@conference {16826,
	title = {Ontuition: intuitive data exploration via ontology navigation},
	booktitle = {Proceedings of the 18th SIGSPATIAL International Conference on Advances in Geographic Information Systems},
	series = {GIS {\textquoteright}10},
	year = {2010},
	month = {2010///},
	pages = {540 - 541},
	publisher = {ACM},
	organization = {ACM},
	address = {New York, NY, USA},
	abstract = {Ontuition, a system for mapping ontologies, is presented. 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 an attempt is made to identify and extract enough spatio-textual data that specific lat/long values to dataset entries can be assigned. Next, a gazetteer is used to transform the textually-specified locations into lat/long values that can be displayed on a map. Non-spatial ontological concepts are also discovered. This methodology is applied to the National Library of Medicine{\textquoteright}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. The location data is extracted and coupled with a disease ontology to enable general queries on the data with the result being of use to a very large group of people. The goal is to do this automatically for such ontology datasets with a locational component.},
	keywords = {MAPPING, ontology, ontuition, spatio-textual},
	isbn = {978-1-4503-0428-3},
	doi = {10.1145/1869790.1869887},
	url = {http://doi.acm.org/10.1145/1869790.1869887},
	author = {Adelfio,Marco D. and Lieberman,Michael D. and Samet, Hanan and Firozvi,Kashif A.}
}
