Papers: Metadata in Domain Applications

This paper describes the process and results of providing data from the members of Portuguese Parliament interest registers and the Public Procurement database as Linked Open Data. The two resources are linked by the organizations mentioned in both.
The paper focuses on two areas: design, and implementation. The first describes the process of designing an application profile, structuring, and describing the data, and creating shapes in ShEx for validation. The implementation describes the use of OpenRefine to clean and uniformize data, reconcile values into links, map triples from tabular to RDF, and export in RDF Turtle. The exported data is validated against the defined ShEx shapes, published in a Triplestore, and queried with SPARQL. The queries are used to showcase the difference between the sourced data and the resulting linked dataset.

From 2018 to 2021, a team of library professionals at the George A. Smathers Libraries worked to implement Machine Aided Indexing (MAI) in order to locate content about Florida places and spaces among the 16 million pages of hosted content at the University of Florida Digital Collections. This semi-automated process uses a combination of commercial software and locally developed applications. MAI consistently assigns subject terms from controlled vocabularies, aka, taxonomies, to thousands of items in a couple of hours. This method selects terms considering the frequency of the terms appearing in the texts and as well as the preset rules that define the concurrence of terms and other contextual restrictions. After three years’ effort, the team identified 23% items, out of the 76,316 text-based single-volume content in English, are about named places in Florida and tagged all of these items with place names, adding 34,000 access points for these items. Most of these access points were not available prior to this process. On top of that, the team also compiled a Florida specific taxonomy--Thesaurus of Florida Place Names. This paper outlines the key components of this MAI process and details the challenges and lessons learned.

Rubbings are reproductions on paper from various materials with inscriptions, drawings, and designs. Describing and cataloging rubbings affects the way we use them and in turn, affects resource discovery. This paper compared seven metadata schemes used for describing Chinese rubbings and/or brass rubbings, including the People's Republic of China Cultural Relics Protection Industry Standard: Metadata for rubbings- Cataloguing rules, metadata of the rubbings collection of the Institute of History and Philology of the Academia Sinica, metadata of the rubbings collection of the Metropolitan Museum of Art, metadata of rubbings collection of the British Museum, metadata of brass rubbings collection of the Spurlock Museum of World Cultures, CDWA, and MODS. The result highlights the different purposes of the schemes and significant differences in the numbers of fields, structures, coverages, and granularities. It also shows the common features of the schemes, especially in resource linking.