research-article

Harvana: harvesting community tags to enrich collection metadata

Authors:

Anna GerberAuthors Info & Claims

JCDL '08: Proceedings of the 8th ACM/IEEE-CS joint conference on Digital libraries

Pages 147 - 156

https://doi.org/10.1145/1378889.1378916

Published: 16 June 2008 Publication History

Abstract

Collaborative, social tagging and annotation systems have exploded on the Internet as part of the Web 2.0 phenomenon. Systems such as Flickr, Del.icio.us, Technorati, Connotea and LibraryThing, provide a community-driven approach to classifying information and resources on the Web, so that they can be browsed, discovered and re-used. Although social tagging sites provide simple, user-relevant tags, there are issues associated with the quality of the metadata and the scalability compared with conventional indexing systems. In this paper we propose a hybrid approach that enables authoritative metadata generated by traditional cataloguing methods to be merged with community annotations and tags. The HarvANA (Harvesting and Aggregating Networked Annotations) system uses a standardized but extensible RDF model for representing the annotations/tags and OAI-PMH to harvest the annotations/tags from distributed community servers. The harvested annotations are aggregated with the authoritative metadata in a centralized metadata store. This streamlined, interoperable, scalable approach enables libraries, archives and repositories to leverage community enthusiasm for tagging and annotation, augment their metadata and enhance their discovery services. This paper describes the HarvANA system and its evaluation through a collaborative testbed with the National Library of Australia using architectural images from PictureAustralia.

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https://doi.org/10.1007/s00354-019-00063-1
Simon RBarker EIsaksen LDe Soto CaÑamares P(2017)Linked Data Annotation Without the Pointy Brackets: Introducing Recogito 2Journal of Map & Geography Libraries10.1080/15420353.2017.130730313:1(111-132)Online publication date: 11-May-2017
https://doi.org/10.1080/15420353.2017.1307303
Tuovinen LKahelin JRoning J(2015)A conceptual framework for middle-up-down semantic annotation of online 3D scenesProceedings of the 2015 IEEE 9th International Conference on Semantic Computing (IEEE ICSC 2015)10.1109/ICOSC.2015.7050853(464-469)Online publication date: Feb-2015
https://doi.org/10.1109/ICOSC.2015.7050853
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Index Terms

Harvana: harvesting community tags to enrich collection metadata
1. Applied computing
  1. Computers in other domains
    1. Digital libraries and archives
2. Information systems

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Published In

cover image ACM Conferences

JCDL '08: Proceedings of the 8th ACM/IEEE-CS joint conference on Digital libraries

June 2008

490 pages

ISBN:9781595939982

DOI:10.1145/1378889

General Chair:
Ronald Larsen
University of Pittsburgh, USA
,
Program Chairs:
Andreas Paepcke
Stanford University, USA
,
José Borbinha
INESC-ID, Portugal
,
Mor Naaman
Yahoo! Research Berkeley, USA

Copyright © 2008 ACM.

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Published: 16 June 2008

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JCDL '08 Paper Acceptance Rate 33 of 117 submissions, 28%;

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Cited By

Chanhom WAnutariya C(2019)TOMS: A Linked Open Data System for Collaboration and Distribution of Cultural Heritage Artifact Collections of National Museums in ThailandNew Generation Computing10.1007/s00354-019-00063-137:4(479-498)Online publication date: 10-Aug-2019
https://doi.org/10.1007/s00354-019-00063-1
Simon RBarker EIsaksen LDe Soto CaÑamares P(2017)Linked Data Annotation Without the Pointy Brackets: Introducing Recogito 2Journal of Map & Geography Libraries10.1080/15420353.2017.130730313:1(111-132)Online publication date: 11-May-2017
https://doi.org/10.1080/15420353.2017.1307303
Tuovinen LKahelin JRoning J(2015)A conceptual framework for middle-up-down semantic annotation of online 3D scenesProceedings of the 2015 IEEE 9th International Conference on Semantic Computing (IEEE ICSC 2015)10.1109/ICOSC.2015.7050853(464-469)Online publication date: Feb-2015
https://doi.org/10.1109/ICOSC.2015.7050853
Dantas JSilveira R(2014)Virtual Communities as Contributors for Digital Objects Metadata GenerationCyber Behavior10.4018/978-1-4666-5942-1.ch061(1182-1198)Online publication date: 2014
https://doi.org/10.4018/978-1-4666-5942-1.ch061
Flotynski J(2013)Harvesting of semantic metadata from distributed 3D web content2013 6th International Conference on Human System Interactions (HSI)10.1109/HSI.2013.6577822(193-200)Online publication date: Jun-2013
https://doi.org/10.1109/HSI.2013.6577822
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Tatarintseva OErmolayev VKeller BMatzke W(2013)Quantifying Ontology Fitness in OntoElect Using Saturation- and Vote-Based MetricsInformation and Communication Technologies in Education, Research, and Industrial Applications10.1007/978-3-319-03998-5_8(136-162)Online publication date: 2013
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Zhang YDeng QXing CSun YWhitney M(2012)A Service Component Model and Implementation for Institutional RepositoriesGrid and Cloud Computing10.4018/978-1-4666-0879-5.ch2.8(466-486)Online publication date: 30-Apr-2012
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