Quickly location determination based on geographic keywords of natural language

In location determination based on natural language, it is common to find the location by describing relationship between the undetermined position and one or several determined position. That indicates that the uncertainty of location determination processing is derived from the one of natural language procedure, the one of spatial position description and the one of spatial relationship description. Most of current researches and regular GIS software take certainty as prerequisite and try to avoid uncertainty and its influence. The research reported in this paper is an attempt to create a new combing method of Artificial Intelligence (AI), Fuzzy set theory and spatial information science named Quickly Location Determination based on Geographic Keywords (QLDGK) to rise to the challenge of location searching technique based on natural language. QLDGK have two technical gists. The first one is geographic-keywords-library and special natural-language-separation-model-library that increases the language processing efficiency. The second one is A fuzzy theory based definition of spatial relationship, spatial metric and spatial orientation that extends the searching scope and defines variant confidences on variant searching outcome. QLDGK takes consideration on both higher query efficiency and the lower omission rate. The above method has been proved workable and efficient by QLDGK prototype system which was tested by about 12000 emergency call reports from K-city, Southwest of China, and achieved the test result with 78% accuracy in highest confidence and 8% omitting ration.