DOI: 10.1002/pra2.248 LONG PAPERS Reconciling taxonomies of electoral constituencies and recognized tribes of indigenous Taiwan Yi-Yun Cheng | Bertram Ludäscher School of Information Sciences, University of Illinois at Urbana- Abstract Champaign, Champaign, Illinois, USA Over the years, information science professionals have been studying biases in Knowledge Organization Systems (KOS), for example, bibliographic classifica- Correspondence Yi-Yun Cheng, School of Information tions. The robustness of classifications has been examined in diverse measures, Sciences, University of Illinois at Urbana- ranging from the representation of race, gender, ethnic minorities, to indigenous Champaign, Champaign, IL 61820. peoples. In this study, we aim at (a) uncovering implicit assumptions about Email:
[email protected] minorities in everyday taxonomies; (b) comparing and reconciling these differ- ent taxonomies. Specifically, we study the use case of Taiwanese Indigenous Peoples' tribe classifications and the indigenous constituencies of the legislature electoral representation. We compare four finer-grained taxonomies for indige- nous people with the coarse-grained indigenous peoples' electoral constituencies that only recognize two regions (Lowland, Highland). The four taxonomies are: the recognized tribes in the past, the recognized tribes in the present, other pos- sible tribes, and re-scaled groups based on population. We employ a logic-based taxonomy alignment approach using Region Connection Calculus (RCC-5) rela- tions to align these taxonomies.