SlideShare a Scribd company logo
1 of 16
Download to read offline
A Hybrid and Semantic Location
Management System for Mobile User
     Generated Geo Services
                Christian Guggenmos
            christian.guggenmos@deusto.es
           Mobility Research Lab, DeustoTech
           University of Deusto, Bilbao, Spain


            SPACE APPLI  Personal Mobility
Toulouse Space Show, Thursday, June 10th 2010, Toulouse
Objectives   Architecture       HS-LMS   Conclusion

            Table of Contents


    MUGGES introduction / objectives
    Mugglets and Use Case
    Architecture
    Location Management System
    Conclusion



C. Guggenmos: A Hybrid and Semantic LMS for MUGGES               2 / 16
Objectives   Architecture       HS-LMS   Conclusion

            Introduction to MUGGES
 Mobile UserGenerated Geo Services
    Mobile services are directly accessed, created,
     and launched from mobile devices
    UserGenerated users create content and type
     of services
    Geo Services always connected to a location




C. Guggenmos: A Hybrid and Semantic LMS for MUGGES               3 / 16
Objectives   Architecture       HS-LMS     Conclusion

            MUGGES objectives
 Beyond usergenerated contents
        Users act as consumer, producer, and provider
        From their mobile devices

         Consumer                                    Producer

                                Super
                              Prosumer

          Provider                                   Mobile

C. Guggenmos: A Hybrid and Semantic LMS for MUGGES                 4 / 16
Objectives   Architecture       HS-LMS   Conclusion

             Mugglets
 MUGGES micro-applications
        Sharply focused applications
        Instantaneously available
        Short-term, i.e. up-to-date information
        Every user is potential creator and
         provider (“prosumer”)
        From mobile to mobile
        Location-based




C. Guggenmos: A Hybrid and Semantic LMS for MUGGES               5 / 16
Objectives   Architecture       HS-LMS   Conclusion

            Use Case
    Jack comes to the Toulouse Space
     Show
    Long and interesting day
    A “muggesNote” indicates a good
     restaurant close to the conference
     center
    Jack meets colleagues from the
     talks and has a good dinner
    Creates muggesNotes
     recommending the steak
C. Guggenmos: A Hybrid and Semantic LMS for MUGGES               6 / 16
Objectives   Architecture            HS-LMS                Conclusion

            Prosumer Triangle
    Information flow                                                 MUGGES
     directly between                                                  server
     mobile devices
    Infrastructure to
                                       Search & instantiate
        Enable search                     templates
                                                                                Update location


                                                                      Search mugglets
        Provide Mugglet                         Update location

         templates                                           mugglets
                                                       (exchange information)

        Manage location
                                        Provider                                Consumer




C. Guggenmos: A Hybrid and Semantic LMS for MUGGES                                    7 / 16
Objectives   Architecture      HS-LMS   Conclusion

             Location Problem
    Location has many facets
        “Toulouse, France”, “Room 312”
        “Next to the church”
        “Latitude 43.604, longitude 1.443”

    Several location mechanisms
        GPS / Galileo
        Cell tower or Wi-Fi network ids
        Text input


C. Guggenmos: A Hybrid and Semantic LMS for MUGGES               8 / 16
Objectives   Architecture       HS-LMS   Conclusion

            MUGGES Location
    Combination of location attributes
        Physical (coordinates [43.604, 1.443])
        Symbolic (“Toulouse”, “Room 312”)
        Semantic (“next to the church”)
    Unique location




C. Guggenmos: A Hybrid and Semantic LMS for MUGGES               9 / 16
Objectives                  Architecture                    HS-LMS          Conclusion

                   Location Server
                                              Mugglet 1
              Mugglet 3                     “muggesNote”                       Mugglet 2
            “muggesTrail”                                                    “muggesNote”

 Provider                                                                             Consumer
               GPS
              Wi-Fi                    MUGGES Location                               Wi-Fi
            Bluetooth                   http://mugges-fp7.org/                      Cell-ID
                                           location/124531

                                       coor-
                                                     symbolic
                                      dinates

                                            semantics
       Map GPS to                                                           Map Wi-Fi+Cell-ID to
     MUGGES Location                                                         MUGGES Location


                                                                 Barcode
      Browse
                             GPS                                  Matrix                Wi-Fi
     Location
     Hierarchy
                            Galileo                               Code                 Cell-ID                   Geonames
                                                                  RFID...                                       Google Maps
                        precise mapping                   exact mapping
                                                                                                                Yahoo Maps
    manual mapping                                                             coarse mapping
                                                                                                    external   OpenStreetMap
                                                                            Location Data           services         ...

