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2Dynamics in Search Engine Query Suggestions for European Politicians
F. Pradel, F. Haak, S. Proksch, and P. Schaer. WEBSCI '24: Proceedings of the 16th ACM Web Science Conference, page 279–289. ACM, (2024)
9 months ago by @irgroup_thkoeln
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2024
esupol
haak
myown
pixls
schaer
websci
2024esupolhaakmyownpixlsschaerwebsci
(0)
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11Semantics made by you and me: Self-emerging ontologies can capture the diversity of shared knowledge
D. Benz, A. Hotho, and G. Stumme. Proceedings of the 2nd Web Science Conference (WebSci10), Raleigh, NC, USA, (2010)
6 years ago by @stumme
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2010
myown
ol
ontology
semantic
semantics
tau
websci
websci10
2010myownolontologysemanticsemanticstauwebsciwebsci10
(0)
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5Predicting Rising Follower Counts on Twitter Using Profile Information
J. Mueller, and G. Stumme. 9th International ACM Web Science Conference 2017 (WebSci 2017), Troy, NY, USA, June 26-28, 2017. Accepted for Publication, New York, NY, USA, ACM, (June 2017)
6 years ago by @stumme
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2017
ACM
ITeGPub
InProceedings
KDE
Twitter
WebSci
myown
2017ACMITeGPubInProceedingsKDETwitterWebScimyown
(0)
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12On Publication Usage in a Social Bookmarking System
D. Zoller, S. Doerfel, R. Jäschke, G. Stumme, and A. Hotho. Proceedings of the 2015 ACM Conference on Web Science, page 67:1--67:2. New York, NY, USA, ACM, (2015)
6 years ago by @stumme
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2015
altmetrics
bookmarking
citations
cycle
impact
itegpub
life
myown
poster
publication
scientometrics
sdomyown
social
usage
webSci
2015altmetricsbookmarkingcitationscycleimpactitegpublifemyownposterpublicationscientometricssdomyownsocialusagewebSci
(1)
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5Predicting Rising Follower Counts on Twitter Using Profile Information
J. Mueller, and G. Stumme. 9th International ACM Web Science Conference 2017 (WebSci 2017), Troy, NY, USA, June 26-28, 2017. Accepted for Publication, New York, NY, USA, ACM, (June 2017)
6 years ago by @kde-alumni
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2017
ACM
ITeGPub
InProceedings
KDE
Twitter
WebSci
myown
2017ACMITeGPubInProceedingsKDETwitterWebScimyown
(0)
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11Semantics made by you and me: Self-emerging ontologies can capture the diversity of shared knowledge
D. Benz, A. Hotho, and G. Stumme. Proceedings of the 2nd Web Science Conference (WebSci10), Raleigh, NC, USA, (2010)
9 years ago by @dmir
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2010
from:hotho
myown
ol
ontology
semantic
semantics
websci
websci10
2010from:hothomyownolontologysemanticsemanticswebsciwebsci10
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11Semantics made by you and me: Self-emerging ontologies can capture the diversity of shared knowledge
D. Benz, A. Hotho, and G. Stumme. Proceedings of the 2nd Web Science Conference (WebSci10), Raleigh, NC, USA, (2010)
9 years ago by @kde-alumni
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2010
myown
ol
ontology
semantic
tau
websci
websci10
semantics
2010myownolontologysemantictauwebsciwebsci10semantics
(0)
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12On Publication Usage in a Social Bookmarking System
D. Zoller, S. Doerfel, R. Jäschke, G. Stumme, and A. Hotho. Proceedings of the 2015 ACM Conference on Web Science, page 67:1--67:2. New York, NY, USA, ACM, (2015)
9 years ago by @kde-alumni
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2015
altmetrics
bookmarking
citations
cycle
itegpub
life
myown
poster
publication
scientometrics
sdomyown
usage
webSci
impact
social
2015altmetricsbookmarkingcitationscycleitegpublifemyownposterpublicationscientometricssdomyownusagewebSciimpactsocial
(1)
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7Semantics made by you and me: Self-emerging ontologies can capture the diversity of shared knowledge
