The paper, focusing on the problem that the overall correlation level of the research result is low in the current geospatial data search system, establishes users’ search intention models, researches the intelligent and professional geospatial information search method, and makes use of spatial cognition theory and knowledge engineering methods to make up for the shortcomings of the lack of semantic information in the traditional keyword-based information retrieval. The geospatial information of towns and villages spatial planning field involves multitudinous theme and has complex structure and large scale. There has always been lack of appropriate method to complete the information search and processing activities. This paper takes geospatial data search in towns and villages spatial planning field for example, constructs the professional knowledge base by knowledge engineering, implements semantic reasoning and establishes users’ search intentions model by combining the characteristics of geospatial information. The ultimate goal is to understand users’ search intentions as far as possible and improve the accuracy of geospatial data search.