                                        MUGGES
                                      Location Server

C. Guggenmos: A Hybrid and Semantic LMS for MUGGES                                                                    10 / 16
Objectives   Architecture       HS-LMS   Conclusion

            Location Server


    Transparent mapping of locations
    Consistent location concept between
     Mugglets
    Translation between different location
     aspects
    Mapping service


C. Guggenmos: A Hybrid and Semantic LMS for MUGGES              11 / 16
Objectives        Architecture        HS-LMS          Conclusion

               Location ontologies

               P:isParentOf                                 A:isParentOf

    MUGGES                    MUGGES             MUGGES                    MUGGES
    Location                  Location           Location                  Location
               P:isChildOf                                  A:isChildOf

       Political Ontology                        Administrative Ontology
                                         G:contains

                       MUGGES                            MUGGES
                       Location          G:isNearTo
                                                         Location

                                     G:isContainedIn

                               Geographic Ontology

C. Guggenmos: A Hybrid and Semantic LMS for MUGGES                              12 / 16
Objectives            Architecture          HS-LMS             Conclusion

                  Location relations
                                                    University
                               A:isParentOf         of Deusto        A:isParentOf

              G:contains                                                            G:contains

                            Campus of               A:isParentOf
  Bilbao                                                                Campus of San                 San
                              Bilbao                                      Sebastian                Sebastian
             P:isParentOf                                                           P:isParentOf
                            G:contains
                                                    DeustoTech


  Mugglet                    MoreLab           A:isParentOf
                                                                              Mugglet
  “Talk 1”
                                                                              “Talk 2”
                  G:contains           G:contains



           Room 123         isNearTo         Room 321



C. Guggenmos: A Hybrid and Semantic LMS for MUGGES                                                  13 / 16
Objectives   Architecture       HS-LMS   Conclusion

             Benefits
    Better search capabilities
        Mugglets in child show up in parent
        Different ontologies cover different types of locations
         (e.g. touristic places)

    Reasoning to add attributes
        Missing coordinates taken from parent location
        Closeness relation based on sibling feature




C. Guggenmos: A Hybrid and Semantic LMS for MUGGES              14 / 16
Objectives         Architecture               HS-LMS        Conclusion

              Related Projects and Activities
    Long term programme on the “super-prosumer”
     concept (2006-2012)
    MUGGES user trial in July/September 2010

                                                 +Ideas

         (PSE 2006/07

                                            (Cénit, 2008)
    Basic                                                                   New R&D Activities
  Research                                                                    (FP7, others)
                        (FP7, ICT)                          (ITEA2, 2009)


                                                                  (+New activities:
                                     (FP7, GALILEO)                 trials, demos,      Market
                                                                         etc.)          impact



C. Guggenmos: A Hybrid and Semantic LMS for MUGGES                                      15 / 16
Objectives   Architecture       HS-LMS   Conclusion

            Summary
    Super-Prosumer concept
        Mobile consumer, producer, provider

    Mugglets are focused on specific groups
        Immediately available, short-term
        Up-to-date information

    MUGGES Location
        Hybrid location model
        Consistent concept of “location”
        Reasoning between locations

C. Guggenmos: A Hybrid and Semantic LMS for MUGGES              16 / 16

More Related Content

Similar to Hybrid Semantic Location Management MUGGES Mobile Services

IEEE 2014 DOTNET DATA MINING PROJECTS Anonymous query processing in road netw...
IEEE 2014 DOTNET DATA MINING PROJECTS Anonymous query processing in road netw...IEEE 2014 DOTNET DATA MINING PROJECTS Anonymous query processing in road netw...
IEEE 2014 DOTNET DATA MINING PROJECTS Anonymous query processing in road netw...IEEEMEMTECHSTUDENTPROJECTS
 
