Agreeing to disagree: Reconciling conflicting taxonomic views using a logic-based approach

Yi-Yun Cheng, Nico Franz, Jodi Schneider, Shizhuo Yu, Thomas Rodenhausen, Bertram Ludäscher
2017 Proceedings of the Association for Information Science and Technology  
Taxonomy alignment is a way to integrate two or more taxonomies. Semantic interoperability between datasets, information systems, and knowledge bases is facilitated by combining the different input taxonomies into merged taxonomies that reconcile apparent differences or conflicts. We show how alignment problems can be solved with a logic-based region connection calculus (RCC-5) approach, using five base relations to compare concepts: congruence, inclusion, inverse inclusion, overlap, and
more » ... tness. To illustrate this method, we use different "geo-taxonomies", which organize the United States into several, apparently conflicting, geospatial hierarchies. For example, we align T CEN , a taxonomy derived from the Census Bureau's regions map, with T NDC , from the National Diversity Council (NDC), and with T TZ , a taxonomy capturing the U.S. time zones. Using these case studies, we show how this logicbased approach can reconcile conflicts between taxonomies. We have implemented these case studies with an open source tool called Euler/X which has been applied primarily for solving complex alignment problems in biological classification. In this paper, we demonstrate the feasibility and broad applicability of this approach to other domains and alignment problems in support of semantic interoperability.
doi:10.1002/pra2.2017.14505401006 dblp:conf/asist/ChengFSYRL17 fatcat:xtthqnhupvfetnwokwjgl7fc74