UBICOMM - EMERGING The Internet of Everything: Challenges of Web of Things in Smart Cities

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1 UBICOMM - EMERGING The Internet f Everything: Challenges f Web f Things in Smart Cities Mderatr: Sergey Balandin ITMO University, Russia Panelists: Ivana Semanjski, University f Zagreb, Cratia / Ghent University, Belgium Dmitry Krzun, Petrzavdsk State University, Russia Michele Ruta, Technical University f Bari, Italy Sergey Balandin, ITMO University, Russia The Tenth Internatinal Cnference n Mbile Ubiquitus Cmputing, Systems, Services and Technlgies (UBICOMM 2016) Octber 9-13, 2016, Venice, Italy

2 Web as an applicatin platfrm fr the real wrld things IT gives device an IP address and makes it intercnnected in Internet But netwrking alne desn t enable success and practical usability f IT Custmers are lking fr practical services and web is the mst cmmnly accepted tl fr accessing services in the virtual space Main grups f challenges: Security and Privacy existing technlgies ften are nt applicable in WT f large-scale, distributed, hetergeneus and lw-capability smart things Hetergeneity and Scalability adptin f WT requires us t be prepared t a tremendusly huge number f devices t be integrated t the existing Web Search and Discvery things need t discver the existence, functinality and infrmatin f their desired web services Ambient Intelligence gal f WT is t build an ecsystem that can prvide user-riented and envirnment-aware services, i.e., the web services shall be sensitive and respnsive t changes f envirnment and the user s presence The Tenth Internatinal Cnference n Mbile Ubiquitus Cmputing, Systems, Services and Technlgies (UBICOMM 2016) Octber 9-13, 2016, Venice, Italy

3 Petrzavdsk State University Department f Cmputer Science Dmitry G. Krzun The Internet f Everything fr Smart Museums: Making Cultural Heritage Knwledge Usable and Creatable by Visitrs and Prfessinals Panel n UBICOMM / EMERGING The Internet f Everything: Challenges f Web f Things in Smart Cities NexTech 2016, Octber 9 13, 2016 Venice, Italy UBICOMM Dmitry Krzun 1 / 6

4 The Internet f Everything fr Smart Museums Making Cultural Heritage Knwledge Usable and Creatable by Visitrs and Prfessinals Ideas n the use f emerging IE capabilities fr creating smart museums Visitrs and prfessinals perate and cperate in ne cultural space, interact with surrunding exhibits, interpret lcal and glbal infrmatin abut the exhibits, cllabratively prduce new knwledge fr self-study. UBICOMM Dmitry Krzun 2 / 6

5 Infrmatin Services Prvided infrmatin (nt data) is meaningful in a such a way that it can be interpretable by the user in accrdance with the user s needs and current situatin. Prvided infrmatin is subject t apprpriate expsitin (visualizatin) aiming at effective perceptin and interpretatin by the user. Prvided infrmatin is a result f search and reasning ver the multiple infrmatin surces. Prvided infrmatin includes explicit representatin f the semantics. Prvided infrmatin acts as assistance r recmmendatin. UBICOMM Dmitry Krzun 3 / 6

6 Classes/Layers fr Museum Services 1 Descriptin f exhibits is delegated t the exhibits themselves, i.e., explanatry infrmatin expanses frm a centralized infrmatin system t the edges. 2 Exhibits are transfrmed int IT smart bjects. In additin t the advanced self-explanatry functin they are able t cmplement their lcal knwledge with Internet resurces, including web services and scial netwrking activity. 3 Infrmatin abut exhibits and ther surces f histrical data are semantically enriched and integrated. This semantically integrated crpus f histrical knwledge is applied fr learning (visitrs), expsitin cnstructin (museum persnnel), and histrical analysis (prfessinals). UBICOMM Dmitry Krzun 4 / 6

7 Semantics Need Effective Use UBICOMM Dmitry Krzun 5 / 6

8 Layered Functin Structure UBICOMM Dmitry Krzun 6 / 6

9 DEPARTMENT OF TELECOMMUNICATIONS AND INFORMATION PROCESSING I-KNOW BIG DATA REPRESENTATIVENESS FOR SMART CITY APPLICATIONS Ivana Semanjski / Thursday, Octber 13, 14:00 The IE: Challenges f Web f Things in Smart Cities/ Panel n UBICOMM - EMERGING

10 HUMAN MOBILITY AND URBAN DYNAMICS Urban ppulatin f the wrld has grwn rapidly frm 746 millin in 1950 t 3.9 billin in 2014 (United Natins, 2014) Urban mbility cntributes t 25% f the glbal CO 2 emissin (IEA, 2014) : : Cngestin csts nearly 100 billin Eur, r 1% f the EU's annual GDP (Eurpean Cmissin, 2007). 2