D. Benz, A. Hotho, S. Stützer, and G. Stumme. Proceedings of the 2nd Web Science Conference (WebSci10), Raleigh, NC, USA, (2010)
9 years ago by @kde-alumni
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2010
ibm-kde-tagging
itegpub
myown
ol_web2.0
semantics
taggingsurvey
web_science
websci
websci10
2010ibm-kde-taggingitegpubmyownol_web2.0semanticstaggingsurveyweb_sciencewebsciwebsci10
(0)
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12On Publication Usage in a Social Bookmarking System
D. Zoller, S. Doerfel, R. Jäschke, G. Stumme, and A. Hotho. Proceedings of the 2015 ACM Conference on Web Science, page 67:1--67:2. New York, NY, USA, ACM, (2015)
9 years ago by @sdo
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2015
altmetrics
bookmarking
citations
cycle
itegpub
life
myown
poster
publication
scientometrics
sdomyown
usage
webSci
2015altmetricsbookmarkingcitationscycleitegpublifemyownposterpublicationscientometricssdomyownusagewebSci
(1)
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4Named Entity Evolution Analysis on Wikipedia
H. Holzmann, and T. Risse. Proc. of the 2014 ACM Conference on Web Science, page 241-242. New York, NY, USA, ACM, (June 2014)
11 years ago by @trisse69
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2014
alexandria
evolution
myown
namedentities
semantics
websci
wikipedia
2014alexandriaevolutionmyownnamedentitiessemanticswebsciwikipedia
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4Tracking Twitter for epidemic intelligence: case study: EHEC/HUS outbreak in Germany, 2011
E. Diaz-Aviles, and A. Stewart. Proceedings of the 3rd Annual ACM Web Science Conference, page 82--85. New York, NY, USA, ACM, (2012)
12 years ago by @diaz.l3s.de
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epidemic_intelligence
myown
outbreak_detection
social_media
twitter
web_science
websci
websci2012
epidemic_intelligencemyownoutbreak_detectionsocial_mediatwitterweb_sciencewebsciwebsci2012
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7Semantics made by you and me: Self-emerging ontologies can capture the diversity of shared knowledge
D. Benz, A. Hotho, S. Stützer, and G. Stumme. Proceedings of the 2nd Web Science Conference (WebSci10), Raleigh, NC, USA, (2010)
14 years ago by @dbenz
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2010
ibm-kde-tagging
itegpub
myown
ol_web2.0
semantics
taggingsurvey
web_science
websci
websci10
2010ibm-kde-taggingitegpubmyownol_web2.0semanticstaggingsurveyweb_sciencewebsciwebsci10
(0)
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11Semantics made by you and me: Self-emerging ontologies can capture the diversity of shared knowledge
D. Benz, A. Hotho, and G. Stumme. Proceedings of the 2nd Web Science Conference (WebSci10), Raleigh, NC, USA, (2010)
15 years ago by @hotho
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2010
myown
ol
ontology
semantic
tau
websci
websci10
2010myownolontologysemantictauwebsciwebsci10
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publications (hide)14
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2Dynamics in Search Engine Query Suggestions for European Politicians

11Semantics made by you and me: Self-emerging ontologies can capture the diversity of shared knowledge

5Predicting Rising Follower Counts on Twitter Using Profile Information

12On Publication Usage in a Social Bookmarking System

5Predicting Rising Follower Counts on Twitter Using Profile Information

11Semantics made by you and me: Self-emerging ontologies can capture the diversity of shared knowledge

11Semantics made by you and me: Self-emerging ontologies can capture the diversity of shared knowledge

12On Publication Usage in a Social Bookmarking System

7Semantics made by you and me: Self-emerging ontologies can capture the diversity of shared knowledge

12On Publication Usage in a Social Bookmarking System

4Named Entity Evolution Analysis on Wikipedia

4Tracking Twitter for epidemic intelligence: case study: EHEC/HUS outbreak in Germany, 2011

7Semantics made by you and me: Self-emerging ontologies can capture the diversity of shared knowledge

11Semantics made by you and me: Self-emerging ontologies can capture the diversity of shared knowledge

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