An intelligent integrated querying system for free-form information extraction from veterinary clinical records

The aim of this paper is to report an intelligent integrated query system that provides and uses information from local veterinary clinical records supplemented with information from external resources. The information from the local records is used to remotely retrieve related information from external sources, in order to supplement the existing records for diagnosis and decision purposes. In Murdoch University, a large number of historical clinical data are stored in a veterinary practice management system for several years. It is necessary to provide an efficient system for query and retrieval of data for research work. The proposed solution in this paper involves text-mining (keyword extraction) and web service technologies for enhancing the existing results and to provide a comprehensive set of information related to local clinical records from the internal database.