Amsterdam Museum Linked Open Data

Boer, Victor de; Wielemaker, Jan; Gent, Judith van; Oosterbroek, Marijke; Hildebrand, Michiel; Isaac, Antoine; Ossenbruggen, Jacco van; Schreiber, Guus

doi:10.3233/sw-2012-0074

Cited by 34 publications

(16 citation statements)

References 6 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…We also acknowledge the related work of Amsterdam Museum Linked Open Data [ 9 ] and The REACH Project [ 10 ], which present well-defined methodologies, the first on generating Linked Open museum Data and the latter on semantically integrating cultural data and exposing them via a web application. Each of them covers in detail parts of our proposed pipeline while working with data from one source (in contrast to our work).…”

Section: Related Workmentioning

confidence: 99%

Generating and Exploiting Semantically Enriched, Integrated, Linked and Open Museum Data

Angelis

Kotis

2021

Metadata and Semantic Research

View full text Add to dashboard Cite

The work presented in this paper is engaging with and contributes to the implementation and evaluation of Semantic Web applications in the cultural Linked Open Data (LOD) domain. The main goal is the semantic integration, enrichment and interlinking of data that are generated through the documentation process of artworks and cultural heritage objects. This is accomplished by using state-of-the-art technologies and current standards of the Semantic Web (RDF, OWL, SPARQL), as well as widely accepted models and vocabularies relevant to the cultural domain (Dublin Core, SKOS, Europeana Data Model). A set of specialized tools such as KARMA and OpenRefine/RDF-extension is being used and evaluated in order to achieve the semantic integration of museum data from heterogeneous sources. Interlinking is achieved using tools such as Silk and OpenRefine/RDF-extension, discovering links (at the back-end) between disparate datasets and other external data sources such as DBpedia and Wikidata that enrich the source data. Finally, a front-end Web application is developed in order to exploit the semantically integrated and enriched museum data, and further interlink (and enrich) them (at application run-time), with the data sources of DBpedia and Europeana. The paper discusses engineering choices made for the evaluation of the proposed framework/pipeline.

show abstract

Section: Related Workmentioning

confidence: 99%

Generating and Exploiting Semantically Enriched, Integrated, Linked and Open Museum Data

Angelis

Kotis

2021

Metadata and Semantic Research

View full text Add to dashboard Cite

show abstract

“…Linked data refer to data that are published in a way that is machine understandable; the data have explicit meaning to machines defined by ontologies, and the data are linked to external data sources and can also be linked from external data sources [9]. As an early adopter of various digital technologies and tools for digitisation, management, dissemination, and analysis, the cultural heritage domain has already implemented domain-specific ontologies such as CIDOC-CRM (http://www.cidoc-crm.org/, accessed on 29 July 2021) and many cultural heritage institutions have already successfully adopted linked data publishing principles [10][11][12].…”

Section: Introductionmentioning

confidence: 99%

A Web GIS-Based Integration of 3D Digital Models with Linked Open Data for Cultural Heritage Exploration

Nishanbaev

Champion

McMeekin

2021

IJGI

View full text Add to dashboard Cite

In recent years, considerable efforts have been made by cultural heritage institutions across the globe to digitise cultural heritage sites, artifacts, historical maps, etc. for digital preservation and online representation. On the other hand, ample research projects and studies have been published that demonstrate the great capabilities of web-geographic information systems (web-GIS) for the dissemination and online representation of cultural heritage data. However, cultural heritage data and the associated metadata produced by many cultural heritage institutions are heterogeneous. To make this heterogeneous data more interoperable and structured, an ever-growing number of cultural heritage institutions are adopting linked data principles. Although the cultural heritage domain has already started implementing linked open data concepts to the cultural heritage data, there are not many research articles that present an easy-to-implement, free, and open-source-based web-GIS architecture that integrates 3D digital cultural heritage models with cloud computing and linked open data. Furthermore, the integration of web-GIS technologies with 3D web-based visualisation and linked open data may offer new dimensions of interaction and exploration of digital cultural heritage. To demonstrate the high potential of integration of these technologies, this study presents a novel cloud architecture that attempts to enhance digital cultural heritage exploration by integrating 3D digital cultural heritage models with linked open data from DBpedia and GeoNames platforms using web-GIS technologies. More specifically, a digital interactive map, 3D digital cultural heritage models, and linked open data from DBpedia and GeoNames platforms were integrated into a cloud-based web-GIS architecture. Thus, the users of the architecture can easily interact with the digital map, visualise 3D digital cultural heritage models, and explore linked open data from GeoNames and DBpedia platforms, which offer additional information and context related to the selected cultural heritage site as well as external web resources. The architecture was validated by applying it to specific case studies of Australian cultural heritage and seeking expert feedback on the system, its benefits, and scope for improvement in the near future.

show abstract

“…On the knowledge graph side, the Amsterdam Museum's Linked Open Data comprises the entire collection of the Amsterdam Museum consisting of more than 70,000 object descriptions [2]. ArCo 2 is a knowledge graph containing around 800.000 catalogue records of Italian cultural heritage entities (ex.…”

Section: Introductionmentioning

confidence: 99%

MusicKG: Representations of Sound and Music in the Middle Ages as Linked Open Data

Eyharabide

Lully

Morel

2019

Lecture Notes in Computer Science

View full text Add to dashboard Cite

The World Wide Web is one of the main ways of accessing knowledge in cultural heritage. Recently, several projects in digital humanities have emerged; however only a few are specialized in musicology. In this paper, we present MusicKG, a multilingual knowledge graph about medieval musicology and musical iconography. A specific ontology has been designed to integrate data from several iconographic and musicology databases. In addition, MusicKG is connected to the Linked Open Data cloud with a significant part of its classes, properties and instances being linked to Wikidata, Getty Vocabularies, MIMO, Iconclass and GeoNames. MusicKG is accessible and reusable by three means: a downloadable RDF dump, a Virtuoso faceted browser and a public SPARQL endpoint. Some representative SPARQL query examples are given to illustrate the scope of MusicKG and to show the potential impact on the research work in medieval musicology.

show abstract

Amsterdam Museum Linked Open Data

Cited by 34 publications

References 6 publications

Generating and Exploiting Semantically Enriched, Integrated, Linked and Open Museum Data

Generating and Exploiting Semantically Enriched, Integrated, Linked and Open Museum Data

A Web GIS-Based Integration of 3D Digital Models with Linked Open Data for Cultural Heritage Exploration

MusicKG: Representations of Sound and Music in the Middle Ages as Linked Open Data

Contact Info

Product

Resources

About