11 TRANSPORT PLANNING Iterative prcess f defining future plicies, gals, investments and designs t prepare fr future needs t mve peple and gds t destinatins TRIP TRIP MODE ROUTE GENERATION DISTRIBUTION CHOICE ASSIGNMENT 3

12 DATA COLLECTION EVOLUTION Surveys and interviews (paper/phne recrd r state travel behaviur) Travel diaries (systematically nte usually during ne full week travel behaviur details) GNSS (high reslutin spatial and tempral data ptential t vercme sme f the traditinal data cllectin disadvantages) Sensing devices 4

13 BIG DATA FOR MOBILITY STUDIES - Mbile phne data 5

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16 GETTING SMARTER 8

17 OPEN CHALLENGES representativeness f big data bridging between small data (surveys and travel diaries) and big data fr urban mbility studies innvatin and data generatin driven smart cities decisin making and planning (Plicy 2.0) enriched traditinal urban planning appraches - supprting develpment f mre efficient and equitable urban systems and many many mre... 9

18 < asst. prf. Ivana Semanjski> < Department f Intelligent Transprtatin Systems, University f Zagreb > < Department f Telecmmunicatins and Infrmatin Prcessing, Ghent University > E ivana.semanjski@ugent.be E ivana.semanjski@fpz.hr T

19 REFERENCES AND RELATED READS 11

20 Panel The Internet f Everything: Challenges f Web f Things in Smart Cities Michele Ruta Plitecnic di Bari, Bari (Italy) The Tenth Internatinal Cnference n Mbile Ubiquitus Cmputing, Systems, Services and Technlgies (UBICOMM 2016) Octber 9-13, 2016 Venice, Italy

21 Tward Wise Cities Current Cities Static and nt flexible architectures Cnstrained interperability Basic usage scenaris User-driven interactin (lw autnmicity) Smart Cities Flexible and scalable Services and resurces accessible via agent-riented framewrks Cncurrency, cperatin, negtiatin enabled amng different systems/resurce prviders Semantic-based Wise Cities Imprved interperability Rich descriptin f user/service prfiles Decentralized architecture supprting autnmus device-driven interactins Ruta et al., Frm the Physical Web t the Physical Semantic Web: knwledge discvery in the IT 10th Int. Cnf. n Mbile Ubiquitus Cmp., Systems, Services and Technlgies (UBICOMM 2016) 2 f 6

22 A multi-level challenge Apprach: multi-agent systems fr decentralized cntrl Ruta et al., Frm the Physical Web t the Physical Semantic Web: knwledge discvery in the IT 10th Int. Cnf. n Mbile Ubiquitus Cmp., Systems, Services and Technlgies (UBICOMM 2016) 3 f 6

23 The Semantic Web f Things Frm sensing t autmated decisin in pervasive cntexts S W f T Ubiquitus Knwledge Bases Inference engines Negtiatin and decisin Dynamic cllabrative infrmatin exchange Anntated data Semantic-enhanced wireless technlgies Everything Ruta et al., Frm the Physical Web t the Physical Semantic Web: knwledge discvery in the IT 10th Int. Cnf. n Mbile Ubiquitus Cmp., Systems, Services and Technlgies (UBICOMM 2016) 4 f 6

24 SWT: technlgies f A. Integrating knwledge representatin in standard wireless cmmunicatin prtcls Bluetth Radi Frequency IDentificatin (RFID) ZigBee Wi-Fi (IEEE ) EIB/KNX (Knnex) CAP OBD-II (On-Bard Diagnstics) Physical Web B. Optimized inference engines fr resurce-cnstrained cmputing platfrms Mbile devices: Andrid, ios Embedded and single-bard cmputers: Raspberry Pi, Intel Edisn, Arduin, UDOO Knwledge-based rbts: drnes, rvers S W T Ruta et al., Frm the Physical Web t the Physical Semantic Web: knwledge discvery in the IT 10th Int. Cnf. n Mbile Ubiquitus Cmp., Systems, Services and Technlgies (UBICOMM 2016) 5 f 6

25 Cntact Prf. Michele Ruta Infrmatin Systems Labratry Plitecnic di Bari, Italy KNX Assciatin Scientific Partner Tel.: Persnal Webpage: Prjects Webpage: Github repsitry: github.cm/sisinflab-swt Ruta et al., Frm the Physical Web t the Physical Semantic Web: knwledge discvery in the IT 10th Int. Cnf. n Mbile Ubiquitus Cmp., Systems, Services and Technlgies (UBICOMM 2016) 6 f 6