Your SlideShare is downloading. ×
0
Ld make sensorssing_slideshare
Ld make sensorssing_slideshare
Ld make sensorssing_slideshare
Ld make sensorssing_slideshare
Ld make sensorssing_slideshare
Ld make sensorssing_slideshare
Ld make sensorssing_slideshare
Ld make sensorssing_slideshare
Ld make sensorssing_slideshare
Ld make sensorssing_slideshare
Ld make sensorssing_slideshare
Ld make sensorssing_slideshare
Ld make sensorssing_slideshare
Ld make sensorssing_slideshare
Ld make sensorssing_slideshare
Ld make sensorssing_slideshare
Ld make sensorssing_slideshare
Ld make sensorssing_slideshare
Ld make sensorssing_slideshare
Ld make sensorssing_slideshare
Ld make sensorssing_slideshare
Ld make sensorssing_slideshare
Ld make sensorssing_slideshare
Ld make sensorssing_slideshare
Ld make sensorssing_slideshare
Ld make sensorssing_slideshare
Ld make sensorssing_slideshare
Ld make sensorssing_slideshare
Ld make sensorssing_slideshare
Ld make sensorssing_slideshare
Ld make sensorssing_slideshare
Ld make sensorssing_slideshare
Ld make sensorssing_slideshare
Ld make sensorssing_slideshare
Ld make sensorssing_slideshare
Ld make sensorssing_slideshare
Ld make sensorssing_slideshare
Ld make sensorssing_slideshare
Ld make sensorssing_slideshare
Ld make sensorssing_slideshare
Ld make sensorssing_slideshare
Ld make sensorssing_slideshare
Ld make sensorssing_slideshare
Ld make sensorssing_slideshare
Ld make sensorssing_slideshare
Ld make sensorssing_slideshare
Ld make sensorssing_slideshare
Ld make sensorssing_slideshare
Ld make sensorssing_slideshare
Ld make sensorssing_slideshare
Ld make sensorssing_slideshare
Ld make sensorssing_slideshare
Ld make sensorssing_slideshare
Upcoming SlideShare
Loading in...5
×

Thanks for flagging this SlideShare!

Oops! An error has occurred.

×
Saving this for later? Get the SlideShare app to save on your phone or tablet. Read anywhere, anytime – even offline.
Text the download link to your phone
Standard text messaging rates apply

Ld make sensorssing_slideshare

566

Published on

Linked Data applied to sensor-related data: what they solve, how and why it should matter

Linked Data applied to sensor-related data: what they solve, how and why it should matter

Published in: Technology, Business
0 Comments
0 Likes
Statistics
Notes
  • Be the first to comment

  • Be the first to like this

No Downloads
Views
Total Views
566
On Slideshare
0
From Embeds
0
Number of Embeds
0
Actions
Shares
0
Downloads
5
Comments
0
Likes
0
Embeds 0
No embeds

Report content
Flagged as inappropriate Flag as inappropriate
Flag as inappropriate

Select your reason for flagging this presentation as inappropriate.

