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ISESs 2013 Presentation of the challenges we encountered while developing the Mobile Data Acquisition Framework (MDAF => new name is "ubicity") in ENVIROFI project. Related to "robust and trusted crowd-sourcing and crowd-tasking in the future internet" ISESs paper.
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“ENVIROfying” the Future Internet
THE ENVIRONMENTAL OBSERVATION WEBFOR THE CROSS-DOMAIN FI-PPP APPLICATIONS
Robust and trusted crowd-sourcing and crowd-tasking in the Future Internet
ISESS 2013, Oct. 09-11 2013
Denis Havlik, Maria Egly, Hermann Huber, Peter Kutschera, Markus
Falgenhauer, Markus Cizek (all AIT Austrian Institute of Technology GmbH.)
Image from: http://favim.com/image/270658/ 2
Copyright © ENVIROFI Project Consortium 3
Enviromatics meet Future Internet
Future Internet• Networking technology• Infrastructure as a Service• Internet of Things, Content,
People
INSPIRE, GMES, SISE• Geospatial• Environmental Observations• Model Web, Sensor Web, • Data Fusion, Uncertainty
ENVIROFI
FI-PPP Environmental Usage Area
• FI Requirements• Specific Enablers• Envirofied cross-area Applications
ENVIROFI Scenarios
1. Bringing Biodiversity into the Future Internet• Enabled biodiversity surveys with advanced ontologies• Analysis, quality assurance and dissemination of biodiversity data
2. Personal Information System for Air Pollutants, allergens and meteorological conditions
• Enhance human to environment interaction• Atmospheric conditions and pollution in “the palm of your hand”
3. Collaborative Usage of Marine Data Assets• Assess needs of key marine user communities• Selection of representative marine use cases for further trial:
leisure and tourism, ocean energy devices, aquaculture, oil spill alert
Copyright © 2013 ENVIROFI Project Consortium 4
Copyright © 2013 Denis Havlik, AIT Austrian Institute of Technology GmbH. 5
Challenge: human sensors
Copyright © 2013 Denis Havlik, AIT Austrian Institute of Technology GmbH.
Illustration by Scoobay (http://www.flickr.com/photos/scoobay/224565711/)6
Motivation matters!
Copyright © 2013 Denis Havlik, AIT Austrian Institute of Technology GmbH. 7
Challenge: plausibility and QA
8
Image Classifier SEQuality Assessment SE
classify & check images
Image Archive SEmanage images
MDAF servermobile acquisition
General Userleaf images
metadata (e.g. geotag)
Expertleaf species
manual assessment
© 2013 ENVIROFI Project Consortium
Microlearning helps!
Copyright © 2013 Denis Havlik, AIT Austrian Institute of Technology GmbH. 9
Objective Possible approach
How to use the application? Tooltips or popup messages on first use (implemented)
Training to recognise objects
Scavenger hunt for known and tagged objects
Learn to avoid misidentifications
control questions & feedback
A-posteriori feedback Notify user when more info on the object is available (implemented)
Classify data & assess users knowledge
Generalized re-capcha principle
Microlearning in a sense of „learning while doing“ is crucial for quality of information but still not sufficiently taken into account. On TODO list.
Observation DB
Challenges: no single truth
10
Plausibility/Confidence checks
Consensus buildingPrevious situation
knowledge
HabitatInformatio
n
Image Recognition
Reporters Reputation
Observ. on things(independent,
conflicting, incomplete)
Observations on observations
(identification, plausibility, annotation)
Application specific views
(fusion, meaning uncertainty)
Sensor Networks
ENVIROFI observations
ENVIROFI observations
Integrate existing data
Integrate existing data
USE
Copyright © 2013 Denis Havlik, AIT Austrian Institute of Technology GmbH.
Challenge: FI-Ware integration
11
„Cloud Edge“ GE: Field-deployment of observations server; (P2P?) information exchange over local
WLAN
„Cloud Edge“ GE: Field-deployment of observations server; (P2P?) information exchange over local
WLAN
11
Observations & Situation
Awareness
Cloud StorageStoring of BLOBS (photos, videos)
Cloud StorageStoring of BLOBS (photos, videos)
Marketplace GEs: sales, revenue
sharing
Marketplace GEs: sales, revenue
sharing
Pub/sub GE: Events processing
& dissemination
Pub/sub GE: Events processing
& dissemination
Security GEs: user & right mgm.; legal compliance
Security GEs: user & right mgm.; legal compliance
IoT GEs: Smart sensors?
IoT GEs: Smart sensors?
Environmental SEs
Meaning
Data Fusion, Forecasting
Harvestors, Connectors
Observations
Big data GEs: Annotation & processing
Big data GEs: Annotation & processing
Cloud mgm. GEs: automated
deployment, scaling
Cloud mgm. GEs: automated
deployment, scaling
I2ND GEs: Network reliability,
Hardware abstraction,
I2ND GEs: Network reliability,
Hardware abstraction,
Mashup GE: Ad-hoc applications
Mashup GE: Ad-hoc applications
Copyright © 2013 Denis Havlik, AIT Austrian Institute of Technology GmbH.
