The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Publications Copernicus
Articles | Volume XL-1/W5
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XL-1/W5, 277–280, 2015
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XL-1/W5, 277–280, 2015

  11 Dec 2015

11 Dec 2015


E. Hamzei, F. Hakimpour, and A. Forati E. Hamzei et al.
  • School of Surveying and Geospatial Engineering, Faculty of Engineering, University of Tehran, Tehran, Iran

Keywords: GIS, Spatial Search Engine, Natural Language Processing, Entity Recognition

Abstract. In the digital world, search engines have been proposed as one of challenging research areas. One of the main issues in search engines studies is query processing, which its aim is to understand user’s needs. If unsuitable spatial query processing approach is employed, the results will be associated with high degree of ambiguity. To evade such degree of ambiguity, in this paper we present a new algorithm which depends on rule-based systems to process queries. Our algorithm is implemented in the three basic steps including: deductively iterative splitting the query; finding candidates for the location names, the location types and spatial relationships; and finally checking the relationships logically and conceptually using a rule based system. As we finally present in the paper using our proposed method have two major advantages: the search engines can provide the capability of spatial analysis based on the specific process and secondly because of its disambiguation technique, user reaches the more desirable result.