This presentation was given at Bobcatsss2013 in Ankara.
Once the library assembled a collection and people came to the library to use it. Now, people build communication, workflows and behaviors around a variety of network resources. The library needs to think about how it is visible and relevant in those workflows and behaviors.
Content Used to be King: The Semantic Web in EducationJudy O'Connell
There was a time when books, newspapers, magazines, and journals were the primary sources of content and information. You had to enjoy slow reading of (limited) information sources to gain a knowledge base that matched a particular curriculum outline.
This was when content was king and the teacher was the sage on the stage. Now communication is the new curriculum and network connections drive deep learning and knowledge creation. The era of collaborating, communicating, and integrating resources flexibly and online is here to stay. Massive change has pushed us into a 21st century information maze. What does the 21st century web offer us? What is the relevance of linked data and semantic search and how might this affect our information seeking, and learning/teaching strategies?
Presented at the ACEC2010 Conference "Digital Diversity", Melbourne, Australia. http://acec2010.info/
Do you struggle to keep track of all your favority Web sites and other online resources? Would you like to share the links to your favority online resources with your colleagues or students? Social bookmarking is a technique of storing, classsifying, sharing, and searching links through the practice of folksonomic tagging. This hands-on session will introduce the popular social bookmarking tools del.icio.us and CiteULike and explore several practical applications for implementing social bookmarking in the classroom.
Small pieces loosely joined: towards a unified theory of biodiversity for the...Vince Smith
An invited talk at the American Museum of Natural History, given as part of the Richard Gilder Graduate School Program. New York, U.S.A. November 24, 2008.
An examination of the current data portability design patterns used in Social Media sites. Looking at a possible new Open Stack concept to create true plug and play interfaces for user to exchange data
Introduction to Social Bookmarking - FSI 2007Jason Rhode
slides from Jason Rhode's session entitled "Introduction to Social Bookmarking" presented at Faculty Summer Institute, University of Illinois Urbana-Champaign, May, 2008
I prepared these slides for a mini Pecha Kucha talk at the JTEL WinterSchool 2010. My Ph.D. is about the concept of Artefact-Actor-Networks to support the awareness in informal learning communities.
Keynote delivered at ACM Hypertext conference on 6th of September 2023.
Abstract: You’re probably getting a bit worn out from all these talks about misinformation and Twitter-based experiments. The fact that Twitter is now called Platform X is probably not enough of a change to keep you awake during my talk! But I think, or hope, to bring up a few things in this talk that you might not have come across or thought about much before. I believe that having fact-checks that call out false or misleading claims is very important in our fight against misinformation. But we’re still not quite sure if and how they impact the spread of wrong information and how they could help set things right online. So, in this talk, I’ll dive into how we’re all prone to falling for misinformation and make a case for needing data and tools to help us see how both ourselves and others engage with false or unreliable information over long periods of time. I’ll also share what we’ve learnt from our research about how these fact-checks affect how wrong info spreads, and I’ll give you the scoop on what happened when we tried using automatic replies to correct misinforming posts on Twitter, oops, I mean platform X. If all of this still feels like old news to you, well, there’s always that email inbox to keep you awake during my keynote.
Keynote at the 2nd International Workshop on Knowledge Graphs for Online Discourse Analysis (BeyondFacts’22) – April 26, 2022
Talk abstract: Misinformation has always been part of humankind’s information ecosystem. The development of tools and methods for automatically detecting the reliability of information has received a great deal of attention in recent years, such as calculating the authenticity of images, calculating the likelihood of claims, and assessing the credibility of sources. Unfortunately, there is little evidence that the presence of these advanced technologies or the constant effort of fact-checkers worldwide can help stop the spread of misinformation. I will try to convince you that you also hold various false beliefs, and argue for the need for technologies and processes to assess the information shared by ourselves or by others, over a longer period of time, in order to improve our knowledge of our information credibility and vulnerability, as well as those of the people we listen to. Also, I will describe the benefits, challenges, and risks of automated information corrective actions, both for the target recipients and their wider audience.
This presentation was given at Bobcatsss2013 in Ankara.
Once the library assembled a collection and people came to the library to use it. Now, people build communication, workflows and behaviors around a variety of network resources. The library needs to think about how it is visible and relevant in those workflows and behaviors.
