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Emergency
Response
Using Real-time Semantic
Web Technology




Bart van Leeuwen / bart@netage.nl / @semanticfire
my fear
4 MINUTES
Answers to
 Questions
we Didn't Ask
Reality
Mindset
We won’t kill              There is no
 the black                  overnight
   swan                      solution




                Mindset

                           From closed
  Be agile                to open world
                              thinking
[LOD Cloud]
4 MINUTES
Statistics

                      2200
                  ‘KNOWN’ OBJECTS




   320             ±620.000
       PLANS   BUILDINGS IN SERVICE AREA




                                           41
500.000
 Plans
Why RDF?

   No clear overall picture      Open data ready
       Flexible model
                                      Multiple serializations
       Agile development


   Point to external data        Web technology
       Linked by definition          W3C Recommendation
Vocabularies – Reuse!

   Events & relations             Addresses
       VU SEM Simple Event            Vcard [5]
        Model [1]
                                   Definitions
   Geo Locations
                                       SKOS [6]
       W3C WGS84 Geo
        vocabulary [2]

   Metadata                       Only 6 domain specific
       OWMS/Dublin Core [3]        properties! [7]
       Provenance PROV-O [4]
v
External Data

   Agents fetch external              Traditional data sets
    data                                   CSV / SQL Databases
       Convert and insert linked          D2RQ mapping [8]
        data
                                       Linked Data sets
   Sources
                                           Sparql endpoint
       Linked data
           Historic Museum                Dereferencing
       Traditional datasets           Insert copy of data in
           Chamber of Commerce         incident graph
Overview

  GMS                  Agent              Agent                 Building
                                                                Address
                                                              Administration


 Inicident Initiator                          Incident Dispatcher
                       Incident Manager
Websphere
Application
Server
                                                            HTML5
                             DB2                             App
Thin lines are                                    HTML5
                          Graph Store
SPARQL 1.1 Updates                                 App
RESC.Info

  • IBM WebSphere Application Server CE [9]
    – J2EE Container

  • Triplestore
    – Jena TDB [10]
    – IBM DB2 v10 Graph store [11]

  • RESC.Info components
    – Jena Based [12]
    – Servlets
    – Message driven beans
Linked Data Fire truck
my fear
Goals
@semanticfire
Emergency
Response
Using Real-time Semantic
Web Technology

@semanticfire


Bart van Leeuwen / bart@netage.nl /
Reference
•   [1]   http://semanticweb.cs.vu.nl/2009/11/sem/

•   [2]   http://www.w3.org/2003/01/geo/wgs84_pos

•   [3]   http://standaarden.overheid.nl/owms/4.0/doc

•   [4]   http://www.w3.org/TR/prov-o/

•   [5]   http://www.w3.org/2006/vcard/ns-2006.html

•   [6]   http://www.w3.org/TR/skos-reference/

•   [7]   http://vocab.resc.info

•   [8]   http://d2rq.org/

•   [9]   http://www-01.ibm.com/software/webservers/appserv/community/
Reference
•   [10]   http://jena.apache.org/documentation/tdb/index.html

•   [11]   http://www.ibm.com/developerworks/downloads/im/udbexp/

•   [12]   http://jena.apache.org/index.html

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SMERST 2013

  • 1. Emergency Response Using Real-time Semantic Web Technology Bart van Leeuwen / bart@netage.nl / @semanticfire
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  • 25. We won’t kill There is no the black overnight swan solution Mindset From closed Be agile to open world thinking
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  • 36. Statistics 2200 ‘KNOWN’ OBJECTS 320 ±620.000 PLANS BUILDINGS IN SERVICE AREA 41
  • 38. Why RDF?  No clear overall picture  Open data ready  Flexible model  Multiple serializations  Agile development  Point to external data  Web technology  Linked by definition  W3C Recommendation
  • 39. Vocabularies – Reuse!  Events & relations  Addresses  VU SEM Simple Event  Vcard [5] Model [1]  Definitions  Geo Locations  SKOS [6]  W3C WGS84 Geo vocabulary [2]  Metadata  Only 6 domain specific  OWMS/Dublin Core [3] properties! [7]  Provenance PROV-O [4]
  • 40. v
  • 41. External Data  Agents fetch external  Traditional data sets data  CSV / SQL Databases  Convert and insert linked  D2RQ mapping [8] data  Linked Data sets  Sources  Sparql endpoint  Linked data  Historic Museum  Dereferencing  Traditional datasets  Insert copy of data in  Chamber of Commerce incident graph
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  • 44. Overview GMS Agent Agent Building Address Administration Inicident Initiator Incident Dispatcher Incident Manager Websphere Application Server HTML5 DB2 App Thin lines are HTML5 Graph Store SPARQL 1.1 Updates App
  • 45. RESC.Info • IBM WebSphere Application Server CE [9] – J2EE Container • Triplestore – Jena TDB [10] – IBM DB2 v10 Graph store [11] • RESC.Info components – Jena Based [12] – Servlets – Message driven beans
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  • 49. Goals
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  • 52. Emergency Response Using Real-time Semantic Web Technology @semanticfire Bart van Leeuwen / bart@netage.nl /
  • 53. Reference • [1] http://semanticweb.cs.vu.nl/2009/11/sem/ • [2] http://www.w3.org/2003/01/geo/wgs84_pos • [3] http://standaarden.overheid.nl/owms/4.0/doc • [4] http://www.w3.org/TR/prov-o/ • [5] http://www.w3.org/2006/vcard/ns-2006.html • [6] http://www.w3.org/TR/skos-reference/ • [7] http://vocab.resc.info • [8] http://d2rq.org/ • [9] http://www-01.ibm.com/software/webservers/appserv/community/
  • 54. Reference • [10] http://jena.apache.org/documentation/tdb/index.html • [11] http://www.ibm.com/developerworks/downloads/im/udbexp/ • [12] http://jena.apache.org/index.html