Searching and Analyzing Coin Finds with a Linked Data Based Web Application

Heikki Rantala; Eljas Oksanen; Frida Ehrnsten; Eero Hyvönen

doi:10.1007/978-3-031-78952-6_45

Searching and Analyzing Coin Finds with a Linked Data Based Web Application

Heikki Rantala^*, Eljas Oksanen, Frida Ehrnsten, Eero Hyvönen

^*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review

Abstract

This paper presents the CoinSampo demonstrator, a web application and data service created to open data on numismatic citizen finds reported in Finland between 2013 and 2023. The data has been converted to Linked Open Data (LOD) using light weight ontologies that were based on the data. The CoinSampo web application queries a knowledge graph with SPARQL, and offers users faceted search and various visualization options for data analysis. The application is aimed at researchers, heritage professionals, citizen scientists, amateur archaeologists, educators and the general public. We will also show how the underlying user interface framework can be applied to other similar data such as the finds data of the British Museum.

Original language	English
Title of host publication	The Semantic Web
Subtitle of host publication	ESWC 2024 Satellite Events, Proceedings
Editors	Albert Meroño Peñuela, Oscar Corcho, Paul Groth, Elena Simperl, Valentina Tamma, Andrea Giovanni Nuzzolese, Maria Poveda-Villalón, Marta Sabou, Valentina Presutti, Irene Celino, Artem Revenko, Joe Raad, Bruno Sartini, Pasquale Lisena
Publisher	Springer
Pages	296-300
Number of pages	5
ISBN (Print)	978-3-031-78951-9
DOIs	https://doi.org/10.1007/978-3-031-78952-6_45
Publication status	Published - 28 Jan 2025
MoE publication type	A4 Conference publication
Event	Extended Semantic Web Conference - Hersonissos, Greece Duration: 26 May 2024 → 30 May 2024 Conference number: 21

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	15344 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	Extended Semantic Web Conference
Abbreviated title	ESWC
Country/Territory	Greece
City	Hersonissos
Period	26/05/2024 → 30/05/2024

Access to Document

10.1007/978-3-031-78952-6_45

https://2024.eswc-conferences.org/wp-content/uploads/2024/05/77770285.pdf

Cite this

Rantala, H., Oksanen, E., Ehrnsten, F., & Hyvönen, E. (2025). Searching and Analyzing Coin Finds with a Linked Data Based Web Application. In A. Meroño Peñuela, O. Corcho, P. Groth, E. Simperl, V. Tamma, A. G. Nuzzolese, M. Poveda-Villalón, M. Sabou, V. Presutti, I. Celino, A. Revenko, J. Raad, B. Sartini, & P. Lisena (Eds.), The Semantic Web: ESWC 2024 Satellite Events, Proceedings (pp. 296-300). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 15344 LNCS). Springer. https://doi.org/10.1007/978-3-031-78952-6_45

Rantala, Heikki ; Oksanen, Eljas ; Ehrnsten, Frida et al. / Searching and Analyzing Coin Finds with a Linked Data Based Web Application. The Semantic Web: ESWC 2024 Satellite Events, Proceedings. editor / Albert Meroño Peñuela ; Oscar Corcho ; Paul Groth ; Elena Simperl ; Valentina Tamma ; Andrea Giovanni Nuzzolese ; Maria Poveda-Villalón ; Marta Sabou ; Valentina Presutti ; Irene Celino ; Artem Revenko ; Joe Raad ; Bruno Sartini ; Pasquale Lisena. Springer, 2025. pp. 296-300 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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title = "Searching and Analyzing Coin Finds with a Linked Data Based Web Application",

abstract = "This paper presents the CoinSampo demonstrator, a web application and data service created to open data on numismatic citizen finds reported in Finland between 2013 and 2023. The data has been converted to Linked Open Data (LOD) using light weight ontologies that were based on the data. The CoinSampo web application queries a knowledge graph with SPARQL, and offers users faceted search and various visualization options for data analysis. The application is aimed at researchers, heritage professionals, citizen scientists, amateur archaeologists, educators and the general public. We will also show how the underlying user interface framework can be applied to other similar data such as the finds data of the British Museum.",

author = "Heikki Rantala and Eljas Oksanen and Frida Ehrnsten and Eero Hyv{\"o}nen",

note = "Publisher Copyright: {\textcopyright} The Author(s), under exclusive license to Springer Nature Switzerland AG 2025.; Extended Semantic Web Conference, ESWC ; Conference date: 26-05-2024 Through 30-05-2024",

year = "2025",

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doi = "10.1007/978-3-031-78952-6_45",