Content Used to be King: The Semantic Web in EducationJudy O'Connell
There was a time when books, newspapers, magazines, and journals were the primary sources of content and information. You had to enjoy slow reading of (limited) information sources to gain a knowledge base that matched a particular curriculum outline.
This was when content was king and the teacher was the sage on the stage. Now communication is the new curriculum and network connections drive deep learning and knowledge creation. The era of collaborating, communicating, and integrating resources flexibly and online is here to stay. Massive change has pushed us into a 21st century information maze. What does the 21st century web offer us? What is the relevance of linked data and semantic search and how might this affect our information seeking, and learning/teaching strategies?
Presented at the ACEC2010 Conference "Digital Diversity", Melbourne, Australia. http://acec2010.info/
Do you struggle to keep track of all your favority Web sites and other online resources? Would you like to share the links to your favority online resources with your colleagues or students? Social bookmarking is a technique of storing, classsifying, sharing, and searching links through the practice of folksonomic tagging. This hands-on session will introduce the popular social bookmarking tools del.icio.us and CiteULike and explore several practical applications for implementing social bookmarking in the classroom.
Small pieces loosely joined: towards a unified theory of biodiversity for the...Vince Smith
An invited talk at the American Museum of Natural History, given as part of the Richard Gilder Graduate School Program. New York, U.S.A. November 24, 2008.
An examination of the current data portability design patterns used in Social Media sites. Looking at a possible new Open Stack concept to create true plug and play interfaces for user to exchange data
Introduction to Social Bookmarking - FSI 2007Jason Rhode
slides from Jason Rhode's session entitled "Introduction to Social Bookmarking" presented at Faculty Summer Institute, University of Illinois Urbana-Champaign, May, 2008
I prepared these slides for a mini Pecha Kucha talk at the JTEL WinterSchool 2010. My Ph.D. is about the concept of Artefact-Actor-Networks to support the awareness in informal learning communities.
Similar to Semantics, Sensors, and the Social Web (20)
Keynote delivered at ACM Hypertext conference on 6th of September 2023.
Abstract: You’re probably getting a bit worn out from all these talks about misinformation and Twitter-based experiments. The fact that Twitter is now called Platform X is probably not enough of a change to keep you awake during my talk! But I think, or hope, to bring up a few things in this talk that you might not have come across or thought about much before. I believe that having fact-checks that call out false or misleading claims is very important in our fight against misinformation. But we’re still not quite sure if and how they impact the spread of wrong information and how they could help set things right online. So, in this talk, I’ll dive into how we’re all prone to falling for misinformation and make a case for needing data and tools to help us see how both ourselves and others engage with false or unreliable information over long periods of time. I’ll also share what we’ve learnt from our research about how these fact-checks affect how wrong info spreads, and I’ll give you the scoop on what happened when we tried using automatic replies to correct misinforming posts on Twitter, oops, I mean platform X. If all of this still feels like old news to you, well, there’s always that email inbox to keep you awake during my keynote.
Keynote at the 2nd International Workshop on Knowledge Graphs for Online Discourse Analysis (BeyondFacts’22) – April 26, 2022
Talk abstract: Misinformation has always been part of humankind’s information ecosystem. The development of tools and methods for automatically detecting the reliability of information has received a great deal of attention in recent years, such as calculating the authenticity of images, calculating the likelihood of claims, and assessing the credibility of sources. Unfortunately, there is little evidence that the presence of these advanced technologies or the constant effort of fact-checkers worldwide can help stop the spread of misinformation. I will try to convince you that you also hold various false beliefs, and argue for the need for technologies and processes to assess the information shared by ourselves or by others, over a longer period of time, in order to improve our knowledge of our information credibility and vulnerability, as well as those of the people we listen to. Also, I will describe the benefits, challenges, and risks of automated information corrective actions, both for the target recipients and their wider audience.
Talk delivered at the Paris Peace Forum, Nov 12-13, where I presented the H2020 Co-Inform project that aims at researching and developing socio-technical tools to tackle misinformation.
