Papers: Metadata in Domain Applications

Starts at
04 Oct 22 17:15 UTC
Finishes at
04 Oct 22 18:45 UTC
Venue
Virtual Conference Room A
Moderator
Gema Bueno

Moderator

  • Gema Bueno

Presentations

Map4Scrutiny – A Linked Open Data Solution for Politicians Interest Registers

Authors: Inês Lopes, Alice Batista, Óscar Atanázio Afonso

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.

  • Inês Lopes

    University of Minho

    Inês Lopes, wrote her master thesis, homonymous to this paper, focusing on the process of creating Linked Open Data. This work marked the first contact of the author with the semantic web, and its surrounding concepts. With a background on both communication sciences and information systems, the author believes in the potential of data literacy, and FAIR data as means that contribute to a more informed and sharing society.

Finding Florida—Implementing Machine Aided Indexing in an Academic Library

Authors: Xiaoli Ma, Chelsea Dinsmore, Dave Van Kleeck, Laura Perry

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.

  • Xiaoli Ma

    George A. Smathers Libraries, University of Florida

    Xiaoli Ma is the Metadata Librarian and the Head of Metadata Unit at the George A. Smathers Libraries, University of Florida. She develops metadata guidelines and implements workflows to enhance the usability and searchability of the content held by large-scale digital libraries. She studied American Literature, Art History and Information Science. She led the efforts of translating VRA Core from English to Chinese.

  • Chelsea Dinsmore

    George A. Smathers Library

    Chelsea Dinsmore serves as the Chair of Resource Description Services for the University of Florida George A. Smathers Libraries . With a background in Archives and then Government Documents, Ms. Dinsmore is currently involved in research to improve the accessibility of digital collections by rehabilitating and enhancing legacy metadata. She holds an MLIS from the University of Texas at Austin and an MA in History from the University of Florida.​

Comparative Study of Rubbings Metadata Schemes

Authors: Li Yang, Margaret E.I. Kipp

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.

  • Li Yang

    University of Wisconsin-Milwaukee

    Li Yang ([email protected]) is a PhD candidate of the School of Information Studies (SOIS), University of Wisconsin-Milwaukee. She is a member of the Knowledge Organization Research Group at SOIS, ASIS&T, and the Chinese American Librarians Association (CALA). Her research interests are in knowledge organization, knowledge organization systems, relationships, resource descriptions, metadata, and Linked Data.
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