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Introduction to Semantic Web for GIS Practitioners
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4. Introduction The Web Today Large number of integrations - ad hoc - pair-wise Too much information to browse, need for searching and mashing up automatically Each site is “understandable” for us Computers don’t “understand” much ? Millions of Applications Search & Mash-up Engine 010 0 1 1 0 0 1101 10100 10 0010 01 101 101 01 110 1 10 1 10 0 1 1 0 1 0 1 0 0 1 1 0 1 1 1 10 0 1 101 0 1
6. Introduction “Understanding” Means Bridging the Gap understanding Sensor Data Symbolic Description
7. Introduction Do We Really Know What “Understanding” means? [ source http://www.thefarside.com/ ]
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17. Introduction The Semantic Web 4/4 Semantic Web Fewer Integration - standard - multi-lateral […] better enabling computers and people to work in cooperation. Even More Applications Easier to understand for people More “understandable” for computers Semantic Mash-ups & Search
18. Introduction Linked Data Standards WebMGS 2010, 27.8.2010 View the full talk at http://www.ted.com/talks/view/id/484 !
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20. Introduction Example: BIO2RDF Peter Ansell, Model and prototype for querying multiple linked scientific datasets, Future Generation Computer Systems, Volume 27, Issue 3, March 2011, Pages 329-333
71. RDF-S/OWL in a nutshell What does it mean? Formal, explicit specification of a shared conceptualization Machine readable Several people agrees that such conceptual model is adequate to describe such aspects of the reality A conceptual model of some aspects of the reality It makes domain assumption explicit
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73. RDF-S/OWL in a nutshell How much explicit shall the specification be ? “ A little semantics, goes a long way” [James Hendler, 2001] Advanced
74. RDF-S/OWL in a nutshell A simple ontology Artist Piece Painter Paint paints Sculptor Sculpt sculpts creates
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78. RDF-S/OWL in a nutshell The ontology we specified Artist Piece Painter Paint paints Sculptor Sculpt sculpts creates