SASIG Workshop on “Improving the digital landscape for our children”The Open University
Reflections on the Online Harms White Paper published in April 2019. https://www.gov.uk/government/consultations/online-harms-white-paper
Presented these slides as part of a panel. Agenda of the workshop: https://gallery.mailchimp.com/6a29a22efa92c19681485a0ee/files/f3d318a3-978e-4977-be85-971ecb97ca13/Child_Safety_Online_Agenda_v33.pdf
Co-Inform (Co-Creating Misinformation Resilient Societies)The Open University
Brief description on the H2020 Co-Inform (https://coinform.eu) project. Presented at the event: "Why does fact checking matter? @ImagineBelfast" which was organised by FactCheck NI. https://imaginebelfast.com/events/why-does-fact-checking-matter/
Keynote delivered at the 10th International Conference on Social Informatics (SocInfo 2018), St.Petersburg, Russia, September 25–28, 2018. https://socinfo2018.hse.ru/
Material is from the EU COMRADES project and includes work from all the members of COMRADES consortium. For more information on the project, please visit the website at https://comrades-project.eu/
Mining and Comparing Engagement Dynamics Across Multiple Social Media Platfor...The Open University
Understanding what attracts users to engage with social media content is important in domains such as market analytics, advertising, and community management.
To date, many pieces of work have examined engagement dynamics in isolated platforms with little consideration or assessment of how these dynamics might vary between disparate social media systems. Additionally, such explorations have often used different features and notions of engagement, thus rendering the cross-platform comparison of engagement dynamics limited. In this paper we define a common framework of engagement analysis and examine and compare engagement dynamics across five social media platforms: Facebook, Twitter, Boards.ie, Stack Overflow and the SAP Community Network. We define a variety of common features (social and content) to capture the dynamics that correlate with engagement in multiple social media platforms, and present an evaluation pipeline intended to enable cross-platform comparison. Our comparison results demonstrate the varying factors at play in different platforms, while also exposing several similarities.
Short presentation at Dagstuhl seminar on Physical-Cyber-Social Computing, September 29 to October 4, 2013.
http://www.dagstuhl.de/en/program/calendar/semhp/?semnr=13402
Gave this talk at SSSW'13; The 10th Summer School on Ontology Engineering and the Semantic Web
7 - 13 July, 2013. Cercedilla, Spain. http://sssw.org/2013/
Unit 8 - Information and Communication Technology (Paper I).pdfThiyagu K
This slides describes the basic concepts of ICT, basics of Email, Emerging Technology and Digital Initiatives in Education. This presentations aligns with the UGC Paper I syllabus.
The Indian economy is classified into different sectors to simplify the analysis and understanding of economic activities. For Class 10, it's essential to grasp the sectors of the Indian economy, understand their characteristics, and recognize their importance. This guide will provide detailed notes on the Sectors of the Indian Economy Class 10, using specific long-tail keywords to enhance comprehension.
For more information, visit-www.vavaclasses.com
We all have good and bad thoughts from time to time and situation to situation. We are bombarded daily with spiraling thoughts(both negative and positive) creating all-consuming feel , making us difficult to manage with associated suffering. Good thoughts are like our Mob Signal (Positive thought) amidst noise(negative thought) in the atmosphere. Negative thoughts like noise outweigh positive thoughts. These thoughts often create unwanted confusion, trouble, stress and frustration in our mind as well as chaos in our physical world. Negative thoughts are also known as “distorted thinking”.
Students, digital devices and success - Andreas Schleicher - 27 May 2024..pptxEduSkills OECD
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Welcome to TechSoup New Member Orientation and Q&A (May 2024).pdfTechSoup
In this webinar you will learn how your organization can access TechSoup's wide variety of product discount and donation programs. From hardware to software, we'll give you a tour of the tools available to help your nonprofit with productivity, collaboration, financial management, donor tracking, security, and more.
Read| The latest issue of The Challenger is here! We are thrilled to announce that our school paper has qualified for the NATIONAL SCHOOLS PRESS CONFERENCE (NSPC) 2024. Thank you for your unwavering support and trust. Dive into the stories that made us stand out!
Instructions for Submissions thorugh G- Classroom.pptxJheel Barad
This presentation provides a briefing on how to upload submissions and documents in Google Classroom. It was prepared as part of an orientation for new Sainik School in-service teacher trainees. As a training officer, my goal is to ensure that you are comfortable and proficient with this essential tool for managing assignments and fostering student engagement.