Cancel
No notes for slide

Transcript

  • 1. Semantic-Service Provisioning for theInternet of Things using Future Internet Research by Experimentation www.spitfire-project.eu Linked Data make sensors sing Myriam Leggieri DERI, NUI Galway myriam.leggieri@deri.org
  • 2. Sensors matter Bridge between the real and the digital world enhanced by
  • 3. What we do not see What happened where we couldn’t be A thief in our house Not working equipment Product going to wasteOn a small scale...
  • 4. What we do not see How healthy was your walk? Temperature Radiation NoiseDiseases Location Air quality Distance from Home
  • 5. What we do not seeWhat happened where we couldn’t beOn a large scale
  • 6. What we can not see Radiation level? Air quality?
  • 7. What we can not see Limited human capabilities need to be enhanced by devices Democratic awareness
  • 8. Sensors for people Conclusion: Sensors matter. How to get a sensor? Sensors are all around and cheap
  • 9. Sensors for people Conclusion: Sensors are everywhere. This matters. ... For who?
  • 10. Sensor for people Few users of sensor-based mobile apps.Why?
  • 11. Sensors for people - Issues Different information / sources need integration Temperature Radiation NoiseDiseases Location Air quality Distance from Home
  • 12. Sensors for people - Issues 1. Integrate different information Temperature Radiation NoiseDiseases Location Air quality Distance from Home
  • 13. Sensors for people - Issues 2. Integrate different domains Temperature Radiation NoiseDiseases Location Air quality Environmental Distance from Home Life Science Geography 3. Integrate different sources Government
  • 14. Sensors for people – Solution Linked Data
  • 15. Linked Data representation 1. HTTP Unique Names for Things Color ? Dereferencable URI http://www.example.com/color
  • 16. Linked Data representation 2. semantic descriptionTemperature Identifiable single data Unambiguous Hierarchical Knowledge
  • 17. Linked Data representation 2. semantic descriptionUnambiguous for machine -> no ad-hoc schema Ad-hoc Schema Natural Language Web Page XML subjverbobjsubjve rbobjsubjverbobjs ubjverbobj.. subjverbobjsubjve rbobj......
  • 18. Linked Data representation 2. semantic description Unambiguous for machine -> no ad-hoc schema Tables Trees Graphs Easy mergingsource: http://www.w3.org/2006/Talks/0216-semweb-em/
  • 19. Linked Data representation 2. semantic description Unambiguous for machine -> no ad-hoc schema RD Fsource: http://www.w3.org/2006/Talks/0216-semweb-em/
  • 20. Linked Data representation 2. semantic description SPARQL querySPARQL query language to extract and/or merge data
  • 21. Linked Data representation 2. semantic description SPARQL query +graph name SPARQL query run against “Named Graphs”
  • 22. Linked Data representation 2. semantic description SPARQL queryExternal triples/named graphs imported
  • 23. Linked Data representation 2. semantic description Federated query: remotely queried datasetsSource: http://www.slideshare.net/LeeFeigenbaum/sparql-cheat-sheet
  • 24. Linked Data representation Federated Query example UK legislation + QR-Code based digital zoom imagesSource:http://www.delicious.com/kidehen/sparql_fed_demo
  • 25. Linked Data representation 3. meaningful linkagehttp://../Braunschweig Germany http://.../isPartOf motivation assigned to the link
  • 26. Linked Data representation LOD cloud: publicly available datasets2007 2008 2010
  • 27. Linked Data representation LOD cloud: publicly available datasets 2011
  • 28. <div itemscope itemtype="http://data-vocabulary.org/Person"> My name is <span itemprop="name">Bob Smith</span> but people call me <span itemprop="nickna Linked Data representation Adding semantics in other ways than RDF Source: http://manu.sporny.org/2011/uber- comparison-rdfa-md-uf/
  • 29. Linked Data representation support Microformats, Microdata, RDFa Google’s Rich Snippet (2009) Facebook’s Open Graph (2010) Schema.org (2011)
  • 30. Linked Data representationMicroformats, Microdata -> RDFSindice indexes semantics from anywhere
  • 31. Linked Data representation Radiation Temperature NoiseDiseases Location Air quality Distance from Home Not all of these data are yet available but support from
  • 32. Linked Data vocabulariesIEEE standards to allow seamless device interaction Bluetooth standard
  • 33. Linked Data vocabulariesStandardsRigid approach
  • 34. Linked Data vocabulariesStandardsRigid approachResource expensive
  • 35. Linked Data vocabulariesStandardsRigid approachResource expensiveA full agreement is never reached
  • 36. Linked Data vocabulariesSemantic ontologies have a democratic approach AgreementMeanwhile... People Opinions ontology reusage + link with abstratc concepts = constant reciprocal undertanding
  • 37. Linked Data vocabulariesVocabularies are indexed and ranked Easy finding ontology concepts to reuse source: http://labs.mondeca.com/dataset/lov/search
  • 38. Sensor ontologies CESN Ontology A3M3 OntologyMMI Device Ontology SWAMO Ontology W3C SSN-XG Ontology SSN cross-domain sensor ontology easily pluggable with other domain-specific ones
  • 39. Outcomes: SPITFIRE ontology Bringing sensors in the LOD and abstract on top of themOutdoor Place Sensing Context W3C SSN-XG Ontology +Event Model F ontology Historical Archive W3C SSN-XG plugged with other conceptsAvailable at: http://spitfire-project.eu/cc/spitfireCC_n3.owl
  • 40. Outcomes Smart Service Proxy (SSP) Henning Hasemann, Oliver Kleine, Alexander Kroeller RDF4Sensors myself live sensor data published online as Linked Data dynamically aggregatable according to higher concepts
  • 41. Outcomes – RDF4Sensors
  • 42. Outcomes – RDF4Sensors
  • 43. Outcomes – RDF4Sensors Try it yourself at http://spitfire-project.eu/ incontextsensing/rdf4sensors.php and SSP at http://spitfire.ibr.cs.tu-bs.de:8080/
  • 44. Outcomes – inContext-SensingExternal links searched through Sindice by customizable criteria
  • 45. Outcomes – inContext-SensingExternal links searched through Sindice by customizable criteria
  • 46. Outcomes – inContext-SensingExternal links searched through Sindice by customizable criteria
  • 47. Personal OutcomesSPITFIRE ontologyinContext Sensing: customizable external linkageRDF4Sensors: REST API + HTML form to provide semantic sensor description Investigate on usefulness / meaningfulness of Linked Sensor Data
  • 48. LD make sensors sing Temperature Radiation NoiseDiseases Location Air quality Distance from Home
  • 49. LD make sensors sing Radiation Temperature Diseases Location Noise Distance from Home Air quality
  • 50. LD make sensors sing Radiation Temperature Diseases Location Noise Distance from Home Air quality
  • 51. DERI – Sensors and Semantics part of the DERI people working on Sensors and Semantics http://sensormasher.deri.org RDF Storage and Query Processor for Android phones Data Stream querying Prof. Manfred HauswirthM. Hausenblas M. Karnstedt D. Le Phuoc J.X. Parreira myself http://www.deri.ie/about/team/
  • 52. DERI, NUIG, Ireland DERI
  • 53. DERI, NUIG, IrelandNational Univ. of Ireland, Galway Galway DERI Thanks to such additional context now you will not forget about DERI 

×