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Article

Linking social networks on the web with FOAF: a semantic web case study

Authors:

Jennifer Golbeck,

Matthew RothsteinAuthors Info & Claims

AAAI'08: Proceedings of the 23rd national conference on Artificial intelligence - Volume 2

Pages 1138 - 1143

Published: 13 July 2008 Publication History

Abstract

One of the core goals of the Semantic Web is to store data in distributed locations, and use ontologies and reasoning to aggregate it. Social networking is a large movement on the web, and social networking data using the Friend of a Friend (FOAF) vocabulary makes up a significant portion of all data on the Semantic Web. Many traditional web-based social networks share their members' information in FOAF format. While this is by far the largest source of FOAF online, there is no information about whether the social network models from each network overlap to create a larger unified social network, or whether they are simply isolated components. If there are intersections, it is evidence that Semantic Web representations and technologies are being used to create interesting, useful data models. In this paper, we present a study of the intersection of FOAF data found in many online social networks. Using the semantics of the FOAF ontology and applying Semantic Web reasoning techniques, we show that a significant percentage of profiles can be merged from multiple networks. We present results on how this affects network structure and what it says about the success of the Semantic Web.

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Cited By

Kala AZayani CAmous IAbdelghani WSdes F(2018)Social collaborative service recommendation approach based on users trust and domain-specific expertiseFuture Generation Computer Systems10.1016/j.future.2017.05.03680:C(355-367)Online publication date: 1-Mar-2018
https://dl.acm.org/doi/10.1016/j.future.2017.05.036
Khapre SChauhan VTomar VMahapatra RBansal N(2017)A Method of Identifying User Identity Based on Username FeaturesInternational Journal of Handheld Computing Research10.4018/IJHCR.20171001018:4(1-22)Online publication date: 1-Oct-2017
https://dl.acm.org/doi/10.4018/IJHCR.2017100101
Chen HKu WWang HTang LSun M(2017)Scaling Up Markov Logic Probabilistic Inference for Social GraphsIEEE Transactions on Knowledge and Data Engineering10.1109/TKDE.2016.262525129:2(433-445)Online publication date: 1-Feb-2017
https://dl.acm.org/doi/10.1109/TKDE.2016.2625251
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Linking social networks on the web with FOAF: a semantic web case study
1. Human-centered computing
  1. Human computer interaction (HCI)
    1. Interaction paradigms
2. Information systems

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Information & Contributors

Information

Published In

cover image Guide Proceedings

AAAI'08: Proceedings of the 23rd national conference on Artificial intelligence - Volume 2

July 2008

1266 pages

ISBN:9781577353683

Editor:
Anthony Cohn
University of Leeds

Sponsors

Association for the Advancement of Artificial Intelligence

Publisher

AAAI Press

Publication History

Published: 13 July 2008

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Cited By

Kala AZayani CAmous IAbdelghani WSdes F(2018)Social collaborative service recommendation approach based on users trust and domain-specific expertiseFuture Generation Computer Systems10.1016/j.future.2017.05.03680:C(355-367)Online publication date: 1-Mar-2018
https://dl.acm.org/doi/10.1016/j.future.2017.05.036
Khapre SChauhan VTomar VMahapatra RBansal N(2017)A Method of Identifying User Identity Based on Username FeaturesInternational Journal of Handheld Computing Research10.4018/IJHCR.20171001018:4(1-22)Online publication date: 1-Oct-2017
https://dl.acm.org/doi/10.4018/IJHCR.2017100101
Chen HKu WWang HTang LSun M(2017)Scaling Up Markov Logic Probabilistic Inference for Social GraphsIEEE Transactions on Knowledge and Data Engineering10.1109/TKDE.2016.262525129:2(433-445)Online publication date: 1-Feb-2017
https://dl.acm.org/doi/10.1109/TKDE.2016.2625251
Wilder NSmith JMockus A(2016)Exploring a framework for identity and attribute linking across heterogeneous data systemsProceedings of the 2nd International Workshop on BIG Data Software Engineering10.1145/2896825.2896833(19-25)Online publication date: 14-May-2016
https://dl.acm.org/doi/10.1145/2896825.2896833
Kul GUpadhyaya SBertino EYou I(2015)A Preliminary Cyber Ontology for Insider Threats in the Financial SectorProceedings of the 7th ACM CCS International Workshop on Managing Insider Security Threats10.1145/2808783.2808793(75-78)Online publication date: 16-Oct-2015
https://dl.acm.org/doi/10.1145/2808783.2808793
Jain PYesilada YFarzan RHouben G(2015)Automated Methods for Identity Resolution across Heterogeneous Social PlatformsProceedings of the 26th ACM Conference on Hypertext & Social Media10.1145/2700171.2804448(307-310)Online publication date: 24-Aug-2015
https://dl.acm.org/doi/10.1145/2700171.2804448
Karuzaki ESavidis APaternò FSantoro CZiegler J(2014)Consolidating diverse user profiles based on the profile models of adaptive systemsProceedings of the 2014 ACM SIGCHI symposium on Engineering interactive computing systems10.1145/2607023.2610284(167-172)Online publication date: 17-Jun-2014
https://dl.acm.org/doi/10.1145/2607023.2610284
Jain PKumaraguru PJoshi ASchwabe DAlmeida VGlaser HBaeza-Yates RMoon S(2013)@i seek 'fb.me'Proceedings of the 22nd International Conference on World Wide Web10.1145/2487788.2488160(1259-1268)Online publication date: 13-May-2013
https://dl.acm.org/doi/10.1145/2487788.2488160
Layton RPerez CBirregah BWatters PLemercier M(2013)Indirect Information Linkage for OSINT through Authorship Analysis of AliasesRevised Selected Papers of PAKDD 2013 International Workshops on Trends and Applications in Knowledge Discovery and Data Mining - Volume 786710.1007/978-3-642-40319-4_4(36-46)Online publication date: 14-Apr-2013
https://dl.acm.org/doi/10.1007/978-3-642-40319-4_4
Akerkar RBădică CBurdescu DBurdescu DAkerkar RBădică C(2012)Desiderata for research in web intelligence, mining and semanticsProceedings of the 2nd International Conference on Web Intelligence, Mining and Semantics10.1145/2254129.2254131(1-5)Online publication date: 13-Jun-2012
https://dl.acm.org/doi/10.1145/2254129.2254131
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