Instructions for Submissions thorugh G- Classroom.pptx
Semantics, Sensors, and the Social Web
1. Semantics, Sensors, and the
Social Web
Harith Alani
Knowledge Media institute,
The Open University, UK
Future Internet and Society: A Complex Systems Perspective
Aquafredda di Maratea, Italy, 2-7 October 2010
2. Offline + online social networking
Who should
Anyone I I talk to? Where have I
know here? met this guy?
Where
should I go?
ESWC2010 2
5. Live Social Semantics (LSS)
• Integration of physical presence and online information
• Semantic user profile generation
• Interest identification from distributed tagging activities
• Logging of face-to-face contact
• Social network browsing
• On-site and post-event support for social networking
• Analysis of online vs offline social behaviour
+ +
real-‐world
social
contacts semantic
web
linked
data online
social
networks
5
6. Components of LSS
Communities of Practice Communities of Practice
rkbexplorer.com dbtune.org rkbexplorer.com
Publications Profile Builder dbpedia.org Publications Profile Builder
semanticweb.org semanticweb.org
ontology
Web-based Systems
("
!"
interests
data.semanticweb.org TAGora Sense Profile T
Delicious builderDelicious
rkbexplorer.com Repository
Extractor Extractor
Flickr publications, co-authorship networks Flickr m
Daemon Social Tagging mbid -> dbpedia uri Daemon Social Tagging
Social Networks tag -> dbpedia uri Social Networks
LastFM #" LastFM
'"
Facebook Connect API JXT Triple Store Facebook Connect API JXT Triple Store
Contacts social semantics Contacts
%"
URIs
Tag disambiguation
Social triple store Social
service Semantics
RDF cache
Aggregator
Semantics
RDF cache
Aggregator
contacts data
RFID
ID
Local Local
aders Readers
tags, networks
Real World
Server Server Real-World
Tag to URI Real-World
service
Contact Data Contact Data
&"
tags
ID $"
RFID
dges Badges
Visualization Web Interface Linked Data Visualization Web Interface
Linked data Web interface Visualization
6
15. The Rise of the Semantic Web
Facebook’s Open Graph
15
16. Semantic data sources
Communities of Practice Communities of Practice
rkbexplorer.com dbtune.org rkbexplorer.com
Publications Profile Builder dbpedia.org Publications Profile Builder
semanticweb.org semanticweb.org
ontology
Web-based Systems
("
!"
interests
data.semanticweb.org TAGora Sense Profile T
Delicious builderDelicious
rkbexplorer.com Repository
Extractor Extractor
Flickr publications, co-authorship networks Flickr m
Daemon Social Tagging mbid -> dbpedia uri Daemon Social Tagging
Social Networks tag -> dbpedia uri Social Networks
LastFM #" LastFM
'"
Facebook Connect API JXT Triple Store Facebook Connect API JXT Triple Store
Contacts social semantics Contacts
%"
URIs
Tag disambiguation
Social triple store Social
service Semantics
RDF cache
Aggregator
Semantics
RDF cache
Aggregator
contacts data
RFID
ID
Local Local
aders Readers
tags, networks
Real World
Server Server Real-World
Tag to URI Real-World
service
Contact Data Contact Data
&"
tags
ID $"
RFID
dges Badges
Visualization Web Interface Linked Data Visualization Web Interface
Linked data Web interface Visualization
16
18. Social networking systems
Communities of Practice Communities of Practice
rkbexplorer.com dbtune.org rkbexplorer.com
Publications Profile Builder dbpedia.org Publications Profile Builder
semanticweb.org semanticweb.org
ontology
Web-based Systems
("
!"
Profile interests
data.semanticweb.org TAGora Sense T
Delicious builderDelicious
rkbexplorer.com Repository
Extractor Extractor
Flickr publications, co-authorship networks Flickr m
Daemon Social Tagging mbid -> dbpedia uri Daemon Social Tagging
Social Networks tag -> dbpedia uri Social Networks
LastFM #" LastFM
'"
acebook Connect API JXT Triple Store Facebook Connect API JXT Triple Store
Contacts social semantics Contacts
%"
URIs
Tag disambiguation
Social triple store Social
service Semantics
RDF cache
Aggregator
Semantics
RDF cache
Aggregator
contacts data
RFID
D
Local Local
aders Readers
tags, networks
Real World
Server Server Real-World
Tag to URI Real-World
service
Contact Data Contact Data
&"
tags
D $"
RFID
dges Badges
Visualization Web Interface Linked Data Visualization Web Interface
Linked data Web interface Visualization
18
21. Making Sense of Folksonomies
Semantic User Profiles
FOAF DBpedia + Wordnet
Identity Integration Tag Integration
Delicious Last.fm … Flickr Facebook
• Tag ambiguity, misspellings, redundancy
• No semantic structure
• Distributed and disintegrated personal tag clouds
• Disconnected social network islands
26. Tag Disambiguation
• Term vector similarity
• Term vector from tag co-occurrence
• Term vector for each suggested Dbpedia disambiguation
page
Co-occurring
80, ..
