The E.A.T. Knowledge Graph
Over the course of his six decades-long career Robert Rauschenberg (1925-2008) challenged artistic conventions, defied genres and fostered unconventional collaborations between disparate communities—from dancers and musicians to scientists and engineers. In 1966, with Bell Laboratories engineer Billy Klüver, Rauschenberg founded Experiments in Art and Technology (E.A.T.), a seminal initiative to connect art and technology in an impactful way.
The E.A.T. Knowledge Graph is an ongoing collaboration through the Semantic Lab at Pratt with the Robert Rauschenberg Foundation Archives and the director of E.A.T., Julie Martin. By leveraging linked data technologies through a dedicated suite of digital tools and applications, this project aims to process primary source materials in order to expose the rich web of creativity, innovation, and exchange that E.A.T. generated in avant-garde artwork and performance.
The E.A.T. Knowledge Graph (formerly E.A.T. + LOD) project documentation can be found here.
Linked Jazz
Linked Jazz is an ongoing project investigating the potential of Linked Open Data technology to enhance the discovery and visibility of digital cultural heritage materials.
The project focuses on digital archives of jazz history to expose relationships between musicians and reveal their community’s network. By applying new modes of data representation and seamless discovery, Linked Jazz opens up unprecedented opportunities for connecting and interpreting cultural data within the jazz domain through its Oral History Network visualization or SPARQL endpoint.
Started in 2011, Linked Jazz continues to evolve and expand through domain-specific projects that uncover new areas of jazz history (Local 496 Project, Linking Lost Jazz Shrines) and increase the visibility of underrepresented segments of the jazz community such as women jazz artists (Women of Jazz, International Sweethearts of Rhythm, Zena Latto Project).
Linked Jazz has been generously supported by OCLC, The New Orleans Jazz & Heritage Foundation, The Ella Fitzgerald Charitable Foundation/Jazz Education Network, IMLS, METRO and Pratt Institute.
DADAlytics
DADAlytics is a new project of the Semantic Lab at Pratt that aims to develop a prototype designed to lower the barriers for institutions who wish to create linked open data from cultural heritage textual materials.
Building on our experience developing the Linked Jazz Transcript Analyzer, DADAtics will be a modular, user-friendly tool capable of performing supervised entity extraction from archival documents and generating linked data graphs. With input from key stakeholders, the tool is being designed to accommodate the needs of a wide range of professionals working with various types of cultural heritage materials.
The Datalytics Project is made possible through the generous support of IMLS and Pratt Institute School of Information.
Florentine Renaissance Drawings: A Linked Catalogue for the Semantic Web
The Drawings of the Florentine Painters is a linked open data-driven online catalogue that allows users to simultaneously search through all three editions of art historian Bernard Berensen’s seminal work The Drawings of the Florentine Painters.
This project was supported by a Digital Resources Grant awarded by the Samuel H. Kress Foundation to Villa I Tatti, The Harvard University Center for Italian Renaissance Studies. The entire dataset is openly available for reuse under a Creative Commons Attribution-ShareAlike license. Working with Primary Investigators, Lukas Klic and Jonathan Nelson of Villa I Tatti, I provided design, methodology and technical advising for the project (full list of contributors).
Review of “The Drawings of the Florentine Painters” by Lindsey Gumb. ARLIS/NA Multimedia & Technology Reviews, August 2017.
Klic, L., Nelson, J., Pattuelli, M. C. and Provo, A. (2018). Florentine Renaissance Drawings: A linked catalog for the Semantic Web. Art Documentation, 37(1), 33-43. DOI: https://doi.org/10.1086/697276
Klic, L., Miller, M., Nelson, J., Pattuelli, M. C. and Provo, A. (2017). The drawings of the Florentine painters: From print catalog to Linked Open Data. The Code4Lib Journal, (38) October 2017.
The Warburg Library as A Laboratory Of The Mind
Investigation of the innovations of Aby Warburg’s Kulturwissenschaftliche Bibliothek (Library of Cultural Studies) as a knowledge organization system and method of information access. Supported by the Faculty Development Fund Award, Pratt Institute, 2011.
