Ontuition: intuitive data exploration via ontology navigation

We present Ontuition, a system for mapping ontologies. Transforming data to a usable format for Ontuition involves recognizing and resolving data values corresponding to concepts in multiple ontological domains. In particular, for datasets with a geographic component we try to identify and extract enough spatio-textual data that we can assign specific lat/long values to dataset entries. Next, a gazetteer is used to transform the textually-specified locations into lat/long values that can be displayed on a map. In addition, we discover non-spatial ontological concepts. This methodology is applied to the National Library of Medicine’s very popular clinical trials website (http:// clinicaltrials.gov/) whose users are generally interested in locating trials near where they live. The trials are specified using XML files. We show how to extract the location data and couple it with a disease ontology to enable general queries on the data with the result being of use to a very large gro...

• Type: Journal
• Year: 2010
• Where: GIS
• Authors: Marco D. Adelfio, Michael D. Lieberman, Hanan Samet, Kashif A. Firozvi
• Keywords: Automated Reasoning, GIS 2010, Information Storage, Multiple Ontological Domains, Non-spatial Ontological Concepts