2014 IEEE DOTNET DATA MINING PROJECT Anonymous query processing in road networks
2014 IEEE DOTNET DATA MINING PROJECT Anonymous query processing in road networks2014 IEEE DOTNET DATA MINING PROJECT Anonymous query processing in road networks
2014 IEEE DOTNET DATA MINING PROJECT Anonymous query processing in road networksIEEEMEMTECHSTUDENTSPROJECTS
 
An Enhanced Framework for Improving Spatio-Temporal Queries for Global Positi...
An Enhanced Framework for Improving Spatio-Temporal Queries for Global Positi...An Enhanced Framework for Improving Spatio-Temporal Queries for Global Positi...
An Enhanced Framework for Improving Spatio-Temporal Queries for Global Positi...IJORCS
 
Location guru product and solution
Location guru product and solutionLocation guru product and solution
Location guru product and solutionShilkumar Patil
 
Ubiquitous Positioning: A Taxonomy for Location Determination on Mobile Navig...
Ubiquitous Positioning: A Taxonomy for Location Determination on Mobile Navig...Ubiquitous Positioning: A Taxonomy for Location Determination on Mobile Navig...
Ubiquitous Positioning: A Taxonomy for Location Determination on Mobile Navig...sipij
 
A genetic based indoor positioning algorithm using Wi-Fi received signal stre...
A genetic based indoor positioning algorithm using Wi-Fi received signal stre...A genetic based indoor positioning algorithm using Wi-Fi received signal stre...
A genetic based indoor positioning algorithm using Wi-Fi received signal stre...IAESIJAI
 
Hybrid Positioning
Hybrid PositioningHybrid Positioning
Hybrid Positioningspirentgnss
 
Kaijen Hsiao at AI Frontiers: Adorable Intelligence
Kaijen Hsiao at AI Frontiers: Adorable IntelligenceKaijen Hsiao at AI Frontiers: Adorable Intelligence
Kaijen Hsiao at AI Frontiers: Adorable IntelligenceAI Frontiers
 
Next Generation Positioning T181063, ETE, IIUC
Next Generation Positioning T181063, ETE, IIUCNext Generation Positioning T181063, ETE, IIUC
Next Generation Positioning T181063, ETE, IIUCchaaderchayaa69
 
Mobile gaming 2009 an abstract location model
Mobile gaming 2009   an abstract location modelMobile gaming 2009   an abstract location model
Mobile gaming 2009 an abstract location modelLeif Oppermann
 
Location-aware desktop
Location-aware desktopLocation-aware desktop
Location-aware desktopHenri Bergius
 
Geolocation in Drupal
Geolocation in DrupalGeolocation in Drupal
Geolocation in DrupalMediacurrent
 
3D context-aware mobile maps for tourism - ENTER2011 PhD Workshop
3D context-aware mobile maps for tourism - ENTER2011 PhD Workshop3D context-aware mobile maps for tourism - ENTER2011 PhD Workshop
3D context-aware mobile maps for tourism - ENTER2011 PhD WorkshopZornitza Yovcheva
 

Similar to Hybrid Semantic Location Management MUGGES Mobile Services (20)

ENTER 2004 paper
ENTER 2004 paperENTER 2004 paper
ENTER 2004 paper
 
IEEE 2014 DOTNET DATA MINING PROJECTS Anonymous query processing in road netw...
IEEE 2014 DOTNET DATA MINING PROJECTS Anonymous query processing in road netw...IEEE 2014 DOTNET DATA MINING PROJECTS Anonymous query processing in road netw...
IEEE 2014 DOTNET DATA MINING PROJECTS Anonymous query processing in road netw...
 