tags in the
whole
folksonomy
film, 19
User tags
regardless of
the resource
(Period of Time)
apple,
co-occurring
tags in the
same resource
, ..
ree , fruit
ap ple, t User Tags co -
occurring in the
same resource
26
28. Tags to User Interests
• Based on 72 POIs verified by users
Global Delicious Flickr lastFM
Concepts 2114 1615 456 43
generated
Concepts 449(21%) 307(19%) 133(29%) 9(21%)
removed
Only 15% of rejected interests
had incorrect Dbpedia matching
Phd candidates?
28
29. From raw tags and social relations
to Linked Data
Collective
intelligence
User raw Semantic
data data
Linked
data
ontologies
30. Communities of Practice Communities of Practice
rkbexplorer.com dbtune.org rkbexplorer.com
Publications Profile Builder dbpedia.org Publications Profile Builder
semanticweb.org semanticweb.org
ontology
Web-based Systems
("
!"
interests
data.semanticweb.org TAGora Sense Profile T
Delicious builderDelicious
rkbexplorer.com Repository
Extractor Extractor
Flickr publications, co-authorship networks Flickr m
Daemon Social Tagging mbid -> dbpedia uri Daemon Social Tagging
Social Networks tag -> dbpedia uri Social Networks
LastFM #" LastFM
'"
Facebook Connect API JXT Triple Store Facebook Connect API JXT Triple Store
Contacts social semantics Contacts
%"
URIs
Tag disambiguation
Social triple store Social
service Semantics
RDF cache
Aggregator
Semantics
RDF cache
Aggregator
contacts data
RFID
ID
Local Local
aders Readers
tags, networks
Real World
Server Server Real-World
Tag to URI Real-World
service
Contact Data Contact Data
&"
tags
ID $"
RFID
dges Badges
Visualization Web Interface Linked Data Visualization Web Interface
Linked data Web interface Visualization
30
33. Communities of Practice Communities of Practice
rkbexplorer.com dbtune.org rkbexplorer.com
Publications Profile Builder dbpedia.org Publications Profile Builder
semanticweb.org semanticweb.org
ontology
Web-based Systems
("
!"
interests
data.semanticweb.org TAGora Sense Profile T
Delicious builderDelicious
rkbexplorer.com Repository
Extractor Extractor
Flickr publications, co-authorship networks Flickr m
Daemon Social Tagging mbid -> dbpedia uri Daemon Social Tagging
Social Networks tag -> dbpedia uri Social Networks
LastFM #" LastFM
'"
Facebook Connect API JXT Triple Store Facebook Connect API JXT Triple Store
Contacts social semantics Contacts
%"
URIs
Tag disambiguation
Social triple store Social
service Semantics
RDF cache
Aggregator
Semantics
RDF cache
Aggregator
contacts data
RFID
ID
Local Local
aders Readers
tags, networks
Real World
Server Server Real-World
Tag to URI Real-World
service
Contact Data Contact Data
&"
tags
ID $"
RFID
dges Badges
Visualization Web Interface Linked Data Visualization Web Interface
Linked data Web interface Visualization
33
34.
