Article

Harvesting social knowledge from folksonomies

Authors:

Harris Wu,

Mohammad Zubair,

Kurt MalyAuthors Info & Claims

HYPERTEXT '06: Proceedings of the seventeenth conference on Hypertext and hypermedia

Pages 111 - 114

https://doi.org/10.1145/1149941.1149962

Published: 22 August 2006 Publication History

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Abstract

Collaborative tagging systems, or folksonomies, have the potential of becoming technological infrastructure to support knowledge management activities in an organization or a society. There are many challenges, however. This paper presents designs that enhance collaborative tagging systems to meet some key challenges: community identification, ontology generation, user and document recommendation. Design prototypes, evaluation methodology and selected preliminary results are presented.

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Cited By

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Collins NVolkheimer JMurphy J(2022)Who's WhoResearch Anthology on Fandoms, Online Social Communities, and Pop Culture10.4018/978-1-6684-4515-0.ch006(84-100)Online publication date: 2022
https://doi.org/10.4018/978-1-6684-4515-0.ch006
Collins NVolkheimer JMurphy J(2020)Who's WhoHandbook of Research on the Impact of Fandom in Society and Consumerism10.4018/978-1-7998-1048-3.ch001(1-17)Online publication date: 2020
https://doi.org/10.4018/978-1-7998-1048-3.ch001
Cevolini A(2019)The memory of tagsThe Indexer10.3828/indexer.2019.2837:3(211-222)Online publication date: Sep-2019
https://doi.org/10.3828/indexer.2019.28
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Index Terms

Harvesting social knowledge from folksonomies

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Information

Published In

HYPERTEXT '06: Proceedings of the seventeenth conference on Hypertext and hypermedia

August 2006

178 pages

ISBN:1595934170

DOI:10.1145/1149941

General Chair:
Uffe K. Wiil
University of Southern Denmark
,
Program Chairs:
Peter J. Nürnberg
Aalborg University Esbjerg, Denmark
,
Jessica Rubart
Sagem Orga, Germany

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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SIGCAS: ACM Special Interest Group on Computers and Society

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 22 August 2006

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HT06

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HT06: 17th Conference on Hypertext and Hypermedia

August 22 - 25, 2006

Odense, Denmark

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Overall Acceptance Rate 378 of 1,158 submissions, 33%

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Cited By

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Collins NVolkheimer JMurphy J(2022)Who's WhoResearch Anthology on Fandoms, Online Social Communities, and Pop Culture10.4018/978-1-6684-4515-0.ch006(84-100)Online publication date: 2022
https://doi.org/10.4018/978-1-6684-4515-0.ch006
Collins NVolkheimer JMurphy J(2020)Who's WhoHandbook of Research on the Impact of Fandom in Society and Consumerism10.4018/978-1-7998-1048-3.ch001(1-17)Online publication date: 2020
https://doi.org/10.4018/978-1-7998-1048-3.ch001
Cevolini A(2019)The memory of tagsThe Indexer10.3828/indexer.2019.2837:3(211-222)Online publication date: Sep-2019
https://doi.org/10.3828/indexer.2019.28
Bian RKoh YDobbie GDivoli A(2019)Identifying Top-k Nodes in Social NetworksACM Computing Surveys10.1145/330128652:1(1-33)Online publication date: 13-Feb-2019
https://dl.acm.org/doi/10.1145/3301286
Lee YChu T(2019)An Incremental Clustering Approach to Personalized Tag RecommendationsHCI in Business, Government and Organizations. Information Systems and Analytics10.1007/978-3-030-22338-0_17(209-220)Online publication date: 14-Jun-2019
https://doi.org/10.1007/978-3-030-22338-0_17
Lugovic S(2018)Overview of Approaches and Future Challenges for Development of Music Recommendation Socio-Technical SystemsInformation Retrieval and Management10.4018/978-1-5225-5191-1.ch103(2312-2336)Online publication date: 2018
https://doi.org/10.4018/978-1-5225-5191-1.ch103
Collins NMurphy J(2018)Segmenting Fan CommunitiesExploring the Rise of Fandom in Contemporary Consumer Culture10.4018/978-1-5225-3220-0.ch001(1-17)Online publication date: 2018
https://doi.org/10.4018/978-1-5225-3220-0.ch001
Navarro Bullock BHotho AStumme G(2018)Accessing Information with Tags: Search and RankingSocial Information Access10.1007/978-3-319-90092-6_9(310-343)Online publication date: 3-May-2018
https://doi.org/10.1007/978-3-319-90092-6_9
Stan JMaret P(2018)Social Bookmarking or TaggingEncyclopedia of Social Network Analysis and Mining10.1007/978-1-4939-7131-2_91(2545-2554)Online publication date: 12-Jun-2018
https://doi.org/10.1007/978-1-4939-7131-2_91
Sunahase TBaba YKashima HSingh SMarkovitch S(2017)Pairwise HITSProceedings of the Thirty-First AAAI Conference on Artificial Intelligence10.5555/3298239.3298383(977-983)Online publication date: 4-Feb-2017
https://dl.acm.org/doi/10.5555/3298239.3298383
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Semantic similarity measures for enhancing information retrieval in folksonomies

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