2014 IEEE DOTNET DATA MINING PROJECT Anonymous query processing in road networks
2014 IEEE DOTNET DATA MINING PROJECT Anonymous query processing in road networks2014 IEEE DOTNET DATA MINING PROJECT Anonymous query processing in road networks
2014 IEEE DOTNET DATA MINING PROJECT Anonymous query processing in road networks
 
Flexible And Usable Web Gis For The Organisation Opt
Flexible And Usable Web Gis For The Organisation OptFlexible And Usable Web Gis For The Organisation Opt
Flexible And Usable Web Gis For The Organisation Opt
 
10.1.1.18.9543
10.1.1.18.954310.1.1.18.9543
10.1.1.18.9543
 
Geoeverything
GeoeverythingGeoeverything
Geoeverything
 
An Enhanced Framework for Improving Spatio-Temporal Queries for Global Positi...
An Enhanced Framework for Improving Spatio-Temporal Queries for Global Positi...An Enhanced Framework for Improving Spatio-Temporal Queries for Global Positi...
An Enhanced Framework for Improving Spatio-Temporal Queries for Global Positi...
 
Location guru product and solution
Location guru product and solutionLocation guru product and solution
Location guru product and solution
 
Ubiquitous Positioning: A Taxonomy for Location Determination on Mobile Navig...
Ubiquitous Positioning: A Taxonomy for Location Determination on Mobile Navig...Ubiquitous Positioning: A Taxonomy for Location Determination on Mobile Navig...
Ubiquitous Positioning: A Taxonomy for Location Determination on Mobile Navig...
 
A genetic based indoor positioning algorithm using Wi-Fi received signal stre...
A genetic based indoor positioning algorithm using Wi-Fi received signal stre...A genetic based indoor positioning algorithm using Wi-Fi received signal stre...
A genetic based indoor positioning algorithm using Wi-Fi received signal stre...
 
LUCID demonstrator: FIZ GPS trail
LUCID demonstrator: FIZ GPS trailLUCID demonstrator: FIZ GPS trail
LUCID demonstrator: FIZ GPS trail
 
Hybrid Positioning
Hybrid PositioningHybrid Positioning
Hybrid Positioning
 
Kaijen Hsiao at AI Frontiers: Adorable Intelligence
Kaijen Hsiao at AI Frontiers: Adorable IntelligenceKaijen Hsiao at AI Frontiers: Adorable Intelligence
Kaijen Hsiao at AI Frontiers: Adorable Intelligence
 
azd document
azd documentazd document
azd document
 
Next Generation Positioning T181063, ETE, IIUC
Next Generation Positioning T181063, ETE, IIUCNext Generation Positioning T181063, ETE, IIUC
Next Generation Positioning T181063, ETE, IIUC
 
Mobile gaming 2009 an abstract location model
Mobile gaming 2009   an abstract location modelMobile gaming 2009   an abstract location model
Mobile gaming 2009 an abstract location model
 
2015 crs4-seminar-massive-models-full
2015 crs4-seminar-massive-models-full2015 crs4-seminar-massive-models-full
2015 crs4-seminar-massive-models-full
 
Location-aware desktop
Location-aware desktopLocation-aware desktop
Location-aware desktop
 
Geolocation in Drupal
Geolocation in DrupalGeolocation in Drupal
Geolocation in Drupal
 
3D context-aware mobile maps for tourism - ENTER2011 PhD Workshop
3D context-aware mobile maps for tourism - ENTER2011 PhD Workshop3D context-aware mobile maps for tourism - ENTER2011 PhD Workshop
3D context-aware mobile maps for tourism - ENTER2011 PhD Workshop
 

More from MoreLab

Elder care iwaal
Elder care iwaalElder care iwaal
Elder care iwaalMoreLab
 
A Hybrid and Semantic Location Management System for Mobile User Generated Ge...
A Hybrid and Semantic Location Management System for Mobile User Generated Ge...A Hybrid and Semantic Location Management System for Mobile User Generated Ge...
A Hybrid and Semantic Location Management System for Mobile User Generated Ge...MoreLab
 
Elder care icost2010
Elder care icost2010Elder care icost2010
Elder care icost2010MoreLab
 
Taller Rich Internet Application
Taller Rich Internet ApplicationTaller Rich Internet Application
Taller Rich Internet ApplicationMoreLab
 
Intro Python
Intro PythonIntro Python
Intro PythonMoreLab
 
Curso AOP
Curso AOPCurso AOP
Curso AOPMoreLab
 

More from MoreLab (6)

Elder care iwaal
Elder care iwaalElder care iwaal
Elder care iwaal
 
A Hybrid and Semantic Location Management System for Mobile User Generated Ge...
A Hybrid and Semantic Location Management System for Mobile User Generated Ge...A Hybrid and Semantic Location Management System for Mobile User Generated Ge...
A Hybrid and Semantic Location Management System for Mobile User Generated Ge...
 
