Hierarchical structuring of cultural heritage objects within large aggregations

Shenghui Wang; Antoine Isaac; Valentine Charles; Rob Koopman; Anthi Agoropoulou; Titia Van Der Werf

doi:10.1007/978-3-642-40501-3_25

Hierarchical structuring of cultural heritage objects within large aggregations

Shenghui Wang, Antoine Isaac, Valentine Charles, Rob Koopman, Anthi Agoropoulou, Titia Van Der Werf

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

7 Citations (Scopus)

Abstract

Huge amounts of cultural content have been digitised and are available through digital libraries and aggregators like Europeana.eu. However, it is not easy for a user to have an overall picture of what is available nor to find related objects. We propose a method for hierarchically structuring cultural objects at different similarity levels. We describe a fast, scalable clustering algorithm with an automated field selection method for finding semantic clusters. We report a qualitative evaluation on the cluster categories based on records from the UK and a quantitative one on the results from the complete Europeana dataset.

Original language	English
Title of host publication	Research and Advanced Technology for Digital Libraries - International Conference on Theory and Practice of Digital Libraries, TPDL 2013, Proceedings
Pages	247-259
Number of pages	13
DOIs	https://doi.org/10.1007/978-3-642-40501-3_25
Publication status	Published - 3 Oct 2013
Externally published	Yes
Event	17th International Conference on Theory and Practice of Digital Libraries, TPDL 2013 - Grand Hotel Excelsior, Valletta, Malta Duration: 22 Sept 2013 → 26 Sept 2013 Conference number: 17 http://tpdl2013.upatras.gr/

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	8092 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	17th International Conference on Theory and Practice of Digital Libraries, TPDL 2013
Abbreviated title	TPDL 2013
Country/Territory	Malta
City	Valletta
Period	22/09/13 → 26/09/13
Internet address	http://tpdl2013.upatras.gr/

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.1007/978-3-642-40501-3_25

Cite this

Wang, S., Isaac, A., Charles, V., Koopman, R., Agoropoulou, A., & Van Der Werf, T. (2013). Hierarchical structuring of cultural heritage objects within large aggregations. In Research and Advanced Technology for Digital Libraries - International Conference on Theory and Practice of Digital Libraries, TPDL 2013, Proceedings (pp. 247-259). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 8092 LNCS). https://doi.org/10.1007/978-3-642-40501-3_25

Wang, Shenghui ; Isaac, Antoine ; Charles, Valentine et al. / Hierarchical structuring of cultural heritage objects within large aggregations. Research and Advanced Technology for Digital Libraries - International Conference on Theory and Practice of Digital Libraries, TPDL 2013, Proceedings. 2013. pp. 247-259 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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title = "Hierarchical structuring of cultural heritage objects within large aggregations",

abstract = "Huge amounts of cultural content have been digitised and are available through digital libraries and aggregators like Europeana.eu. However, it is not easy for a user to have an overall picture of what is available nor to find related objects. We propose a method for hierarchically structuring cultural objects at different similarity levels. We describe a fast, scalable clustering algorithm with an automated field selection method for finding semantic clusters. We report a qualitative evaluation on the cluster categories based on records from the UK and a quantitative one on the results from the complete Europeana dataset.",

author = "Shenghui Wang and Antoine Isaac and Valentine Charles and Rob Koopman and Anthi Agoropoulou and {Van Der Werf}, Titia",

year = "2013",

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Wang, S, Isaac, A, Charles, V, Koopman, R, Agoropoulou, A & Van Der Werf, T 2013, Hierarchical structuring of cultural heritage objects within large aggregations. in Research and Advanced Technology for Digital Libraries - International Conference on Theory and Practice of Digital Libraries, TPDL 2013, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 8092 LNCS, pp. 247-259, 17th International Conference on Theory and Practice of Digital Libraries, TPDL 2013, Valletta, Malta, 22/09/13. https://doi.org/10.1007/978-3-642-40501-3_25

Hierarchical structuring of cultural heritage objects within large aggregations. / Wang, Shenghui; Isaac, Antoine; Charles, Valentine et al.
Research and Advanced Technology for Digital Libraries - International Conference on Theory and Practice of Digital Libraries, TPDL 2013, Proceedings. 2013. p. 247-259 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 8092 LNCS).

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

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T1 - Hierarchical structuring of cultural heritage objects within large aggregations

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AU - Isaac, Antoine

AU - Charles, Valentine

AU - Koopman, Rob

AU - Agoropoulou, Anthi

AU - Van Der Werf, Titia

N1 - Conference code: 17

PY - 2013/10/3

Y1 - 2013/10/3

N2 - Huge amounts of cultural content have been digitised and are available through digital libraries and aggregators like Europeana.eu. However, it is not easy for a user to have an overall picture of what is available nor to find related objects. We propose a method for hierarchically structuring cultural objects at different similarity levels. We describe a fast, scalable clustering algorithm with an automated field selection method for finding semantic clusters. We report a qualitative evaluation on the cluster categories based on records from the UK and a quantitative one on the results from the complete Europeana dataset.

AB - Huge amounts of cultural content have been digitised and are available through digital libraries and aggregators like Europeana.eu. However, it is not easy for a user to have an overall picture of what is available nor to find related objects. We propose a method for hierarchically structuring cultural objects at different similarity levels. We describe a fast, scalable clustering algorithm with an automated field selection method for finding semantic clusters. We report a qualitative evaluation on the cluster categories based on records from the UK and a quantitative one on the results from the complete Europeana dataset.

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U2 - 10.1007/978-3-642-40501-3_25

DO - 10.1007/978-3-642-40501-3_25

M3 - Conference contribution

AN - SCOPUS:84884715286

SN - 9783642405006

T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

SP - 247

EP - 259

BT - Research and Advanced Technology for Digital Libraries - International Conference on Theory and Practice of Digital Libraries, TPDL 2013, Proceedings

T2 - 17th International Conference on Theory and Practice of Digital Libraries, TPDL 2013

Y2 - 22 September 2013 through 26 September 2013

ER -

Wang S, Isaac A, Charles V, Koopman R, Agoropoulou A, Van Der Werf T. Hierarchical structuring of cultural heritage objects within large aggregations. In Research and Advanced Technology for Digital Libraries - International Conference on Theory and Practice of Digital Libraries, TPDL 2013, Proceedings. 2013. p. 247-259. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-642-40501-3_25

Hierarchical structuring of cultural heritage objects within large aggregations

Abstract

Publication series

Conference

UN SDGs

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