Abstract
A natural language interface can make a geographic information system (GIS) easier to use. It also allows one to query a GIS using vague or imprecise terms that are commonly used by end users. Major challenges in building a natural language interface include ambiguity and impreciseness. A natural language query may be ambiguous when it can be parsed in different ways. It may contain imprecise terms that have to be processed before an executable query can be generated. In this paper, we discuss the techniques we have developed, which are based on the possibility theory and fuzzy grammar theory, for handling ambiguity and impreciseness in natural language queries.
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