Elder care icost2010
Elder care icost2010Elder care icost2010
Elder care icost2010
 
Taller Rich Internet Application
Taller Rich Internet ApplicationTaller Rich Internet Application
Taller Rich Internet Application
 
Intro Python
Intro PythonIntro Python
Intro Python
 
Curso AOP
Curso AOPCurso AOP
Curso AOP
 

Recently uploaded

Leverage Zilliz Serverless - Up to 50X Saving for Your Vector Storage Cost
Leverage Zilliz Serverless - Up to 50X Saving for Your Vector Storage CostLeverage Zilliz Serverless - Up to 50X Saving for Your Vector Storage Cost
Leverage Zilliz Serverless - Up to 50X Saving for Your Vector Storage CostZilliz
 
Powerpoint exploring the locations used in television show Time Clash
Powerpoint exploring the locations used in television show Time ClashPowerpoint exploring the locations used in television show Time Clash
Powerpoint exploring the locations used in television show Time Clashcharlottematthew16
 
CloudStudio User manual (basic edition):
CloudStudio User manual (basic edition):CloudStudio User manual (basic edition):
CloudStudio User manual (basic edition):comworks
 
Hyperautomation and AI/ML: A Strategy for Digital Transformation Success.pdf
Hyperautomation and AI/ML: A Strategy for Digital Transformation Success.pdfHyperautomation and AI/ML: A Strategy for Digital Transformation Success.pdf
Hyperautomation and AI/ML: A Strategy for Digital Transformation Success.pdfPrecisely
 
WordPress Websites for Engineers: Elevate Your Brand
WordPress Websites for Engineers: Elevate Your BrandWordPress Websites for Engineers: Elevate Your Brand
WordPress Websites for Engineers: Elevate Your Brandgvaughan
 
Anypoint Exchange: It’s Not Just a Repo!
Anypoint Exchange: It’s Not Just a Repo!Anypoint Exchange: It’s Not Just a Repo!
Anypoint Exchange: It’s Not Just a Repo!Manik S Magar
 
Transcript: New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024
Transcript: New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024Transcript: New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024
Transcript: New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024BookNet Canada
 
SIP trunking in Janus @ Kamailio World 2024
SIP trunking in Janus @ Kamailio World 2024SIP trunking in Janus @ Kamailio World 2024
SIP trunking in Janus @ Kamailio World 2024Lorenzo Miniero
 
Search Engine Optimization SEO PDF for 2024.pdf
Search Engine Optimization SEO PDF for 2024.pdfSearch Engine Optimization SEO PDF for 2024.pdf
Search Engine Optimization SEO PDF for 2024.pdfRankYa
 
Dev Dives: Streamline document processing with UiPath Studio Web
Dev Dives: Streamline document processing with UiPath Studio WebDev Dives: Streamline document processing with UiPath Studio Web
Dev Dives: Streamline document processing with UiPath Studio WebUiPathCommunity
 
"Debugging python applications inside k8s environment", Andrii Soldatenko
"Debugging python applications inside k8s environment", Andrii Soldatenko"Debugging python applications inside k8s environment", Andrii Soldatenko
"Debugging python applications inside k8s environment", Andrii SoldatenkoFwdays
 
Tampa BSides - Chef's Tour of Microsoft Security Adoption Framework (SAF)
Tampa BSides - Chef's Tour of Microsoft Security Adoption Framework (SAF)Tampa BSides - Chef's Tour of Microsoft Security Adoption Framework (SAF)
Tampa BSides - Chef's Tour of Microsoft Security Adoption Framework (SAF)Mark Simos
 
Gen AI in Business - Global Trends Report 2024.pdf
Gen AI in Business - Global Trends Report 2024.pdfGen AI in Business - Global Trends Report 2024.pdf
Gen AI in Business - Global Trends Report 2024.pdfAddepto
 
