PowerMagpie

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Presentation at Oxfordshire Semantic Web Interest Group spring meeting (2009). http://swig.networkedplanet.com/

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PowerMagpie

  1. 1. PowerMagpie Laurian Gridinoc Knowledge Media Institute, The Open University 2009/03/10
  2. 2. Semantic Browsing semantic links, not syntactic ones provide interpretation support
  3. 3. Magpie (2003) ontology-driven named entity recognition semantic services http://projects.kmi.open.ac.uk/magpie/main.html
  4. 4. PowerMagpie (2007) find ontologies at runtime: Watson (2006) provide “interpretation support”? http://watson.kmi.open.ac.uk/ http://powermagpie.open.ac.uk/
  5. 5. PowerMagpie
  6. 6. Interpretation A process of locating and making additional information explicit in a way that makes it coherent and “look orderly” Information always comes in packages expressing certain points of view Nelson, T. H. (1997). The future of information. Ideas, Connections, and the Gods of Electronic Literature.
  7. 7. Interpretation The application of a certain point of view is usually subject to subscribing to some ‘sense of order’ Humans exhibit innate senses of order, and use different systems of order to filter out or transform the facts that do not fit the expected order. To understand a point of view, one need to recognise first the primary systems of order, as other abstract systems of order may compose upon them. (Ted Nelson)
  8. 8. On semantic web statements reflect specific points of view which usually adhere to certain ontologies as systems of order
  9. 9. PowerMagpie What it does? What it should do? discover interesting hide URIs and terms superfluous relations and concepts relate them with ontologies less trees/graphs, more text/tagclouds show some ontological information persist annotations add RDFa annotations “semantic links”
  10. 10. How? get more instance data (LOD) process all the literals of an entity’s CBD, show a tagcloud as entity’s definition cluster entities cluster ontologies (by domain?) show at most key terms from an ontology, or key related terms discover relations across ontologies (scarlet.open.ac.uk)
  11. 11. Visualisation developed by Takayuki Goto, Knowledge as Media Group (KasM) Tokyo. http://www-kasm.nii.ac.jp/
  12. 12. Medical Ontologies Epidemiological O. Geographical O.
  13. 13. Conceptual Spaces Euclidian space, highly dimensional quality dimensions concepts as (convex) regions objects as points similarity = distance (Gärdenfors, P. (2004) Conceptual Spaces: The Geometry of Thought)
  14. 14. Lorem ipsum dolor sit amet, consectetuer adipiscing elit. Vivamus Lorem ipsum dolor sit amet, consectetuer adipiscing elit. Vivamus tempus, nisi ut eleifend aliquam, pede libero dictum nibh, sed gravida tempus, nisi ut eleifend aliquam, pede libero dictum nibh, sed gravida lectus ante eget nunc. lectus ante eget nunc.
  15. 15. <http://example.com/#xpointer(string-range(/html/body/p[2],quot;documentationquot;))> <http://openguid.net/rdf#identical> <http://www.daml.org/2002/01/experiences/experiences.daml#documentation> .
  16. 16. Next de-couple UI from back-end RESTful API sample implementation with Mozilla Ubiquity build on top of Talis Platform
  17. 17. Thank you. http://purl.org/net/laur

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