35. Live Social Semantics
Deployed at:
Participation
Event Attendees RFIDs LSS
collected accounts
ESWC09 300 187 139
HT09 150 113 97
ESWC10 310 175 132
Total 760 475 368
36. Declaration of SNS Accounts
Facebook Delicious lastFM Flickr TOTAL
ESWC09 78 59 57 52 246
HT09 48 28 26 23 125
Facebook Twitter TOTAL
ESWC 79 47 126
2010
37. Survey of users with no SNS accounts
• 84 registered with no SNS
accounts
• 36 responded to our survey
• Some used LinkedIn or xing
• This survey does not include
conf attendees who did not
participate in LSS
Option Reason No. Users %
a don’t have those accounts (or rarely use them) 16 44%
b use different networking sites 10 28%
c don’t like to share them 3 8%
d didn’t get a chance to share them (e.g. no 6 17%
computer, slow internet)
e other 1 3%
TOTAL 36 100% 37
38. Degree
• Degree: number of other 10
2
participants with whom an
attendee has interacted
1
10 1 2
10 10
ESWC2010
Total interaction time
• Total time: total time spent in 10
4
interaction by an attendee
3
10 3 4 5
10 10 10
• Link weight: total time spent in 4 Links’ weights
10
F2F interaction by a pair of 3
10
returning attendees in 2010, 2
10
versus the same quantity 1
10 1 2 3 4 5
measured in 2009 10 10 10 10 10
ESWC2009
38
39. Offline networking vs online networking
Users with Facebook and Twitter accounts in ESWC 2010
• people who have a large number of friends on Twitter and/or Facebook don’t seem to
be the most socially active in the offline world
39
40. Average seniority of neighbours in F2F networks
5
se
Avgnn
seniority of the neighbours
Average seniority of neighbors
se weighted averages
withnn,w
4
senn,max
Seniority of user with strongest link
3
2
1
0
0 5 10
seniority (number of papers)
• No clear pattern is observed if the unweighted average over all neighbours in the
aggregated network is considered
• A correlation is observed when each neighbour is weighted by the time spent with the
main person
• The correlation becomes much stronger when considering for each individual only the
neighbour with whom the most time was spent
40
• Similar results with h-index is considered as a measure of seniority
41. Scientific seniority vs Twitter followers
• Comparison between people’s scientific seniority and the number of people following
them on Twitter
• Most senior scientists are not the mostly followed on Twitter, and vice versa
41
42. Conference Chairs
all chairs all chairs
participants 2009 participants 2010
2009 2010
average degree 55 77.7 54 77.6
average strength 8590 19590 7807 22520
average weight average 159 500 141 674
number of events per 3.44 8 3.37 12
edge
• Conf chairs interact with more distinct people (larger average degree)
• Conf chairs spend more time in F2F interaction (almost three times as much as a
random participant)
43. Networking with online and offline ‘friends’
Characteristics all users coauthors Facebook Twitter
friends followers
average contact 42 75 63 72
duration (s)
average edge weight 141 4470 830 1010
(s)
average number of 3.37 60 13 14
events per edge
• Individuals sharing an online or professional social link meet much more often than
other individuals
• Average number of encounters, and total time spent in interaction, is highest for co-
authors
44. Limitations and future work
• Data is naturally sparse,
– not all conference attendees participated in LSS
– not all users participated in all LSS deployments
– many F2F contacts take place outside the RFID reader perimeters (e.g. at the bar,
restaurant, beach!)
• Social networks and their analysis is influenced by many parameters and
types of relationships
– Results might contain some bias due to data limitation to LSS users only, and to
data and attendees of our conferences
– Other parameters: age, affiliation, memberships, non-CS conferences, time (when
SNS account was created, when a ‘friendship’ link was added), SNS usage
• Richer user profiles
– currently building models and tools for generating rich user profiles to represent
user’s activities in various SNS
– Such profiles can then be analysed to identify usage and social behaviour,
influence, trends, and interests
44
45. Live Social Semantics core team
Wouter van Den Broeck Alain Barrat Martin Szomszor
ISI, Turin CPT Marseille & ISI CeRC, City University, UK
Ciro Cattuto Harith Alani
ISI, Turin KMi, UK
References:
• Barrat, A., et al. (2010) Social dynamics in conferences: analyses of data from the Live Social Semantics
application. In 9th International Semantic Web Conference (ISWC), China.
• Szomszor, M., et al. (2010) Semantics, Sensors, and the Social Web: The Live Social Semantics experiments.
Extended Semantic Web Conference (ESWC), Crete.
• Broeck, W., et al. (2010) The Live Social Semantics application: a platform for integrating face-to-face presence
with on-line social networking, Workshop on Communication, Collaboration and Social Networking in Pervasive
Computing Environments (PerCol), IEEE PerCom, Mannheim.
• Alani, H., et al. (2009) Live Social Semantics. In 8th International Semantic Web Conference (ISWC), US.
45