A Survey of Geospatial Semantic Web for Cultural Heritage

The amount of digital cultural heritage data produced by cultural heritage institutions is growing rapidly. Digital cultural heritage repositories have therefore become an efficient and effective way to disseminate and exploit digital cultural heritage data. However, many digital cultural heritage r...

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Main Authors: Champion, Erik, Nishanbaev, Ikrom, McMeekin, David
Format: Journal Article
Published: 2019
Online Access:https://doi.org/10.3390/heritage2020093
http://hdl.handle.net/20.500.11937/75515
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author Champion, Erik
Nishanbaev, Ikrom
McMeekin, David
author_facet Champion, Erik
Nishanbaev, Ikrom
McMeekin, David
author_sort Champion, Erik
building Curtin Institutional Repository
collection Online Access
description The amount of digital cultural heritage data produced by cultural heritage institutions is growing rapidly. Digital cultural heritage repositories have therefore become an efficient and effective way to disseminate and exploit digital cultural heritage data. However, many digital cultural heritage repositories worldwide share technical challenges such as data integration and interoperability among national and regional digital cultural heritage repositories. The result is dispersed and poorly-linked cultured heritage data, backed by non-standardized search interfaces, which thwart users’ attempts to contextualize information from distributed repositories. A recently introduced geospatial semantic web is being adopted by a great many new and existing digital cultural heritage repositories to overcome these challenges. However, no one has yet conducted a conceptual survey of the geospatial semantic web concepts for a cultural heritage audience. A conceptual survey of these concepts pertinent to the cultural heritage field is, therefore, needed. Such a survey equips cultural heritage professionals and practitioners with an overview of all the necessary tools, and free and open source semantic web and geospatial semantic web platforms that can be used to implement geospatial semantic web-based cultural heritage repositories. Hence, this article surveys the state-of-the-art geospatial semantic web concepts, which are pertinent to the cultural heritage field. It then proposes a framework to turn geospatial cultural heritage data into machine-readable and processable resource description framework (RDF) data to use in the geospatial semantic web, with a case study to demonstrate its applicability. Furthermore, it outlines key free and open source semantic web and geospatial semantic platforms for cultural heritage institutions. In addition, it examines leading cultural heritage projects employing the geospatial semantic web. Finally, the article discusses attributes of the geospatial semantic web that require more attention, that can result in generating new ideas and research questions for both the geospatial semantic web and cultural heritage fields.
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institution Curtin University Malaysia
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spelling curtin-20.500.11937-755152019-05-23T00:00:51Z A Survey of Geospatial Semantic Web for Cultural Heritage Champion, Erik Nishanbaev, Ikrom McMeekin, David The amount of digital cultural heritage data produced by cultural heritage institutions is growing rapidly. Digital cultural heritage repositories have therefore become an efficient and effective way to disseminate and exploit digital cultural heritage data. However, many digital cultural heritage repositories worldwide share technical challenges such as data integration and interoperability among national and regional digital cultural heritage repositories. The result is dispersed and poorly-linked cultured heritage data, backed by non-standardized search interfaces, which thwart users’ attempts to contextualize information from distributed repositories. A recently introduced geospatial semantic web is being adopted by a great many new and existing digital cultural heritage repositories to overcome these challenges. However, no one has yet conducted a conceptual survey of the geospatial semantic web concepts for a cultural heritage audience. A conceptual survey of these concepts pertinent to the cultural heritage field is, therefore, needed. Such a survey equips cultural heritage professionals and practitioners with an overview of all the necessary tools, and free and open source semantic web and geospatial semantic web platforms that can be used to implement geospatial semantic web-based cultural heritage repositories. Hence, this article surveys the state-of-the-art geospatial semantic web concepts, which are pertinent to the cultural heritage field. It then proposes a framework to turn geospatial cultural heritage data into machine-readable and processable resource description framework (RDF) data to use in the geospatial semantic web, with a case study to demonstrate its applicability. Furthermore, it outlines key free and open source semantic web and geospatial semantic platforms for cultural heritage institutions. In addition, it examines leading cultural heritage projects employing the geospatial semantic web. Finally, the article discusses attributes of the geospatial semantic web that require more attention, that can result in generating new ideas and research questions for both the geospatial semantic web and cultural heritage fields. 2019 Journal Article http://hdl.handle.net/20.500.11937/75515 10.3390/heritage2020093 https://doi.org/10.3390/heritage2020093 http://creativecommons.org/licenses/by/4.0/ fulltext
spellingShingle Champion, Erik
Nishanbaev, Ikrom
McMeekin, David
A Survey of Geospatial Semantic Web for Cultural Heritage
title A Survey of Geospatial Semantic Web for Cultural Heritage
title_full A Survey of Geospatial Semantic Web for Cultural Heritage
title_fullStr A Survey of Geospatial Semantic Web for Cultural Heritage
title_full_unstemmed A Survey of Geospatial Semantic Web for Cultural Heritage
title_short A Survey of Geospatial Semantic Web for Cultural Heritage
title_sort survey of geospatial semantic web for cultural heritage
url https://doi.org/10.3390/heritage2020093
http://hdl.handle.net/20.500.11937/75515