TeamStation AI System Report LATAM IT Salaries 2024
TeamStation AI System Report LATAM IT Salaries 2024TeamStation AI System Report LATAM IT Salaries 2024
TeamStation AI System Report LATAM IT Salaries 2024Lonnie McRorey
 
How to write a Business Continuity Plan
How to write a Business Continuity PlanHow to write a Business Continuity Plan
How to write a Business Continuity PlanDatabarracks
 
New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024
New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024
New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024BookNet Canada
 
Ensuring Technical Readiness For Copilot in Microsoft 365
Ensuring Technical Readiness For Copilot in Microsoft 365Ensuring Technical Readiness For Copilot in Microsoft 365
Ensuring Technical Readiness For Copilot in Microsoft 3652toLead Limited
 
Advanced Computer Architecture – An Introduction
Advanced Computer Architecture – An IntroductionAdvanced Computer Architecture – An Introduction
Advanced Computer Architecture – An IntroductionDilum Bandara
 
Designing IA for AI - Information Architecture Conference 2024
Designing IA for AI - Information Architecture Conference 2024Designing IA for AI - Information Architecture Conference 2024
Designing IA for AI - Information Architecture Conference 2024Enterprise Knowledge
 

Recently uploaded (20)

Leverage Zilliz Serverless - Up to 50X Saving for Your Vector Storage Cost
Leverage Zilliz Serverless - Up to 50X Saving for Your Vector Storage CostLeverage Zilliz Serverless - Up to 50X Saving for Your Vector Storage Cost
Leverage Zilliz Serverless - Up to 50X Saving for Your Vector Storage Cost
 
Powerpoint exploring the locations used in television show Time Clash
Powerpoint exploring the locations used in television show Time ClashPowerpoint exploring the locations used in television show Time Clash
Powerpoint exploring the locations used in television show Time Clash
 
CloudStudio User manual (basic edition):
CloudStudio User manual (basic edition):CloudStudio User manual (basic edition):
CloudStudio User manual (basic edition):
 
Hyperautomation and AI/ML: A Strategy for Digital Transformation Success.pdf
Hyperautomation and AI/ML: A Strategy for Digital Transformation Success.pdfHyperautomation and AI/ML: A Strategy for Digital Transformation Success.pdf
Hyperautomation and AI/ML: A Strategy for Digital Transformation Success.pdf
 
WordPress Websites for Engineers: Elevate Your Brand
WordPress Websites for Engineers: Elevate Your BrandWordPress Websites for Engineers: Elevate Your Brand
WordPress Websites for Engineers: Elevate Your Brand
 
Anypoint Exchange: It’s Not Just a Repo!
Anypoint Exchange: It’s Not Just a Repo!Anypoint Exchange: It’s Not Just a Repo!
Anypoint Exchange: It’s Not Just a Repo!
 
Transcript: New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024
Transcript: New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024Transcript: New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024
Transcript: New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024
 
SIP trunking in Janus @ Kamailio World 2024
SIP trunking in Janus @ Kamailio World 2024SIP trunking in Janus @ Kamailio World 2024
SIP trunking in Janus @ Kamailio World 2024
 
Search Engine Optimization SEO PDF for 2024.pdf
Search Engine Optimization SEO PDF for 2024.pdfSearch Engine Optimization SEO PDF for 2024.pdf
Search Engine Optimization SEO PDF for 2024.pdf
 
Dev Dives: Streamline document processing with UiPath Studio Web
Dev Dives: Streamline document processing with UiPath Studio WebDev Dives: Streamline document processing with UiPath Studio Web
Dev Dives: Streamline document processing with UiPath Studio Web
 
"Debugging python applications inside k8s environment", Andrii Soldatenko
"Debugging python applications inside k8s environment", Andrii Soldatenko"Debugging python applications inside k8s environment", Andrii Soldatenko
"Debugging python applications inside k8s environment", Andrii Soldatenko
 
