Article

Towards effective browsing of large scale social annotations

Authors:

Zhong SuAuthors Info & Claims

WWW '07: Proceedings of the 16th international conference on World Wide Web

Pages 943 - 952

https://doi.org/10.1145/1242572.1242700

Published: 08 May 2007 Publication History

Abstract

This paper is concerned with the problem of browsing social annotations. Today, a lot of services (e.g., Del.icio.us, Filckr) have been provided for helping users to manage and share their favorite URLs and photos based on social annotations. Due to the exponential increasing of the social annotations, more and more users, however, are facing the problem how to effectively find desired resources from large annotation data. Existing methods such as tag cloud and annotation matching work well only on small annotation sets. Thus, an effective approach for browsing large scale annotation sets and the associated resources is in great demand by both ordinary users and service providers. In this paper, we propose a novel algorithm, namely Effective Large Scale Annotation Browser (ELSABer), to browse large-scale social annotation data. ELSABer helps the users browse huge number of annotations in a semantic, hierarchical and efficient way. More specifically, ELSABer has the following features: 1) the semantic relations between annotations are explored for browsing of similar resources; 2) the hierarchical relations between annotations are constructed for browsing in a top-down fashion; 3) the distribution of social annotations is studied for efficient browsing. By incorporating the personal and time information, ELSABer can be further extended for personalized and time-related browsing. A prototype system is implemented and shows promising results.

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Cited By

Nanda GLehto M(2023)Design and Development of Collaborative Hub for Safety and Reliability AnalysisSystems Collaboration and Integration10.1007/978-3-031-44373-2_11(181-198)Online publication date: 18-Oct-2023
https://doi.org/10.1007/978-3-031-44373-2_11
Rinaldi A(2019)Web Summarization and Browsing Through Semantic Tag CloudsInternational Journal of Intelligent Information Technologies10.4018/IJIIT.201907010115:3(1-23)Online publication date: 1-Jul-2019
https://doi.org/10.4018/IJIIT.2019070101
Saleh IEl-Tazi N(2018)Finding Semantic Relationships in Folksonomies2018 IEEE/WIC/ACM International Conference on Web Intelligence (WI)10.1109/WI.2018.00-92(174-181)Online publication date: Dec-2018
https://doi.org/10.1109/WI.2018.00-92
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Index Terms

Towards effective browsing of large scale social annotations
1. Information systems
  1. Information retrieval
    1. Retrieval tasks and goals
      1. Document filtering
      2. Information extraction

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cover image ACM Conferences

WWW '07: Proceedings of the 16th international conference on World Wide Web

May 2007

1382 pages

ISBN:9781595936547

DOI:10.1145/1242572

General Chairs:
Carey Williamson
University of Calgary, Canada
,
Mary Ellen Zurko
IBM, USA
,
Program Chairs:
Peter Patel-Schneider
Bell Labs Research, USA
,
Prashant Shenoy
University of Massachusetts at Amherst, USA

Copyright © 2007 ACM.

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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Published: 08 May 2007

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WWW'07: 16th International World Wide Web Conference

May 8 - 12, 2007

Alberta, Banff, Canada

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Overall Acceptance Rate 1,899 of 8,196 submissions, 23%

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Cited By

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https://doi.org/10.1007/978-3-031-44373-2_11
Rinaldi A(2019)Web Summarization and Browsing Through Semantic Tag CloudsInternational Journal of Intelligent Information Technologies10.4018/IJIIT.201907010115:3(1-23)Online publication date: 1-Jul-2019
https://doi.org/10.4018/IJIIT.2019070101
Saleh IEl-Tazi N(2018)Finding Semantic Relationships in Folksonomies2018 IEEE/WIC/ACM International Conference on Web Intelligence (WI)10.1109/WI.2018.00-92(174-181)Online publication date: Dec-2018
https://doi.org/10.1109/WI.2018.00-92
Dimitrov DHelic DStrohmaier M(2018)Tag-Based Navigation and VisualizationSocial Information Access10.1007/978-3-319-90092-6_6(181-212)Online publication date: 3-May-2018
https://doi.org/10.1007/978-3-319-90092-6_6
Keshavarz HAbadeh M(2017)Accurate frequency-based lexicon generation for opinion miningJournal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology10.3233/JIFS-1656233:4(2223-2234)Online publication date: 1-Jan-2017
https://dl.acm.org/doi/10.3233/JIFS-16562
Chen CLuo P(2017)Enhancing Navigability: An Algorithm for Constructing Tag TreesJournal of Data and Information Science10.1515/jdis-2017-00082:2(56-75)Online publication date: 21-Mar-2017
https://doi.org/10.1515/jdis-2017-0008
Wei JMeng F(2017)Personalized information recommendation based on synonymy tag optimizationCluster Computing10.1007/s10586-017-1306-522:S3(5467-5478)Online publication date: 8-Nov-2017
https://doi.org/10.1007/s10586-017-1306-5
Gayoso-Cabada JRodríguez-Cerezo DSierra J(2017)Browsing Digital Collections with Reconfigurable Faceted ThesauriComplexity in Information Systems Development10.1007/978-3-319-52593-8_5(69-86)Online publication date: 19-Apr-2017
https://doi.org/10.1007/978-3-319-52593-8_5
Singh RGulwani S(2016)Transforming spreadsheet data types using examplesACM SIGPLAN Notices10.1145/2914770.283766851:1(343-356)Online publication date: 11-Jan-2016
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Brown MPalsberg J(2016)Breaking through the normalization barrier: a self-interpreter for f-omegaACM SIGPLAN Notices10.1145/2914770.283762351:1(5-17)Online publication date: 11-Jan-2016
https://dl.acm.org/doi/10.1145/2914770.2837623
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