Tutorial : Logic-Based Tools for Merging Taxonomies
- Long title
- A tutorial on aligning, mapping, merging taxonomies using a logic-based tool
- Venue
- Aula Rubió
Session in Planning
This session is currently in the planning phase. The presentation order, session timing, and content details may be subject to change until finalized. Please check back for updates as we approach the conference date.
A tutorial on aligning, mapping, merging taxonomies using a logic-based tool
Taxonomies are one of the Knowledge Organization Systems (KOSs) that categorize abstract concepts or physical entities into a hierarchical manner. When multiple taxonomies exist for the same subject matter, challenges around reconciliation of these taxonomies emerge. This tutorial introduces a logic-based taxonomy alignment approach that moves beyond traditional equivalence mapping, allowing for more nuanced mapping relations such as overlaps, disjointness, inclusion and inverse-inclusion. Participants will learn about existing interoperability efforts, explore practical use cases, and gain hands-on experience using the Euler/X tool to construct and align taxonomies in this session.
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Jessica Yi-Yun Cheng
School of Communication and Information, Rutgers University
Jessica Yi-Yun Cheng is an assistant professor at the School of Communication and Information, Rutgers University. Her research explores how systems of organization affect data representation, focusing on interoperability in taxonomies and other knowledge organization systems (KOS). She is the PI of an IMLS grant on provenance metadata and a co-PI on a U.S. DOT project on taxonomy design for a bridge technology platform. Her work has been published in JASIST, IP&M, IJGIS, KO Journal, and more.
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