emerging ubiquitous knowledge services: from mobile sensing to ubiquitous crowdsourcing and beyond
DESCRIPTION
Emerging Ubiquitous Knowledge Services: From Mobile Sensing to Ubiquitous Crowdsourcing and Beyond. Uichin Lee, Howon Lee * , Bang Chul Jung ** , Junehwa Song *** KAIST Knowledge Service Engineering * KAIST Institute ICT * * Kyungsang University ** * KAIST Computer Science - PowerPoint PPT PresentationTRANSCRIPT
Emerging Ubiquitous Knowledge Services: From Mobile Sensing to
Ubiquitous Crowdsourcing and Beyond
Uichin Lee, Howon Lee*, Bang Chul Jung**, Junehwa Song***
KAIST Knowledge Service Engineering*KAIST Institute ICT
**Kyungsang University ***KAIST Computer Science
Oct. 11, 2011
Knowledge Service Innovation• Traditional knowledge services: mainly delivered by
experts with domain specific knowledge• Dramatic change of knowledge services due to recent
advances of ICTs (information and communication technologies) and networked collaboration among people
Smart Devices Social NetworkingWeb 2.0
Major Contributors• Human: crowdsourcing, human computation• Device: processing, sensing, networking• Network: in-network services • Application: Web 2.0, service mashup, data mining
InternetSmart home/office
On the move Applications
Content provider
Fixed access
Content
Networking
Radioaccess
Device
Network
Application
Human
CrowdsourcingHuman computation
Our focus: ubiquitous knowledge services with mobile sensing and crowdsourcing
Mobile Sensing• Sensors in smart devices
(smartphones, pads): accelerometer, magnetometer, gyroscope, light, proximity, camera, voice, GPS
• Wireless communications: Bluetooth, Wi-Fi, 3/4G
• Sensor applications:– User experience enhancement
• Resizing screen/tilt, • Gaming, augmented reality
– Mobile sensing apps: • Traffic information systems• Location-based services
Crowdsourcing• “Crowd" + “Outsourcing"
– “distributed labor networks over the Internet to exploit the spare processing power of millions of human brains” – best example, Wikipedia
• Related concepts: collaborative system, wisdom of crowd, human computation, collective intelligence, wikinomics
해결책의 폭
비용 감소
가치실현시간(Time-to-Value) 단축크라우드소싱 (Crowdsourcing)
아웃소싱 (Outsourcing)
인소싱 (insourcing)
인간계산 위키피디아소셜 Q&A ( 지식인 )노동 마켓플레이스 모바일 소셜네트워크 스마트폰을 이용한 모바일센싱
Ubiquitous Knowledge Services
Ubiquitous Knowledge Services• Goals:
– Seamlessly integrate content from various sources at large scales
• Content: data, information, knowledge• Sources: databases, grassroots (sensors, humans)
– Infrastructure dependence is minimal (compared to existing approaches)
– Also derive new values for end users in ways that the contributor of the content did not plan or imagine
교통정보수집 공동체의식제고 도시계획 현장조사 모바일 UX 테스트 연구지원 범죄수사
Examples of Ubiquitous Knowledge Services
Contents• UKS Applications
– Vehicular apps• Traffic engineering, ride quality
monitoring (cracks, potholes)– Community-awareness apps
(e.g., health and wellness)– Social sensing with Twitter
• UKS Platform Design– Unique features– UKS platform
Potholes
Air pollution (CO2)
Social networks
• Acceleration data gathering from vehicles (geo-tagged)
• Simple data processing to detect a pothole, and statistical processing (clustering) for accurate detection
Pothole Patrol
Smooth Road
Pothole
The Pothole Patrol: Using a Mobile Sensor Network for Road Surface Monitoring, Eriksson et al, MobiSys, 2008
Community Awareness: Health and Wellness
• Personal environmental impact report (PIER) on “health and wellness”
• Participants use mobile phones to gather location data and web services to aggregate and interpret the assembled information (e.g., air pollution, CO2 emission, fast food exposure)
CO2 emissions
Fast food exposure
Air pollutionexposure(PM 2.5)
Existing Infrastructure
Annotation/Inferences
Scientific Models
Activity Classificatione.g., staying, walking, driving
GIS Data Annotatione.g. weather, traffic
Impact and Exposure Calculation
Data Aggregation
Tracklog formatSchool,hospital,fast
food restaurant locations
Weather, traffic data
User profile
"Sensing Pollution without Pollution-Sensors”
PEIR, the Personal Environmental Impact Report as a Platform for Participatory Sensing Systems Research, Mun et al., Mobisys 2009
Social Sensing with Twitter
some users posts“earthquake right now!!”
some earthquake sensors
responses positive value・・・ ・・・ ・・・tweets
Probabilistic model
Classifier
observation by sensorsobservation by twitter users
target event target object
Probabilistic model
values
Event detection from twitter Object detection in ubiquitous environments
・・・・・・
search and classify them into
positive class
detect an earthquake
detect an earthquake
earthquake occurrence
Earthquake shakes Twitter users: real-time event detection by social sensors, Takeshi et al, WWW 2010
Building Ubiquitous Knowledge Service (UKS) Platform
• Research community: – ArchRock, SensorBase (UCLA), SensorMap (Microsoft), IrisNet (CMU),
and many others..• Standardization efforts:
– Semantic Web Enablement (SWE)– Semantic Sensor Web (SSW)– Machine-to-Machine (M2M) – Internet of Things (IoT), e.g, EPCglobal Network
• Essential features of UKS:– Humans are part of the systems (e.g., crowdsourcing, human
computation)• Exploiting social networks is also important
– Due to resource constraints (e.g., battery), mobile operations must be optimized, which may require service-device/-network interactions
– System should perceive the intention of a user and provide the customized knowledge services at any place and any time
Building Ubiquitous Knowledge Service (UKS) Platform
• Key components of UKS: – Smart device, knowledge gateway, knowledge server– User agents, service-device/network interactions and
optimization, content integration/negotiation
Conclusion• Knowledge service innovation with recent advances of ICT
(i.e., device, network, and application intelligences) and networked collaboration among people
• Ubiquitous knowledge services aim at (1) seamlessly integrating content from various sources at large scales, and (2) deriving new values for end users in ways that the contributor of the content did not plan or imagine
– Example services: vehicular applications (pothole detection), community awareness (health and wellness), SoundSense, event detection with Tweets
• Building a ubiquitous knowledge service (UKS) platform that can integrate grassroots knowledge (and also existing content) and dynamically generate new values to end users