Semantic…

7. Via meta content… This is a type of object event and this is its title This is the URL of the web page for the event This is a type of object photograph and the photograph is of Tim Berners-Lee Tim Berners-Lee is an invited speaker at the event That is machine readable….

8. Can Annotate Anything Publications… Databases… Metadata on scientific structures Web data set (XHTML)

9. The SW Community: Structured Spaces Linkage of heterogeneous information web content databases meta-data repository multimedia Via ontologies as information mediation structures Using Semantic Web languages Oncogene(MYC): Found_In_Organism(Human). Gene_Has_Function(Transcriptional_Regulation). Gene_Has_Function(Gene_Transcription). In_Chromosomal_Location(8q24). Gene_Associated_With_Disease(Burkitts_Lymphoma). NCI Cancer Ontology (OWL) bcr-2-1-059 BioMedCentral Metadata (XML) Web data set (XHTML) Vocabulary (RDFS)

10. Ontologies: Fundamental Building Blocks of the Semantic Web

11. The Ontology A shared conceptualisation of a domain Provides the semantic backbone Lightweight and is deployed using a W3C recommended standard language

12. Genetics: Gene Ontology One of the earliest examples of the benefits of ontologies Integration and interoperability were big wins Specific tool support Considerable resources invested and continuing in maintenance Spawned more generic biological ontology efforts

13. Standards are fundamental HTMLXML + Name Space + XML Schema Topic MapsSMIL RDF(S) XOL OWL RDF UnicodeURI

14. Advanced Knowledge Technologies IRC AKT started Sept 00, 6 years, £8.8 Meg, EPSRC www.aktors.org Around 65 investigators and research staff

15. Infrastructures and Components Built core infrastructures Constructed component technologies that cover the knowledge life cycle in a number of applications

16. Exemplar Technology: ClassAKT

17. Semantic Spaces: Integrating Knowledge Technologies

18. The CS AKTive Space: International Semantic Web Challenge Winner 24/7 update of content Content continually harvested and acquired against community agreed ontology Easy access to information gestalts - who, what, where Hot spots Institutions Individuals Topics Impact of research citation services etc funding levels Changes and deltas Dynamic Communities of Practice…

19. Components of a Solution Information sets Ontology to mediate information sets Semantic Storage Capability Query Capability on Storage Network and graph analysis tools Browsing and Visualisation tools

20. CS AKTiveSpace

21. Extending the model

22. EPSRC: Knowing what they know data sources gatherers and mediators ontologyknowledge repository (triplestore) applications

23. Visualising Interaction

24. Visualising Interaction: Programmes

25. Drivers for Change The Open Access debate and the Open Archive Initiative Moores Law The Semantic Web The Nature of Research and Publication Knowledge Mapping

26. New ways of discovery: e-Science A large part of scientific discovery is now a joint human machine endeavour Without considerable compute power no hope of progress Examples from physics, astronomy, biology, chemistry and engineering

27. The Comb-e- Chem Vision Structures DB Properties DB Structure + PropertiesKnowledge + Prediction Automation & Remote interaction Co-Laboratory Interaction between users & Dark Labs Simulation and calculation

28. Grid E-Scientists Entire E-Science Cycle Encompassing experimentation, analysis, publication, research, learning 5 Institutional Archive Local Web Publisher Holdings Digital Library E-Scientists Graduate Students Undergraduate Students Virtual Learning Environment E-Experimentation E-Scientists Technical Reports Reprints Peer- Reviewed Journal & Conference Papers Preprints & Metadata Certified Experimental Results & Analyses Data, Metadata & Ontologies

29. Combichem Combechem The need for xtl-Prints DATAPUBLICATION DISSEMINATION

30. Structural Eprints

31. Drivers for Change The Open Access debate and the Open Archive Initiative Moores Law The Semantic Web The Nature of Research and Publication Knowledge Mapping

32. Increasing Use of Value Added Services

33. Communities of Authors An example of a small coauthorship network depicting collaborations among scientists at a private research institution. Newman, M. E. J. (2004) Web services to run over archives at varying grainsize

34. Evolving Domains: Impact Analysis Three time periods in the PNAS high- impact map show the progression from the basic gene and protein work and techniques that dominated the 1980s to more diverse applications in the 1990s (Boyack, Kevin W. 2004)

35. Fig. 2. Bursting onto the scene: New Topics Co-word space of the top 50 highly frequent and bursty words used in the top 10% most highly cited PNAS publication s in 1982- 2001

36. Self Organising Maps: Topic Landscapes Use of k-means clustering in combination with a term dominance landscape to support semantic zooming. Skupin et al 2004

37. Detecting Key Moments: Pathfinder A 624-node merged network with global pruning by using Pathfinder Chen (2004)

38. A future… With institutional OAI at its heart… A semantic web of knowledge Knowledge repositories as key holdings Knowledge mapping services increasing in range and capability Beyond bibliometrics…