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Computing similarity between items in a digital library of cultural heritage

Authors:

Nikolaos Aletras,

Mark Stevenson,

Paul CloughAuthors Info & Claims

Journal on Computing and Cultural Heritage (JOCCH), Volume 5, Issue 4

Article No.: 16, Pages 1 - 19

https://doi.org/10.1145/2399180.2399184

Published: 09 January 2013 Publication History

Abstract

Large amounts of cultural heritage content have now been digitized and are available in digital libraries. However, these are often unstructured and difficult to navigate. Automatic techniques for identifying similar items in these collections could be used to improve navigation since it would allow items that are implicitly connected to be linked together and allow sets of similar items to be clustered. Europeana is a large digital library containing more than 20 million digital objects from a set of cultural heritage providers throughout Europe. The diverse nature of this collection means that the items do not have standard metadata to assist navigation.

A range of methods for computing the similarity between pairs of texts are applied to metadata records in Europeana in order to estimate the similarity between items. Various methods for computing similarity have been proposed and can be classified into two main approaches: (1) knowledge-based, which make use of external knowledge sources and (2) corpus-based approaches, which rely on analyzing the frequency distributions of words in documents. Both techniques are evaluated against manual judgements obtained for this study and a multiple-choice test created from manually generated categories in cultural heritage collections. We find that a combination of corpus and knowledge-based approaches provide the best results in both experiments.

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Ali DBlyau TVan de Weghe NVerstockt S(2022)Context-Aware Querying, Geolocalization, and Rephotography of Historical Newspaper ImagesApplied Sciences10.3390/app12211106312:21(11063)Online publication date: 1-Nov-2022
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Das SMandal S(2021)Object Spotting in Historical DocumentsDigital Techniques for Heritage Presentation and Preservation10.1007/978-3-030-57907-4_5(75-105)Online publication date: 18-Mar-2021
https://doi.org/10.1007/978-3-030-57907-4_5
Papachristopoulos LTsakonas GBoudourides MSfakakis MKleidis NLenis SPapatheodorou C(2019)Discovering the structure and impact of the digital library evaluation domainInternational Journal on Digital Libraries10.1007/s00799-017-0222-x20:2(125-141)Online publication date: 1-Jun-2019
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Index Terms

Computing similarity between items in a digital library of cultural heritage
1. Applied computing
  1. Document management and text processing
    1. Document management
2. Computing methodologies
  1. Artificial intelligence
    1. Natural language processing
  2. Machine learning
    1. Learning paradigms
      1. Unsupervised learning
        Cluster analysis

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Published In

cover image Journal on Computing and Cultural Heritage

Journal on Computing and Cultural Heritage Volume 5, Issue 4

December 2012

87 pages

ISSN:1556-4673

EISSN:1556-4711

DOI:10.1145/2399180

Issue’s Table of Contents

Copyright © 2013 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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Association for Computing Machinery

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Publication History

Published: 09 January 2013

Accepted: 01 September 2012

Revised: 01 July 2012

Received: 01 December 2011

Published in JOCCH Volume 5, Issue 4

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Cited By

Ali DBlyau TVan de Weghe NVerstockt S(2022)Context-Aware Querying, Geolocalization, and Rephotography of Historical Newspaper ImagesApplied Sciences10.3390/app12211106312:21(11063)Online publication date: 1-Nov-2022
https://doi.org/10.3390/app122111063
Das SMandal S(2021)Object Spotting in Historical DocumentsDigital Techniques for Heritage Presentation and Preservation10.1007/978-3-030-57907-4_5(75-105)Online publication date: 18-Mar-2021
https://doi.org/10.1007/978-3-030-57907-4_5
Papachristopoulos LTsakonas GBoudourides MSfakakis MKleidis NLenis SPapatheodorou C(2019)Discovering the structure and impact of the digital library evaluation domainInternational Journal on Digital Libraries10.1007/s00799-017-0222-x20:2(125-141)Online publication date: 1-Jun-2019
https://dl.acm.org/doi/10.1007/s00799-017-0222-x
Jang JHa BLee B(2018)Survey and Analysis of Interactive Art Documentation, 1979–2017Leonardo10.1162/leon_a_01716(298-299)Online publication date: 21-Dec-2018
https://doi.org/10.1162/leon_a_01716
Das SMandal S(2018)Figure spotting in Indian heritage imageJournal of Cultural Heritage10.1016/j.culher.2017.12.01232(133-143)Online publication date: Jul-2018
https://doi.org/10.1016/j.culher.2017.12.012
Muralikumar JSeelan SVijayakumar NBalasubramanian V(2017)A statistical approach for modeling inter-document semantic relationships in digital librariesJournal of Intelligent Information Systems10.1007/s10844-016-0423-648:3(477-498)Online publication date: 1-Jun-2017
https://dl.acm.org/doi/10.1007/s10844-016-0423-6
Gonzalez-Agirre ARigau GAgirre EAletras NStevenson M(2016)Why are these similar? Investigating item similarity types in a large digital libraryJournal of the Association for Information Science and Technology10.1002/asi.2348267:7(1624-1638)Online publication date: 1-Jul-2016
https://dl.acm.org/doi/10.1002/asi.23482
Chae GPark JPark JYeo WShi C(2016)Linking and clustering artworks using social tagsJournal of the Association for Information Science and Technology10.1002/asi.2344267:4(885-899)Online publication date: 1-Apr-2016
https://dl.acm.org/doi/10.1002/asi.23442
Bounhas IElayeb BEvrard FSlimani Y(2015)Information Reliability EvaluationJournal on Computing and Cultural Heritage 10.1145/26938478:3(1-33)Online publication date: 13-Apr-2015
https://dl.acm.org/doi/10.1145/2693847
Otegi AAgirre EClough PBuchanan GKlein MRauber ACunningham S(2014)Personalised PageRank for making recommendations in digital cultural heritage collectionsProceedings of the 14th ACM/IEEE-CS Joint Conference on Digital Libraries10.5555/2740769.2740778(49-52)Online publication date: 8-Sep-2014
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