Challenge: adding features
12
ENVIROFI web-mashup PoC: http://youtu.be/yEXlLQYq7s4
Challenges: user interactionView existing knowledge•Map view•Table view•Detailed View•Areas of Interest
View existing knowledge•Map view•Table view•Detailed View•Areas of Interest
Receive information (events!)•Requests for more observations, •Warnings, e.g. “pollen warning”•Interests, e.g. “monumental tree in vicinity”
Receive information (events!)•Requests for more observations, •Warnings, e.g. “pollen warning”•Interests, e.g. “monumental tree in vicinity”
Report observations•“New” things, e.g. “here and now I see a tree”•Personal, e.g. “I have a headache”•Obs. on existing thing, e.g. “this tree currently blossoms
Report observations•“New” things, e.g. “here and now I see a tree”•Personal, e.g. “I have a headache”•Obs. on existing thing, e.g. “this tree currently blossoms
Inform
Server Backend(or proxy)
Alert!Request Action!
Copyright © 2013 Denis Havlik, AIT Austrian Institute of Technology GmbH. 13
Crowd tasking workflow
14
Mobile Users
Sensors
AutomatedTasking
External Data
ManualTasking
Decision
maker
Experts Algorithms
Copyright © 2013 Denis Havlik, AIT Austrian Institute of Technology GmbH.
Mobile Users
Challenges: tracking of users?
Work with „Areas of Interest“: •defined by users•Could be automatically generated when user significantly moves
Why AOIs?1.pre-fetching of data => allows offline use2.Server-side filtering of events
No tracking!Current users position is taken into account by the Mobile app logic!
Copyright © 2013 Denis Havlik, AIT Austrian Institute of Technology GmbH. 15
1 23
4 5
67 8
AOIAOI
AOIAOI
AOIAOI
Do it on the phone!
Copyright © 2013 Denis Havlik, AIT Austrian Institute of Technology GmbH. 16
Do you really need to process users sensitive
data (e.g. health-related) on the backend
server?
Environmental Georeferenced
Observation App
Environmental Georeferenced
Observation App
Environmental Georeferenced
Observation Service
Environmental Georeferenced
Observation Service
Challenges: unreliable networks
Copyright © 2013 Maria Egly, AIT Austrian Institute of Technology GmbH. 17
ServerClient
CouchDB/GeoCouch
CouchDB/GeoCouch
continuousreplication
standardized technologies
GeoJSON
HTTP
Storage/Retrieval via http RESTful Interface
Changes Notification API used for app GUI updates
Created on user‘s first login
Filtered replication to Environmental Georeferenced Observation Service
Environmental Georeferenced
Observation Service
Environmental Georeferenced
Observation Service
Environmental Georeferenced Observation Proxy Service
Environmental Georeferenced Observation Proxy Service
ClientClient
Challenges: platform dependence
Copyright © 2013 Maria Egly, AIT Austrian Institute of Technology GmbH. 18
ServerServer
Sencha Touch
AndroidBlackberry OS
Apple IOS Windows Phone
PhoneGap =
Apache Cordova
Presentation LayerPresentation Layer
Application LogicApplication Logic
VisualizationVisualization
standardized technologies
Javascript
HTML 5
CSS
Platform independent*
*to a large extent;minor porting effort necessary
HTTP Interfaces:
OpenStreetMap
Google Service API
FI-Ware Object Storage
FI-Ware Identity Management
Copyright © 2013 Denis Havlik, AIT Austrian Institute of Technology GmbH. 19
Lessons learned?
Ultimate challenge: industrialization
We are transforming the ENVIROFI experiments into a
reliable and scalable FOSS product.
Ultimate challenge: industrialization
First public presentation of “UBICITY” by Jan von Oort is
tomorrow! (11:20-11:40 - during coffee break)
hint: http://xkcd.com/1110/
1. The ideas presented today were developed and partially realized as Mobile Data Acquisition System (MDAF) in the scope of the European Community's Seventh Framework Programme (FP7/2007-2013) under Grant Agreement Number 284898 (ENVIROFI)
2. The importance of microlearning really became clear to me very recently, thanks to Dr. Christian Voigt and the microlearning 7.0 conference.
3. MDAF contributors: Eun Yu, Clemens Bernhard Geyer, Peter Kutschera, Markus Falgenhauer, Markus Cizek, Ralf Vamosi, Maria Egly, Hermann Huber and most recently Jan von Oort.• Currently active developers are underlined.
Acknowledgements
22
• All slides which are marked as © 2013 Denis Havlik or © 2013 Maria Egly can be re-used under the terms of the Creative Commons ”Attribution-ShareAlike 3.0“ license.
• Illustration on the pages 2 and 6 have been marked for free re-use by their authors. To the best of my knowledge the licenses are compatible with CC.
• Disclaimer: I am not a lawyer. Please follow the links for more info.
• The logos on slides 17 and 23 are of course IPR of the respective companies. To the best of my knowledge this falls into “fair use”
IPR and fair re-use
23
Thank you for your attentionDr. Denis Havlik
The research leading to these results has received funding from the European Community's Seventh
Framework Programme (FP7/2007-2013) under Grant Agreement Number 284898
www.envirofi.eu