Automated Evaluation of Annotators for Museum Collections using Subjective Logic

D. Ceolin; A. Nottamkandath; W.J. Fokkink

doi:10.1007/978-3-642-29852-3_18

Automated Evaluation of Annotators for Museum Collections using Subjective Logic

D. Ceolin, A. Nottamkandath, W.J. Fokkink

Research output: Chapter in Book / Report / Conference proceeding › Chapter › Academic › peer-review

Abstract

Museums are rapidly digitizing their collections, and face a huge challenge to annotate every digitized artifact in store. Therefore they are opening up their archives for receiving annotations from experts world-wide. This paper presents an architecture for choosing the most eligible set of annotators for a given artifact, based on semantic relatedness measures between the subject matter of the artifact and topics of expertise of the annotators. We also employ mechanisms for evaluating the quality of provided annotations, and constantly manage and update the trust, reputation and expertise information of registered annotators.

Original language	English
Title of host publication	IFIPTM 2012: Trust Management VI
Publisher	Springer
Pages	232-239
Number of pages	8
ISBN (Electronic)	9783642298523
ISBN (Print)	9783642298516
DOIs	https://doi.org/10.1007/978-3-642-29852-3_18
Publication status	Published - 2012
Event	IFIP Trust Management Conference - Duration: 1 Jan 2012 → 1 Jan 2012

Publication series

Name	IFIP Advances in Information and Communication Technology book series (IFIPAICT)
Publisher	International Federation for Information Processing (IFIP)
Volume	374
ISSN (Print)	1571-5736

Conference

Conference	IFIP Trust Management Conference
Period	1/01/12 → 1/01/12

Bibliographical note

Proceedings title: Trust Management VI - 6th IFIP WG 11.11 International Conference
Publisher: Springer
ISBN: 978-3-642-29851-6
Editors: D. Patel, H. McKnight, R. Moona, T. Dimitrakos

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10.1007/978-3-642-29852-3_18

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Cite this

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title = "Automated Evaluation of Annotators for Museum Collections using Subjective Logic",

abstract = "Museums are rapidly digitizing their collections, and face a huge challenge to annotate every digitized artifact in store. Therefore they are opening up their archives for receiving annotations from experts world-wide. This paper presents an architecture for choosing the most eligible set of annotators for a given artifact, based on semantic relatedness measures between the subject matter of the artifact and topics of expertise of the annotators. We also employ mechanisms for evaluating the quality of provided annotations, and constantly manage and update the trust, reputation and expertise information of registered annotators.",

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note = "Proceedings title: Trust Management VI - 6th IFIP WG 11.11 International Conference Publisher: Springer ISBN: 978-3-642-29851-6 Editors: D. Patel, H. McKnight, R. Moona, T. Dimitrakos; IFIP Trust Management Conference ; Conference date: 01-01-2012 Through 01-01-2012",

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Ceolin, D, Nottamkandath, A & Fokkink, WJ 2012, Automated Evaluation of Annotators for Museum Collections using Subjective Logic. in IFIPTM 2012: Trust Management VI . IFIP Advances in Information and Communication Technology book series (IFIPAICT), vol. 374, Springer, pp. 232-239, IFIP Trust Management Conference, 1/01/12. https://doi.org/10.1007/978-3-642-29852-3_18

Automated Evaluation of Annotators for Museum Collections using Subjective Logic. / Ceolin, D.; Nottamkandath, A.; Fokkink, W.J.
IFIPTM 2012: Trust Management VI . Springer, 2012. p. 232-239 ( IFIP Advances in Information and Communication Technology book series (IFIPAICT); Vol. 374).

Research output: Chapter in Book / Report / Conference proceeding › Chapter › Academic › peer-review

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AB - Museums are rapidly digitizing their collections, and face a huge challenge to annotate every digitized artifact in store. Therefore they are opening up their archives for receiving annotations from experts world-wide. This paper presents an architecture for choosing the most eligible set of annotators for a given artifact, based on semantic relatedness measures between the subject matter of the artifact and topics of expertise of the annotators. We also employ mechanisms for evaluating the quality of provided annotations, and constantly manage and update the trust, reputation and expertise information of registered annotators.

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ER -

Automated Evaluation of Annotators for Museum Collections using Subjective Logic

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