Tampa BSides - Chef's Tour of Microsoft Security Adoption Framework (SAF)
Tampa BSides - Chef's Tour of Microsoft Security Adoption Framework (SAF)Tampa BSides - Chef's Tour of Microsoft Security Adoption Framework (SAF)
Tampa BSides - Chef's Tour of Microsoft Security Adoption Framework (SAF)
 
Gen AI in Business - Global Trends Report 2024.pdf
Gen AI in Business - Global Trends Report 2024.pdfGen AI in Business - Global Trends Report 2024.pdf
Gen AI in Business - Global Trends Report 2024.pdf
 
TeamStation AI System Report LATAM IT Salaries 2024
TeamStation AI System Report LATAM IT Salaries 2024TeamStation AI System Report LATAM IT Salaries 2024
TeamStation AI System Report LATAM IT Salaries 2024
 
How to write a Business Continuity Plan
How to write a Business Continuity PlanHow to write a Business Continuity Plan
How to write a Business Continuity Plan
 
New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024
New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024
New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024
 
DMCC Future of Trade Web3 - Special Edition
DMCC Future of Trade Web3 - Special EditionDMCC Future of Trade Web3 - Special Edition
DMCC Future of Trade Web3 - Special Edition
 
Ensuring Technical Readiness For Copilot in Microsoft 365
Ensuring Technical Readiness For Copilot in Microsoft 365Ensuring Technical Readiness For Copilot in Microsoft 365
Ensuring Technical Readiness For Copilot in Microsoft 365
 
Advanced Computer Architecture – An Introduction
Advanced Computer Architecture – An IntroductionAdvanced Computer Architecture – An Introduction
Advanced Computer Architecture – An Introduction
 
Designing IA for AI - Information Architecture Conference 2024
Designing IA for AI - Information Architecture Conference 2024Designing IA for AI - Information Architecture Conference 2024
Designing IA for AI - Information Architecture Conference 2024
 

