Linked Data meet Sensor Networks
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1 Digital Entrpris Rsarch Institut Linkd Data mt Snsor Ntworks Myriam Lggiri DERI NUI Galway, Irland Copyright 2008 Digital Entrpris Rsarch Institut. All rights rsrvd.
2 Linkd Data mt Snsor Ntworks Digital Entrpris Rsarch Institut
3 Linkd Data mt Snsor Ntworks Digital Entrpris Rsarch Institut What's a Snsor Ntwork without Smantics? How is th ocan lik at Cancùn right now? How can all th snsors that ar acquiring ocanographic data in Cancùn b found? That's Smantics for snsors! That's Smantics for snsor data! Slf-awarnss SN xpos thir own machin-undrstandabl dscription Svral data rprsntations ar usd. How can I undrstand ths masurmnts? Obsrvations and masurmnts machinundrstandabl dscription
4 Linkd Data mt Snsor Ntworks Digital Entrpris Rsarch Institut What's a Smantic Snsor Ntwork without Linkd Data? How is th ocan lik at Cancùn right now? 1.1 Sarch th LoD cloud to vntually crat propr links with similar data rgarding arth plats. Two diffrnt SN locatd on th coastlin dtct a calm ocan. at th sam tim... Anothr SN dtct a movmnt of arth plats 1)How can w chck if this movmnt is gnrally associatd with storm surgs? 2)If it's so, how can w link this hazard warning to th usr answr? That's Linkd Data! That's Linkd Data bnfit! 2.1 Sarch th LoD cloud to vntually crat propr links 2.2 Linkabl SD about arth plats dtctd. Thir rprsntation alrady is linkd to th storm surg hazard
5 Linkd Data mt Snsor Ntworks : Stat Of th Art - standards Digital Entrpris Rsarch Institut Dfinition of Standards For transducrs: IEEE1451, Radiation dtction standards : ANSI N42 Opn Gospatial Consortium's Snsor Wb Enablmnt (OGC's SWE) Snsor-cntric : snsor Modl Languag (snsorml) Usr-cntric : Obsrvations & Masurmnts (O&M) Rmoval of intrfac htrognity among ntworks Concpt incompatibilits not solvd yt
6 Linkd Data mt Snsor Ntworks : Stat Of th Art snsor ontologis Digital Entrpris Rsarch Institut Snsor / Dvic SSN ontologis dscrib diffrnt aspcts: Systm, componnt, typs of snsors Capabilitis Condition, rsolution, latncy Procss Input, output, ffct Physical Proprtis Location, platform, dploymnt, powr supply Obsrvation Quantity, fatur, Unit of Masurmnt Ntworks Enrgy fficincy, hirarchy, routing algorithm
7 Linkd Data mt Snsor Ntworks : Stat Of th Art snsor ontologis Digital Entrpris Rsarch Institut Issu: absnc of 'standard' ontologis for ach domain Exampl: Domain: Computr Scinc ontologis onto1; onto2 Concpts: onto1:monitor and onto2:rotinom Both rfr to 'computr scrn' but thr's no tripl as <onto1:monitor owl:samas onto2:rotinom>
8 Linkd Data mt Snsor Ntworks : Stat Of th Art snsor ontologis Digital Entrpris Rsarch Institut Solution: Alignmnt with Uppr-Lvl (Foundational) ontologis i.. DOLCE, SUMO Gnral cross-domain concpts from natural philosophy Alignmnt with a foundational ontology allow mor introprability Easily happns onto1 and onto2 don't know ach othr, in contrast Foundationals ar all known onto1 and onto2 alignd both to DOLCE monitor and rotinom ar now rlatd
9 Linkd Data mt Snsor Ntworks : Stat Of th Art snsor ontologis Digital Entrpris Rsarch Institut MMI Dvic ontology ; CSIRO snsor ontology Focusd on systm and capabilitis, Procss composition, Oprational and Rspons modl OOSTthys Modl ; CESN Ontology Snsor Systm: aggrgation of snsors mountd on th sam platform Snsor Ntwork : spatially distributd communicating snsors or snsor systms. Instrumnt: svral snsors containr
