Esad 12may2010

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Stuart Dunn and Tobias Blanke presentation on AHeSSC for British Academy event on 12 May

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  • This is a simplified architectural diagram showing the set-up for the first case study, with the 2 databases – along with separate databases for annotations to the main ones. This uses the SQL Views – which allows views on a read only database, columns to be renamed and so forth – and the DQP functionality that was described in the earlier session today – in fact you may recognise this diagram, which is very similar to one you saw earlier. This set-up allows the multiple tables in the multiple databases to appear as tables in a single database, and allows researchers to make join and union queries over the tables. ----------------------------- . Can do joins and unions over the tables. SQL views can handle the following requirements: V.1 Expose TEXT date column types as DATE date column types. [Mike: I’m not sure if this is possible using SQL views]. V.2 UNION N tables so they are treated as a single table. H.1 Expose German column and table names as English handling any spaces and German characters. DQP can handle the following requirements: V.3 Expose multi-lingual column contents as English. V.4 Perform text searches over the contents of individual fields. H.2 Expose multi-lingual column contents as English handling any language-specific characters. H.3 Perform text searches over the contents of individual fields. HV.1 Perform a join across both of the databases. Our current design, based on the experiences and issues outlined in LaQuAT Experiments is as follows:
  • The data resources used in the project are just three examples – there are many small, scattered yet related data resources that would benefit researchers if we linked them up along the lines described above, to form a sort of virtual data centre for researchers, uniting scattered and inaccessible data resources and enabling them to ask questions that they would not have been able to ask otherwise. The whole in this case has the potential to be much more than the some of the parts – the utility of these datasets would increase greatly once a certain critical mass was reached. As an analogy, you might think of a map where each dataset represented a small part – say a few houses within a street. If you integrate a few of them it is of limited use, but after a certain point is reached you will have enough information to navigate your way through the streets.
  • Esad 12may2010

