Museum Linked Open Data: Ontologies, Datasets, Projects (extended version). Alexiev, V. Technical Report Ontotext, September, 2018.
Museum Linked Open Data: Ontologies, Datasets, Projects (extended version) [pdf]Paper  abstract   bibtex   
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. This is an extended version of an invited report at the DIPP 2018 conference that covers CH content and XML standards, Wikidata and global authority control.

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