Augmenting spatio-textual search with an infectious disease ontology
ICDEW '08 Proceedings of the 2008 IEEE 24th International Conference on Data Engineering Workshop
Spatio-textual spreadsheets: geotagging via spatial coherence
Proceedings of the 17th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems
Multifaceted toponym recognition for streaming news
Proceedings of the 34th international ACM SIGIR conference on Research and development in Information Retrieval
Adaptive context features for toponym resolution in streaming news
SIGIR '12 Proceedings of the 35th international ACM SIGIR conference on Research and development in information retrieval
| Hi-index | 0.00 |
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'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.