    1. 1. New Directions in e-Science for the Arts and Humanities Stuart Dunn Tobias Blanke Centre for e-Research, King’s College London www.kcl.ac.uk/iss/cerch British Academy, 12th May 2010
    2. 2. <ul><ul><li>&quot; e-Science is about global collaboration in key areas of science and the next generation of infrastructure that will enable it .&quot; - Sir John Taylor, Former Director General of Research Councils, 2000 </li></ul></ul><ul><ul><li>“ the development and deployment of a networked infrastructure and culture through which resources – (…) – can be shared in a secure environment, and in which new forms of collaboration can emerge, and new and advanced methodologies explored.” ( http://www.ahessc.ac.uk/scoping-survey ) </li></ul></ul><ul><ul><li>- Sheila Anderson, Director, Centre for e-Research, King’s College London, 2007 </li></ul></ul>“ [n]ot only [to] provide unprecedented access to a variety of cultural artifacts but also [to] make it possible to see these artifacts in completely new ways … digital technology [that] can offer us new ways of seeing art, new ways of bearing witness to history, new ways of hearing and remembering human languages, new ways of reading texts, ancient and modern.’ - ‘Our Cultural Commonwealth, ACLS, 2006 Old directions in e-Science
    3. 3. <ul><li>Using networks to connect resources </li></ul><ul><li>Grids to allow virtual computing across “admin domains” </li></ul><ul><ul><li>Virtual digital libraries, virtual museums, virtual observatories </li></ul></ul><ul><li>Technology that was first developed and adopted in the sciences… </li></ul>People Data Computation People Data Computation Old directions in e-Science
    4. 4. The complexity deluge: some questions <ul><li>How do we deal with large data sets from automated simulations? </li></ul><ul><li>How do we understand heterogeneous and distributed resources such as artworks, texts, artefacts? </li></ul><ul><li>How can semantically different resources be linked and compared? </li></ul><ul><li>What is/will be the impact of massive digitization programmes such as Europeana ( http://www.europeana.eu/portal/ ) on cultural heritage research? </li></ul><ul><li>Experiences - BVREH... </li></ul>
    5. 5. Impact on Community HiTHeR
    6. 6. Arts and Humanities e-Science in the UK: 2007 - <ul><li> Helen Bailey : Relocating Choreographic Process: The impact of Grid technologies and collaborative memory on the documentation of practice-led research in dance </li></ul><ul><li> Alan Bowman: Image, Text, Interpretation: e-Science, Technology and Documents </li></ul><ul><li> Tim Crawford : Purcell Plus: Exploring an eScience Methodology for Musicologists </li></ul><ul><li> Vincent Gaffney : Medieval Warfare on the Grid: The Case of Manzikert </li></ul><ul><li> Sally MacDonald , E-Curator: 3D colour scans for remote object identification and assessment </li></ul><ul><li> Julian Richards , Archaeotools: Data mining, facetted classification and E-archaeology </li></ul><ul><li> monica schraefel, musicSpace: Using and Evaluating e-Science Design Methods and Technologies to Improve Access to Heterogeneous Music Resources for Musicology </li></ul>http://www.ahessc.ac.uk/initiative-projects
    7. 7. Mapping e-Science to the Digital Humanities
    8. 8. The idea of synchronicity is that the conceptual relationship of minds, defined as the relationship between ideas, is intricately structured in its own logical way and gives rise to relationships that are not causal in nature. These relationships can manifest themselves as simultaneous occurrences that are meaningfully related. -http://en.wikipedia.org/wiki/Synchronicity Synchonicité
    9. 9. A ‘reconstruction’ is process of decision making Material reconstructions based on subjective interpretation of observation Sir Arthur Evans and the Palace of Minos at Knossos © Hellenic Ministry of Culture Example 1: Reconstruction of archaeological features
    10. 10. ...so can we enhance this by observing (contemporary) human movement through (historical) features... Focus always on (extant) material features - and their documentation © Copyright Salisbury and South Wiltshire Museum
    11. 11. Motion in Place Platform Bedford, KCL, Reading, Sussex
    12. 15. Capturing the ephemeral <ul><li>Application to other embodied practices </li></ul><ul><li>New modes of cultural heritage reconstruction based on use of space </li></ul>
    13. 16. Performing the Site <ul><li>Embodied performance of the site as palimpsest </li></ul><ul><li>Performance of absent presence </li></ul>
    14. 17. Example 2: Documentation of gallery experiences
    15. 19. <ul><li>Assumption that the camera (or the geovisualization) never lies (enforced crispness) </li></ul><ul><li>Some attempts to improve this model, e.g. anchor theory, buffering procedures </li></ul>Example 3: Geographic information extraction <ul><li>Most web mapping applications are vecctor based </li></ul>
    16. 21. Gazetteer ID Geometric location Toponym Feature type
    17. 22. From the parsed text From a reference gazetteer
    18. 24. <ul><li>Problems:- </li></ul><ul><li>Identification of place names (as opposed to [e.g.] person names) </li></ul><ul><li>Disambiguation of place names (e.g. Belfast, Antrim versus Belfast, Maine) </li></ul><ul><li>Document structure - inevitably affects how the Geoparser works with individual corpora </li></ul><ul><li>Lack of standardized way of dealing with georeferencing </li></ul><ul><li>Only point data </li></ul>
    19. 25. <ul><li>Projet Volterra: Access database with Perl script based publication; mainly text-based searches </li></ul><ul><li>HGV: FileMaker Pro; German – use views to translate them </li></ul><ul><li>InsAph XML database: XML data source in EpiDoc; overlap in time with Volterra </li></ul>
    20. 26. <ul><li>Researcher investigating activities of individuals and patterns of relationships in a certain period by analysing the data from the Aphrodisias inscriptions and the legal legislation records . </li></ul><ul><li>Query to search for text (name) across the datasets with dates in a particular range . </li></ul><ul><li>Select all records from Volterra_DB and AIph_DB where Volterra_DB.Issuer (Actual) AIph_DB.translation = &quot;Licinius“ and Volterra_DB.datum (preferred) between &quot;200/01/01&quot; AND &quot;399/01/01&quot;, AIph_DB.notBefore > 0200 and AIph_DB.notAfter < 0399; </li></ul>
    21. 27. Architecture
    22. 28. Vision: Virtual Data Centre … JDBC/ODBC Client OGSA- DAI HGV - MySQL German-English join table
    23. 29. Mapping e-Science to the Digital Humanities Documenting Process Linking datasets Developing new research questions eSAD E-Dance MSpace LAQUAT Purcell VERA S. Dunn, S. Anderson and T. Blanke (forthcoming): ‘Methodological Commons: Arts and Humanities e-Science Fundamentals’. Phil Trans. A, Proceedings of AHM2009.
    24. 30. - Technology provides new opportunities to document process E-Science in the A&H - Documentations of process thus produced can become part of the research outcome - How? - Processing data - not necessarily on Grids - Linking data - (probably necessarily) in Clouds

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