Using Wikidata to Create Knowledge Graphs for Library Collections

Title

Using Wikidata to Create Knowledge Graphs for Library Collections

Description

As a Linked Open Data (LOD) platform for structured data, and a community-building knowledge base, Wikidata stores people, spaces, times and other entities, and their semantic relationships. Wikidata Knowledge graph is a knowledge base that illustrates entities and relationships for data discovery and integration for users. This poster will present the knowledge graphs created for digital collections at the University of Central Florida (UCF) Libraires, including People in Pemberton Correspondence Collection and the UCF Teachers & Researchers. Models for historical people from the Pemberton Correspondence Collection and university teachers from the Theses and Dissertations Collection are built, and Wikidata items for these names and their related entities are created. The resulting knowledge graphs interlink people and relations in a visually appealing way, facilitating data exploration and research discovery. The LOD data has also been added to records in the library’s institutional repository and service platform Alma, thus contributing to a more meaningful and robust data representation in the future.

Creator

Deng, Sai

Publisher

Chinese American Librarians Association

Date

2022-06-25

Format

application/pdf

Language

eng

Type

Text; Poster

Date Issued

2022-06-25

Bibliographic Citation

Deng, S. (2022). Using Wikidata to create knowledge graphs for library collections. The Chinese American Librarians Association (CALA) Annual Conference 2022 poster session. June 25, 2022.

Position: 458 (72 views)

Files

Wikidata_KG_CALAposter_2022.pdf

Citation

Deng, Sai, “Using Wikidata to Create Knowledge Graphs for Library Collections,” CALASYS - CALA Academic Resources & Repository System, accessed September 25, 2022, http://ir.cala-web.org/items/show/847.