Museum Linked Open Data: Ontologies, Datasets, Projects (invited report). Alexiev, V. In Digital Presentation and Preservation of Cultural and Scientific Heritage (DIPP 2018), volume 8, pages 19-50, Burgas, Bulgaria, September, 2018. Institute of Mathematics and Informatics (IMI BAS), Sofia.
Museum Linked Open Data: Ontologies, Datasets, Projects (invited report) [pdf]Paper  Museum Linked Open Data: Ontologies, Datasets, Projects (invited report) [ppt]Slides  abstract   bibtex   1 download  
The Galleries, Libraries, Archives and Museums (GLAM) sector deals with complex and varied data. Integrating that data, especially across institutions, has always been a challenge. Semantic data integration is the best approach to deal with such challenges. Linked Open Data (LOD) enable large-scale Digital Humanities (DH) research, collaboration and aggregation, allowing DH researchers to make connections between (and make sense of) the multitude of digitized Cultural Heritage (CH) available on the web. An upsurge of interest in semtech and LOD has swept the CH and DH communities. An active Linked Open Data for Libraries, Archives and Museums (LODLAM) community exists, CH data is published as LOD, and international collaborations have emerged. The value of LOD is especially high in the GLAM sector, since culture by its very nature is cross-border and interlinked. We present interesting LODLAM projects, datasets, and ontologies, as well as Ontotext's experience in this domain. An extended version of this paper is available. It has 77 pages, 67 figures, detailed info about CH content and XML standards, Wikidata and global authority control.

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