A Microservice Approach for Near Real-time Collaborative 3D Object Annotation on the Web

Slides for the presentation given at International Conference on Web-based Learning (ICWL) 2015, Guangzhou, China

Software

http://Learning-Layers.eu
ICWL 2015
5-8 November, 2015
Guangzhou, China

http://Learning-Layers.eu
• Motivation
• Handling 3D objects in Web Browsers
• Near real-time collaborative manipulations of 3D
objects
• Evaluation
• Conclusion & future work
2

http://Learning-Layers.eu
• Emerging 3D technologies (3D scanners, printers..)
– Web-based access and manipulation
– Access to hard accessible/expensive resources
– High quality digital representations of physical artifacts
• Support learning at scale
– One to many, many to many (peer), one to one learning
– Mix of personal and collaborative systems
– Mix of informal and formal learning
3
annotations

http://Learning-Layers.eu
• X3D
– ISO (ISO/IEC IS 19775-1:2013) standard for 3D graphics handling
– Emerged from Virtual Reality Modeling Language (VRML)
• x3dom
– Native support of X3D in Web browser
4
System Platform Domain Annotation Open Source
[Settapat et al., 2014] MVC Framework Virtual Worlds
Modern Pedagogy
no no
[Landro et al., 2014] Web portal Academic
communities
no no
SmithsonianX3D Web-based Cultural Heritage yes no
3DSA Web-based Museums yes no
ToBoA-3D Web-based Dedicated Virtual
Environments
yes no
• Web-based annotation systems available
• Open source libraries for 3D Web objects available
• BUT not together 

http://Learning-Layers.eu
• Developed in EU projects (ROLE, Metis, Layers)
• Applied in Exploratory Teaching Space (ETS) at RWTH Aachen
University together with hospital
• Anatomy 2.0 Web Platform for tutors and learners
– 3D object store
– Near real-time collaborative manipulation of 3D objects in the Web
browser
– Lightweight persistent annotation of 3D objects
• Personal Learning Environments (PLE) Renzel, D., Klamma, R., Kravcik, M.,
Nussbaumer, A.: ”Tracing Self-Regulated Learning in Responsive Open Learning Environments”
– Designed for personalization, customization & adaptation
– Awareness among participants
5

http://Learning-Layers.eu
• Dedicated Website
• Course creation and visualization
• 3D object upload
• Link to a Personal Learning Environment
6

http://Learning-Layers.eu
7
Community
Space
Members
Widgets
Chat
HTLM5
Content
Space

http://Learning-Layers.eu
8
• Widgets: 3D object store and 3D viewer widget
• Annotation & shared handling supported in viewer
• NRT collaboration enabled using XMPP protocol

http://Learning-Layers.eu
9
• Meso-level annotations (3D object level) [Cao et al. 2015]
• Knowledge exploitation
– Highlight the non-obvious information
– Disambiguate meaning
– Reflection (collaborative scenario)
• Customizable and lightweight format

http://Learning-Layers.eu
10
• Microservice-based &
widgetized
• Graph-based
annotation storage
• Open source &
standard-based

http://Learning-Layers.eu
11
• Early results obtained from ETS blended learning project
– Two study sessions
– 24 medicinal student participants
• Target
– Performance of annotations service
– Usability of browser-based 3D objects

http://Learning-Layers.eu
• Lightweight approach for collaborative manipulation of 3D
objects on the Web
– Open source development
– Textual annotation and near real-time mechanisms
– Evaluated using anatomical objects with good results
• Know-how on fast prototyping of scalable technical
solutions that can be succesfully used for learning
• Challenges
– New ROLE SDK release to allow flexibility and easy
deployment/configuration in various learning settings
– Integrate analytics using community monitoring and success
measuring
– Commsonomy usage for learning purpose
12

http://Learning-Layers.eu
nicolaescu, toubekis, klamma@dbis.rwth-aachen.de
Nicolaescu Petru
Anatomy 2.0 Project Website
GitHub: https://github.com/rwth-acis/

Ralf Klamma Advanced Community Information Systems (ACIS)RWTH Aachen University, Germany klamma@dbis.rwth-aachen.de Dresden, January 22, 2015 las2peer is a distributed, highly reliable and secure platform for creating community information systems and community services. The main goal of las2peer is to provide a fast and flexible way to create services which may communicate with each other and their users through standard protocols. The used and stored information is handled in a trustworthy way and within full control of the communities.

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This presentation, the first part of an extensive practical tutorial on logical and bit-stream preservation using Plato (a preservation planning tool) and EPrints (software for creating digital repositories), provides a rapid recap on the principles and reasons for digital preservation. The presentation was given as part of module 4 of a 5-module course on digital preservation tools for repository managers, presented by the JISC KeepIt project. For more on this and other presentations in this course look for the tag ’KeepIt course’ in the project blog http://blogs.ecs.soton.ac.uk/keepit/

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Vladimir Tomberg

imdb2015-ConfirmationOfParticipationGerhardus Vorster

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Michael Derntl

The influence of social status on consensus building in collaboration networks

Ilire Hasani-Mavriqi

In this paper, we analyze the influence of social status on opinion dynamics and consensus building in collaboration networks. To that end, we simulate the diffusion of opinions in empirical collaboration networks by taking into account both the network structure and the individual differences of people reflected through their social status. For our simulations, we adapt a well-known Naming Game model and extend it with the Probabilistic Meeting Rule to account for the social status of individuals participating in a meeting. This mechanism is sufficiently flexible and allows us to model various situations in collaboration networks, such as the emergence or disappearance of social classes. In this work, we concentrate on studying three well-known forms of class society: egalitarian, ranked and stratified. In particular, we are interested in the way these society forms facilitate opinion diffusion. Our experimental findings reveal that (i) opinion dynamics in collaboration networks is indeed affected by the individuals’ social status and (ii) this effect is intricate and non-obvious. In particular, although the social status favors consensus building, relying on it too strongly can slow down the opinion diffusion, indicating that there is a specific setting for each collaboration network in which social status optimally benefits the consensus building process. Paper: http://www.know-center.tugraz.at/cms/wp-content/uploads/2015/08/ASONAM_2015_Paper.pdf Reference: Hasani-Mavriqi I, Geigl F, Pujari SC, Lex E, Helic D (2015) The influence of social status on consensus building in collaboration networks. In: Proceedings of the 2015 IEEE/ACM international conference on advances in social networks analysis and mining 2015, ASONAM ’15ACM, New York, NY, USA, pp 162–169 http://dl.acm.org/citation.cfm?id=2808887&CFID=851242713&CFTOKEN=32991930

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