10 Linkd Data mt Snsor Ntworks : Stat Of th Art snsor ontologis xampl Digital Entrpris Rsarch Institut MarinMtadataIntroprability (MMI) Dvic Ontology
11 Linkd Data mt Snsor Ntworks : Stat Of th Art snsor ontologis xampl Digital Entrpris Rsarch Institut CSIRO Snsor Ontology
12 Linkd Data mt Snsor Ntworks : Stat Of th Art snsor ontologis Digital Entrpris Rsarch Institut SWAMO Dynamic and composabl introprability btwn SnsorWb products and srvics A3m3 Slf-discovry, Slf-dscription, Classification of dvics and thir capabilitis Snsors and Compositions Qury not satisfid by any xisting snsor Composition of a satisfying «virtual snsor» from th xisting ons
13 Linkd Data mt Snsor Ntworks : Stat Of th Art snsor ontologis - Obsrvations Digital Entrpris Rsarch Institut Kuhn Bridg togthr snsorml and O&M by focusing on Stimuli
14 Linkd Data mt Snsor Ntworks : Stat Of th Art snsor ontologis - Obsrvations Digital Entrpris Rsarch Institut Probst Rfrnc rgion maps to Quality rgion (magnitud of th obsrvd quality) Quality rgions ---Scintific --- Cognitiv (human prsonal prcption of magnituds)
15 Linkd Data mt Snsor Ntworks : Stat Of th Art snsor ontologis - Obsrvations Digital Entrpris Rsarch Institut Particular of th taxonomy of Qualitis proposd by Probst
16 Linkd Data mt Snsor Ntworks : Stat Of th Art W3C SSN-XG Digital Entrpris Rsarch Institut W3C SmanticSnsorNtwork-XG Incubator Group Main motivation No xisting SSN ontology includd all th basic concpts Main tasks : 1)Add smantic annotations to xisting standards 2) Smantic Snsor Ntwork Ontology (avoiding to rinvnt any whl)
17 Linkd Data mt Snsor Ntworks : Stat Of th Art W3C SSN-XG Digital Entrpris Rsarch Institut 1)Smantic annotation addd to th OGC standards XLink usd to ncod Smantic Annotations RDF intrprtation of Xlink annotations Exampl :
18 Linkd Data mt Snsor Ntworks : Stat Of th Art W3C SSN-XG Digital Entrpris Rsarch Institut 1) SSN-XG ontology
19 Linkd Data mt Snsor Ntworks : Stat Of th Art W3C SSN-XG Digital Entrpris Rsarch Institut Allow to xprss : snsor concpts, typs, instancs DscriptionLogic (DL) rasonr can classify concpts and instancs considring thos othr data
20 Linkd Data mt Snsor Ntworks : Not yt don Digital Entrpris Rsarch Institut From Amit Shth's Computing for Human Exprinc: Snsors, Prcption, Smantics, Social Computing, Wb N.0, and byond
21 Linkd Data mt Snsor Ntworks : Not yt don Digital Entrpris Rsarch Institut = Human and Machin working in harmony From Amit Shth's Computing for Human Exprinc: Snsors, Prcption, Smantics, Social Computing, Wb N.0, and byond
22 Linkd Data mt Snsor Ntworks : Not yt don Digital Entrpris Rsarch Institut Linkd Snsor Data ar not yt compltly implmntd Mta dscription of datast Main Issus : Wb of Data Discovry Good hint : void (vocabulary of Intrlinkd Datast) plus concpt from ontologis alignd with Uppr lvl ons No sprad usag of rich xprssivity by OWL or RDFS Qury SPARQL : xactly corrct ontology trms nd to b insrtd in th qury
23 Linkd Data mt Snsor Ntworks : Not yt don Digital Entrpris Rsarch Institut Intrprtations Corrlatd vnts Evnt Causal vnts Mmory Evnt Modl F Emotions Data.gov.uk stats SSN Ontology NASA Eurostat DBpdia MOAT GoNams, LinkdGodata OPO SIOC FOAF SWEET, CO2, Enrgy, EnakTing
24 Linkd Data mt Snsor Ntworks Digital Entrpris Rsarch Institut Rfrncs Fiv challngs for th Smantic Social Wb - O. Corcho, R. Castro Computing for Human Exprinc - A. Shth Rviw by W3C SSN-XG Prsonal contact : myriam.lggiri_at_dri.org PhD studnt at DERI, NUIG, Irland
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