Ld make sensorssing_slideshare

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

Sensors matter Bridge between the real and the digital world enhanced by

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...

What we do not see How healthy was your walk? Temperature Radiation NoiseDiseases Location Air quality Distance from Home

What we do not seeWhat happened where we couldn’t beOn a large scale

What we can not see Radiation level? Air quality?

What we can not see Limited human capabilities need to be enhanced by devices Democratic awareness

Sensors for people Conclusion: Sensors matter. How to get a sensor? Sensors are all around and cheap

Sensors for people Conclusion: Sensors are everywhere. This matters. ... For who?

Sensor for people Few users of sensor-based mobile apps.Why?

Sensors for people - Issues Different information / sources need integration Temperature Radiation NoiseDiseases Location Air quality Distance from Home

Sensors for people - Issues 1. Integrate different information Temperature Radiation NoiseDiseases Location Air quality Distance from Home

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

Sensors for people – Solution Linked Data

Linked Data representation 1. HTTP Unique Names for Things Color ? Dereferencable URI http://www.example.com/color

Linked Data representation 2. semantic descriptionTemperature Identifiable single data Unambiguous Hierarchical Knowledge

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......

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/

Linked Data representation 2. semantic description Unambiguous for machine -> no ad-hoc schema RD Fsource: http://www.w3.org/2006/Talks/0216-semweb-em/

Linked Data representation 2. semantic description SPARQL querySPARQL query language to extract and/or merge data

Linked Data representation 2. semantic description SPARQL query +graph name SPARQL query run against “Named Graphs”

Linked Data representation 2. semantic description SPARQL queryExternal triples/named graphs imported

Linked Data representation 2. semantic description Federated query: remotely queried datasetsSource: http://www.slideshare.net/LeeFeigenbaum/sparql-cheat-sheet

Linked Data representation Federated Query example UK legislation + QR-Code based digital zoom imagesSource:http://www.delicious.com/kidehen/sparql_fed_demo

Linked Data representation 3. meaningful linkagehttp://../Braunschweig Germany http://.../isPartOf motivation assigned to the link

Linked Data representation LOD cloud: publicly available datasets2007 2008 2010

Linked Data representation LOD cloud: publicly available datasets 2011

<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/

Linked Data representation support Microformats, Microdata, RDFa Google’s Rich Snippet (2009) Facebook’s Open Graph (2010) Schema.org (2011)

Linked Data representationMicroformats, Microdata -> RDFSindice indexes semantics from anywhere

Linked Data representation Radiation Temperature NoiseDiseases Location Air quality Distance from Home Not all of these data are yet available but support from

Linked Data vocabulariesIEEE standards to allow seamless device interaction Bluetooth standard

Linked Data vocabulariesStandardsRigid approach

Linked Data vocabulariesStandardsRigid approachResource expensive

Linked Data vocabulariesStandardsRigid approachResource expensiveA full agreement is never reached

Linked Data vocabulariesSemantic ontologies have a democratic approach AgreementMeanwhile... People Opinions ontology reusage + link with abstratc concepts = constant reciprocal undertanding

Linked Data vocabulariesVocabularies are indexed and ranked Easy finding ontology concepts to reuse source: http://labs.mondeca.com/dataset/lov/search

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

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

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

Outcomes – RDF4Sensors

Outcomes – RDF4Sensors Try it yourself at http://spitfire-project.eu/ incontextsensing/rdf4sensors.php and SSP at http://spitfire.ibr.cs.tu-bs.de:8080/

Outcomes – inContext-SensingExternal links searched through Sindice by customizable criteria

Personal OutcomesSPITFIRE ontologyinContext Sensing: customizable external linkageRDF4Sensors: REST API + HTML form to provide semantic sensor description Investigate on usefulness / meaningfulness of Linked Sensor Data

LD make sensors sing Temperature Radiation NoiseDiseases Location Air quality Distance from Home

LD make sensors sing Radiation Temperature Diseases Location Noise Distance from Home Air quality

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/

DERI, NUIG, Ireland DERI

DERI, NUIG, IrelandNational Univ. of Ireland, Galway Galway DERI Thanks to such additional context now you will not forget about DERI 

Ld make sensorssing_slideshare

by Myriam Leggieri on Jan 18, 2012

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Ld make sensorssing_slideshare — Presentation Transcript

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