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Applying a Taxonomy Alignment Method to Reconcile Multiple U.S. Maps / Yi-Yun Cheng.

Sage Research Methods Data and Research Literacy 2025 Available online

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Format:
Book
Author/Creator:
Cheng, Yi-Yun, author.
Language:
English
Subjects (All):
Numerical taxonomy.
Physical Description:
1 online resource : illustrations
Other Title:
Applying a taxonomy alignment method to reconcile multiple United States maps
Place of Publication:
London : SAGE Publications Ltd, 2025.
Summary:
This case study focuses on the thought process and implementation of taxonomy alignment research. Taxonomies are ways to organize concepts, ideas, or objects in a hierarchical form. Sometimes, when people have different sets of taxonomies about the same thing, they need to find a way to reconcile and merge these taxonomies. Taxonomy alignment are the approaches to help us reach a consensus on conflicting taxonomies.In this case study, I introduce an example with different renderings of the United States maps and reconcile these geographic taxonomies with a logic-based taxonomy alignment approach. I highlight the components needed to plan out taxonomy alignments, a step-by-step guide to align in action, and the computational difficulties one might encounter during the process. This logic-based approach, like other taxonomy alignment approaches, enables us to merge conflicting taxonomies and produce a merged solution(s). After reading this case study, readers will be able to compile their own alignment cases and test out the methods themselves.
Notes:
Description based on publisher supplied metadata and other sources.
ISBN:
1-03-621674-8
9781036216740
OCLC:
1523169385

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