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editor = "{Mero{\~n}o Pe{\~n}uela}, Albert and Oscar Corcho and Paul Groth and Elena Simperl and Valentina Tamma and Nuzzolese, {Andrea Giovanni} and Maria Poveda-Villal{\'o}n and Marta Sabou and Valentina Presutti and Irene Celino and Artem Revenko and Joe Raad and Bruno Sartini and Pasquale Lisena",

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Rantala, H, Oksanen, E, Ehrnsten, F & Hyvönen, E 2025, Searching and Analyzing Coin Finds with a Linked Data Based Web Application. in A Meroño Peñuela, O Corcho, P Groth, E Simperl, V Tamma, AG Nuzzolese, M Poveda-Villalón, M Sabou, V Presutti, I Celino, A Revenko, J Raad, B Sartini & P Lisena (eds), The Semantic Web: ESWC 2024 Satellite Events, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 15344 LNCS, Springer, pp. 296-300, Extended Semantic Web Conference, Hersonissos, Greece, 26/05/2024. https://doi.org/10.1007/978-3-031-78952-6_45

Searching and Analyzing Coin Finds with a Linked Data Based Web Application. / Rantala, Heikki; Oksanen, Eljas; Ehrnsten, Frida et al.
The Semantic Web: ESWC 2024 Satellite Events, Proceedings. ed. / Albert Meroño Peñuela; Oscar Corcho; Paul Groth; Elena Simperl; Valentina Tamma; Andrea Giovanni Nuzzolese; Maria Poveda-Villalón; Marta Sabou; Valentina Presutti; Irene Celino; Artem Revenko; Joe Raad; Bruno Sartini; Pasquale Lisena. Springer, 2025. p. 296-300 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 15344 LNCS).

Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review

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T1 - Searching and Analyzing Coin Finds with a Linked Data Based Web Application

AU - Rantala, Heikki

AU - Oksanen, Eljas

AU - Ehrnsten, Frida

AU - Hyvönen, Eero

N1 - Conference code: 21

PY - 2025/1/28

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N2 - This paper presents the CoinSampo demonstrator, a web application and data service created to open data on numismatic citizen finds reported in Finland between 2013 and 2023. The data has been converted to Linked Open Data (LOD) using light weight ontologies that were based on the data. The CoinSampo web application queries a knowledge graph with SPARQL, and offers users faceted search and various visualization options for data analysis. The application is aimed at researchers, heritage professionals, citizen scientists, amateur archaeologists, educators and the general public. We will also show how the underlying user interface framework can be applied to other similar data such as the finds data of the British Museum.

AB - This paper presents the CoinSampo demonstrator, a web application and data service created to open data on numismatic citizen finds reported in Finland between 2013 and 2023. The data has been converted to Linked Open Data (LOD) using light weight ontologies that were based on the data. The CoinSampo web application queries a knowledge graph with SPARQL, and offers users faceted search and various visualization options for data analysis. The application is aimed at researchers, heritage professionals, citizen scientists, amateur archaeologists, educators and the general public. We will also show how the underlying user interface framework can be applied to other similar data such as the finds data of the British Museum.

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SN - 978-3-031-78951-9

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

SP - 296

EP - 300

BT - The Semantic Web

A2 - Meroño Peñuela, Albert

A2 - Corcho, Oscar

A2 - Groth, Paul

A2 - Simperl, Elena

A2 - Tamma, Valentina

A2 - Nuzzolese, Andrea Giovanni

A2 - Poveda-Villalón, Maria

A2 - Sabou, Marta

A2 - Presutti, Valentina

A2 - Celino, Irene

A2 - Revenko, Artem

A2 - Raad, Joe

A2 - Sartini, Bruno

A2 - Lisena, Pasquale

PB - Springer

T2 - Extended Semantic Web Conference

Y2 - 26 May 2024 through 30 May 2024

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Rantala H, Oksanen E, Ehrnsten F, Hyvönen E. Searching and Analyzing Coin Finds with a Linked Data Based Web Application. In Meroño Peñuela A, Corcho O, Groth P, Simperl E, Tamma V, Nuzzolese AG, Poveda-Villalón M, Sabou M, Presutti V, Celino I, Revenko A, Raad J, Sartini B, Lisena P, editors, The Semantic Web: ESWC 2024 Satellite Events, Proceedings. Springer. 2025. p. 296-300. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-031-78952-6_45

Searching and Analyzing Coin Finds with a Linked Data Based Web Application

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