Lessons Learned in Building Linked Data for the American Art Collaborative. Knoblock, C. A., Szekely, P., Fink, E., Degler, D., Newbury, D., Sanderson, R., Blanch, K., Snyder, S., Chheda, N., Jain, N., Raju Krishna, R., Begur Sreekanth, N., & Yao, Y. In d'Amato , C., Fernandez, M., Tamma, V., Lecue, F., Cudré-Mauroux, P., Sequeda, J., Lange, C., & Heflin, J., editors, The Semantic Web – ISWC 2017, volume 10588, pages 263–279. Springer International Publishing, Cham, 2017. Series Title: Lecture Notes in Computer Science![Lessons Learned in Building Linked Data for the American Art Collaborative [link]](https://bibbase.org/img/filetypes/link.svg "link")
Paper doi abstract bibtex Linked Data has emerged as the preferred method for publishing and sharing cultural heritage data. One of the main challenges for museums is that the defacto standard ontology (CIDOC CRM) is complex and museums lack expertise in semantic web technologies. In this paper we describe the methodology and tools we used to create 5-star Linked Data for 14 American art museums with a team of 12 computer science students and 30 representatives from the museums who mostly lacked expertise in Semantic Web technologies. The project was completed over a period of 18 months and generated 99 mapping files and 9,357 artist links, producing a total of 2,714 R2RML rules and 9.7M triples. More importantly, the project produced a number of open source tools for generating high-quality linked data and resulted in a set of lessons learned that can be applied in future projects.
@incollection{damato_lessons_2017,
address = {Cham},
title = {Lessons {Learned} in {Building} {Linked} {Data} for the {American} {Art} {Collaborative}},
volume = {10588},
isbn = {978-3-319-68203-7 978-3-319-68204-4},
url = {https://link.springer.com/10.1007/978-3-319-68204-4_26},
doi = {10.1007/978-3-319-68204-4_26},
abstract = {Linked Data has emerged as the preferred method for publishing and sharing cultural heritage data. One of the main challenges for museums is that the defacto standard ontology (CIDOC CRM) is complex and museums lack expertise in semantic web technologies. In this paper we describe the methodology and tools we used to create 5-star Linked Data for 14 American art museums with a team of 12 computer science students and 30 representatives from the museums who mostly lacked expertise in Semantic Web technologies. The project was completed over a period of 18 months and generated 99 mapping files and 9,357 artist links, producing a total of 2,714 R2RML rules and 9.7M triples. More importantly, the project produced a number of open source tools for generating high-quality linked data and resulted in a set of lessons learned that can be applied in future projects.},
language = {en},
urldate = {2024-11-09},
booktitle = {The {Semantic} {Web} – {ISWC} 2017},
publisher = {Springer International Publishing},
author = {Knoblock, Craig A. and Szekely, Pedro and Fink, Eleanor and Degler, Duane and Newbury, David and Sanderson, Robert and Blanch, Kate and Snyder, Sara and Chheda, Nilay and Jain, Nimesh and Raju Krishna, Ravi and Begur Sreekanth, Nikhila and Yao, Yixiang},
editor = {d'Amato, Claudia and Fernandez, Miriam and Tamma, Valentina and Lecue, Freddy and Cudré-Mauroux, Philippe and Sequeda, Juan and Lange, Christoph and Heflin, Jeff},
year = {2017},
note = {Series Title: Lecture Notes in Computer Science},
pages = {263--279},
}
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