Warburg and his library | Warburg is his library, “Faculty Development Grant” exhibition, The Rubelle and Norman Schafler Gallery, Pratt Institute. June 4 –September 6, 2012.
Pattuelli, M. C. (2011). The Warburg Library: Morphology of a Library as a ‘Laboratory of the Mind.’ Presented at the 19th Annual Conference of the Society for the History of Authorship, Reading and Publishing (SHARP), Washington, D.C., July 16, 2011. [PDF]
Fluid Reading
American Library Association, Carroll Preston Baber Research Grant, 2013. “E-reading in the Academy: Investigating Adoption and Use of E-books in Academic Libraries” (with Irene Lopatovska). 2013
Pattuelli, M. C., Kaufer, E., Shelton, G. & Sitwala, S. (2014). Real-time Reading: A Twitter-based Diary Study of College Students. 6th Annual Qualitative and Quantitative Methods in Libraries (QQML 2014), May 27-30, Istanbul, Turkey.
Lopatovska, I., Pattuelli, M. C., Lange, L., and Ludas Orlofsky, V. (2013). E-books in academia: Expectations and challenges. iConference 2013 Proceedings, (pp. 486-490).
Lopatovska, I. and Pattuelli, M. C. (2013). Understanding complex phenomena through an educational lens: the case of “fluid reading.” Presented at 5th International Conference on Qualitative and Quantitative Methods in Libraries (QQML 2013), June 4-7, Rome, Italy.
Foster, A., O’Connell, F., White, A. and Pattuelli, M.C. (2013). Investigating Reading Preferences of University Students in New York City: A Qualitative Study. Presented at the 5th International Conference on Qualitative and Quantitative Methods in Libraries (QQML 2013), June 4-7, Rome, Italy.
Pattuelli, M. C., Miller, Matt, and Adams, S. A. (2019). Ontology shift: Cultural heritage ontologies in the time of linked open data. Digital Humanities 2019 (DH2019), Ontologies for Linked Data in the Humanities Workshop. Utrecht,The Netherlands, July 8-12, 2019. [Link]
Pattuelli, M. C. (2018). From uniform identifiers to graphs, from individuals to communities: What we talk about when we talk about linked person data. 15th International Society for Knowledge Organization (ISKO) Conference, Porto, Portugal, July 9-11, 2018.
Klic, L., Nelson, J., Pattuelli, M. C. and Provo, A. (2018). Florentine Renaissance Drawings: A linked catalog for the Semantic Web. Art Documentation, 37(1), 33-43. DOI: https://doi.org/10.1086/697276
Pattuelli, M. C. and Sistrunk, H. (2017). Linked data aggregation, integration and mashups in the Performing Arts: A project report. The 11th U.S. Networked Knowledge Organization Systems (NKOS) Workshop as part of DC-2017, Washington, DC, 26-29 October 2017.
Pattuelli, M. C., Hwang, K., and Miller, M. (2016). Accidental discovery, intentional inquiry: Leveraging linked data to uncover the women of jazz. DSH: Digital Scholarship in the Humanities. DOI: http://dx.doi.org/10.1093/llc/fqw047
Pattuelli, M. C. (2016). LAM from the trenches: the LODLAM community and the building of LAM culture, practices, and education: 2015. In Jennifer Arns and Karen Miller (Eds.), Annual Review of Cultural Heritage Informatics. Lanham, MD: Rowman & Littlefield Publishers.
Thorsen, H. K. and Pattuelli, M. C. (2016). Linked Open Data and the cultural heritage landscape. In Ed Jones and Michele Seikel (Eds.), Supplying Missing Links: Using Linked Data to Expose Cultural Heritage. Chicago, ALA: ALCTS Publishing. Also published by Facet Publishing.
Pattuelli, M. C., Provo, A. and Thorson, H. (2015). Ontology building for Linked Open Data: A pragmatic perspective. Journal of Library Metadata, (15)3-4, 265-294.
DOI: http://dx.doi.org/10.1080/19386389.2015.1099979
Pattuelli, M. C. and Miller, M. (2015). Semantic network edges: A human-machine approach to represent typed relations in social networks. Journal of Knowledge Management, (19)1, 71-81. [Preprint]