Hybrid Semantic Location Management MUGGES Mobile Services

  • 1. A Hybrid and Semantic Location Management System for Mobile User Generated Geo Services Christian Guggenmos christian.guggenmos@deusto.es Mobility Research Lab, DeustoTech University of Deusto, Bilbao, Spain SPACE APPLI  Personal Mobility Toulouse Space Show, Thursday, June 10th 2010, Toulouse
  • 2. Objectives Architecture HS-LMS Conclusion Table of Contents  MUGGES introduction / objectives  Mugglets and Use Case  Architecture  Location Management System  Conclusion C. Guggenmos: A Hybrid and Semantic LMS for MUGGES 2 / 16
  • 3. Objectives Architecture HS-LMS Conclusion Introduction to MUGGES Mobile UserGenerated Geo Services  Mobile services are directly accessed, created, and launched from mobile devices  UserGenerated users create content and type of services  Geo Services always connected to a location C. Guggenmos: A Hybrid and Semantic LMS for MUGGES 3 / 16
  • 4. Objectives Architecture HS-LMS Conclusion MUGGES objectives Beyond usergenerated contents  Users act as consumer, producer, and provider  From their mobile devices Consumer Producer Super Prosumer Provider Mobile C. Guggenmos: A Hybrid and Semantic LMS for MUGGES 4 / 16
  • 5. Objectives Architecture HS-LMS Conclusion Mugglets MUGGES micro-applications  Sharply focused applications  Instantaneously available  Short-term, i.e. up-to-date information  Every user is potential creator and provider (“prosumer”)  From mobile to mobile  Location-based C. Guggenmos: A Hybrid and Semantic LMS for MUGGES 5 / 16
  • 6. Objectives Architecture HS-LMS Conclusion Use Case  Jack comes to the Toulouse Space Show  Long and interesting day  A “muggesNote” indicates a good restaurant close to the conference center  Jack meets colleagues from the talks and has a good dinner  Creates muggesNotes recommending the steak C. Guggenmos: A Hybrid and Semantic LMS for MUGGES 6 / 16
  • 7. Objectives Architecture HS-LMS Conclusion Prosumer Triangle  Information flow MUGGES directly between server mobile devices  Infrastructure to Search & instantiate  Enable search templates Update location Search mugglets  Provide Mugglet Update location templates mugglets (exchange information)  Manage location Provider Consumer C. Guggenmos: A Hybrid and Semantic LMS for MUGGES 7 / 16
  • 8. Objectives Architecture HS-LMS Conclusion Location Problem  Location has many facets  “Toulouse, France”, “Room 312”  “Next to the church”  “Latitude 43.604, longitude 1.443”  Several location mechanisms  GPS / Galileo  Cell tower or Wi-Fi network ids  Text input C. Guggenmos: A Hybrid and Semantic LMS for MUGGES 8 / 16
  • 9. Objectives Architecture HS-LMS Conclusion MUGGES Location  Combination of location attributes  Physical (coordinates [43.604, 1.443])  Symbolic (“Toulouse”, “Room 312”)  Semantic (“next to the church”)  Unique location C. Guggenmos: A Hybrid and Semantic LMS for MUGGES 9 / 16
  • 10. Objectives Architecture HS-LMS Conclusion Location Server Mugglet 1 Mugglet 3 “muggesNote” Mugglet 2 “muggesTrail” “muggesNote” Provider Consumer GPS Wi-Fi MUGGES Location Wi-Fi Bluetooth http://mugges-fp7.org/ Cell-ID location/124531 coor- symbolic dinates semantics Map GPS to Map Wi-Fi+Cell-ID to MUGGES Location MUGGES Location Barcode Browse GPS Matrix Wi-Fi Location Hierarchy Galileo Code Cell-ID Geonames RFID... Google Maps precise mapping exact mapping Yahoo Maps manual mapping coarse mapping external OpenStreetMap Location Data services ... MUGGES Location Server C. Guggenmos: A Hybrid and Semantic LMS for MUGGES 10 / 16
  • 11. Objectives Architecture HS-LMS Conclusion Location Server  Transparent mapping of locations  Consistent location concept between Mugglets  Translation between different location aspects  Mapping service C. Guggenmos: A Hybrid and Semantic LMS for MUGGES 11 / 16
  • 12. Objectives Architecture HS-LMS Conclusion Location ontologies P:isParentOf A:isParentOf MUGGES MUGGES MUGGES MUGGES Location Location Location Location P:isChildOf A:isChildOf Political Ontology Administrative Ontology G:contains MUGGES MUGGES Location G:isNearTo Location G:isContainedIn Geographic Ontology C. Guggenmos: A Hybrid and Semantic LMS for MUGGES 12 / 16
  • 13. Objectives Architecture HS-LMS Conclusion Location relations University A:isParentOf of Deusto A:isParentOf G:contains G:contains Campus of A:isParentOf Bilbao Campus of San San Bilbao Sebastian Sebastian P:isParentOf P:isParentOf G:contains DeustoTech Mugglet MoreLab A:isParentOf Mugglet “Talk 1” “Talk 2” G:contains G:contains Room 123 isNearTo Room 321 C. Guggenmos: A Hybrid and Semantic LMS for MUGGES 13 / 16
  • 14. Objectives Architecture HS-LMS Conclusion Benefits  Better search capabilities  Mugglets in child show up in parent  Different ontologies cover different types of locations (e.g. touristic places)  Reasoning to add attributes  Missing coordinates taken from parent location  Closeness relation based on sibling feature C. Guggenmos: A Hybrid and Semantic LMS for MUGGES 14 / 16
  • 15. Objectives Architecture HS-LMS Conclusion Related Projects and Activities  Long term programme on the “super-prosumer” concept (2006-2012)  MUGGES user trial in July/September 2010 +Ideas (PSE 2006/07 (Cénit, 2008) Basic New R&D Activities Research (FP7, others) (FP7, ICT) (ITEA2, 2009) (+New activities: (FP7, GALILEO) trials, demos, Market etc.) impact C. Guggenmos: A Hybrid and Semantic LMS for MUGGES 15 / 16
  • 16. Objectives Architecture HS-LMS Conclusion Summary  Super-Prosumer concept  Mobile consumer, producer, provider  Mugglets are focused on specific groups  Immediately available, short-term  Up-to-date information  MUGGES Location  Hybrid location model  Consistent concept of “location”  Reasoning between locations C. Guggenmos: A Hybrid and Semantic LMS for MUGGES 16 / 16