@article {784,
	title = {The Enslaved Ontology: Peoples of the Historic Slave Trade},
	journal = {Journal of Web Semantics},
	volume = {63},
	year = {2020},
	month = {08/2020},
	abstract = {<p>We present the Enslaved Ontology (V1.0) which was developed for integrating data about the historic slave trade from diverse sources in a use case driven by historians. Ontology development followed modular ontology design principles as derived from ontology design pattern application best practices and the eXtreme Design Methodology. Ontology content focuses on data about historic persons and the event records from which this data can be taken. It also incorporates provenance modeling and some temporal and spatial aspects. The ontology is available as serialized in the Web Ontology Language OWL, and carries modularization annotations using the Ontology Pattern Language (OPLa). It is available under the Creative Commons CC BY 4.0 license.</p>
},
	keywords = {data integration, digital humanities, history of the slave trade, modular ontology, Ontology Design Patterns},
	doi = {https://doi.org/10.1016/j.websem.2020.100567},
	author = {Cogan Shimizu and Pascal Hitzler and Quinn Hirt and Dean Rehberger and Seila Gonzalez Estrecha and Catherine Foley and Alicia M. Sheill and Walter Hawthorne and Jeff Mixter and Ethan Watrall and Ryan Carty and Duncan Tarr}
}
@conference {414,
	title = {An Ontology Design Pattern for Data Integration in the Library Domain},
	booktitle = {Proceedings of the 6th Workshop on Ontology and Semantic Web Patterns (WOP2015) co-located with the 14th International Semantic Web Conference (ISWC 2015), Bethlehem, PA, USA, October 11, 2015},
	year = {2015},
	month = {10/2015},
	abstract = {<p>A university{\textquoteright}s institutional repository (IR) contains the in- tellectual output of its faculty, staff and students. Its content is exten- sive and heterogenous, which complicates data aggregation and discovery tasks. To address these challenges, we propose the use of a conceptual ontology design pattern to model information for the IR domain which is general enough to be reused across different IR datasets.</p>
},
	author = {Patrick Obrien and David Carral and Jeff Mixter and Pascal Hitzler}
}
