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فایل ارائه حاضر توسط مرکز تحقیقات فناوری "اینترنت اشیا" ایران

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Presentation on theme: "فایل ارائه حاضر توسط مرکز تحقیقات فناوری "اینترنت اشیا" ایران"— Presentation transcript:

1 فایل ارائه حاضر توسط مرکز تحقیقات فناوری "اینترنت اشیا" ایران
جهت استفاده علمی در سایت قرار داده شده است. لازم به ذکر است کپی این مطلب با درج »مرکز تحقیقات اینترنت اشیا ایران «بلامانع است.

2 Integrating Social Sensors in IoT applications for Smart Cities
Mobile Crowdsensing, Social and Big Data as Innovation Enablers for Future Internet Cloud-based Architectures and Services Integrating Social Sensors in IoT applications for Smart Cities John Soldatos, Associate Professor Athens Information Technology Athens - March 13, 2014

3 IoT Internet-of-Things Blend into Business and Social Processes
Physical & Virtual Objects Uniquely Identifiable Objects Blend into Business and Social Processes Interoperable Protocols

4 IoT Sensors (Data Sources) and Actuators (Services)
IoT process data streams (Physical & Virtual Sensors) Cameras Microphones LIDAR Radar Energy Meter Image Sensors RFID / Barcode Reader A/V Processing Algorithms Manual Count / Human Sensor IoT invokes actuating services Motion Controller Relays Lights On/Off Trigger Alarms Start/Stop Device Invoke Notification Services Execute workflows Computers - Web Services

5 «Social» Sensors Types of «Social» Sensors Sentiment Analysis
Topic-based Community Tracking Event Detection Opinion Mining More... «Social» Sensors Applications Political Science Market Research Financial Services Branding Crisis Management Law Enforcement

6 Citizens as «Social» Sensors
Citizens can act as sensors to connect with governments and help the latter understand their wishes and needs Technologies GIS Applications Web and Mobile Apps Typical Use Cases Incident Reporting Suggestions & Comments Use of Social Media Tweet to government Access/post in Facebook pages etc.

7 IoT architectures deal with the proliferating «Social» Sensors
IoT and Social Media Social Media provide millions of insights on human activity and behaviour during emergencies and security incidents Examples: London Riots (Twitter), Egypt (Twitter/Facebook), but also «Sandy» Storm (20M Tweets, 10 Instagram photos / sec) Relevant Technologies: Sentiment Analysis, Community Tracking, Rumour Spreading Detection,...) - Used in several industries (marketing, branding, finance...) IoT architectures and technologies support «Social» Sensors (as Virtual Sensor) IoT architectures deal with the proliferating «Social» Sensors Twitter Sentiment Analysis On-line: Twitter Map During «Sandy»

8 FP7 SMART Project Factsheet
Consortium: Atos Athens Information Technology IBM Haifa Research Lab Imperial College London Consorzio S3LOG TELESTO Technologies Ltd. (SME) University of Glasgow (Research) Prisa Digital City-of-Santander Timeframe: 01/11/ /10/2014 Project Budget: Euro EC Contribution: Euro Web Site:

9 FP7 SMART = Search Engine over Integrated Social and Sensor Networks
A/V Sensor Streams Processing Perceptive Components MultiMedia Intercepting Content from Social Networks Support for multiple social networks/media Social Fusion of Multiple Data Sour ces Reasoning over various Data Streams Intelligent Novel Indexing & Retrieval Techniques Global Deployment (incl. BigData) Scalable & Dynamic Based on Open Source Components (terrier.org) Publicly available based on an open source license Open Source

10 SMART System Overview

11 SMART Edge Nodes Edge Node: SMART Point of Presense
Provides real-time information from the city: Perceived from the environment (sensors) Filtered from social networks Retrieved from the linked data cloud Inferred by fusing the above into higher-level events

12 Searching «Social» Feeds – Smart Reduce System
Real-Time Distributed Architectures Storm + Terrier.org SmartReduce Prototype Benchmarking (Performance & Scalability)

13 SMART Applications: Live News
“What is happening now?” “Which places are crowded?”, “What are the specific trends in the city?” “Where are riots and fights happening?” Answers = Multimedia streams mixing sounds/images with textual data stemming from sensors and metadata steams (including social networks) Deployed at City of Santander

14 SMART Applications: Security & Surveillance
Detect people and/or scenes that could be considered as suspicious across certain times and urban locations Data Streams from Cameras, Mics and Social Networks Deployed at City of Santander

15 SMART Applications: Build Your Own SC Scenario
JSR 168 (Java Portlets) compliant editor Sensor and Social Sensor Driven Portlets and mashups Customized Portal Developments for Smart City Authorities Authoring tool for SMART Cities Development Deployed at Santander, Athens, Glasgow

16 Semantic Interoperability
Alternative Approach: Standardized Semantic Modelling of «Social» Sensors Semantic Interoperability Distributed and Heterogeneous Data Sources Diverse Data Streams Common Semantics Needed Solution: Semantic Annoitation (W3C Ontology) Reasoning Algorithms Intelligent Selection & Filtering of Sensors Intelligent Selection & Filtering of Sensor Data Use of Reasoners RDF/OWL Ontology (W3C SSN + Linked Data) Semantic Standards for sensors provide a uniform way for representing and reasoning over heterogeneous data streams

17 «Social» Sensors in the Cloud (OpenIoT project)
IoT in the Cloud Performance Capacity Elasticity Utility-Driven Open Source Project (

18 Conclusions Social Media Processing can provide millions of insights on people and things attitude and behaviour «Social» Sensors is a prominent Virtual Sensor in the scope of IoT applications IoT architectures make provisions for the integration of Socia Media data Semantic Interoperability of Social Media Streams is a key for their dynamic discovery and use


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