Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XL-1/W5, 277-280, 2015
https://doi.org/10.5194/isprsarchives-XL-1-W5-277-2015
© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.
 
11 Dec 2015
SPATIAL QUERIES ENTITY RECOGNITION AND DISAMBIGUATION USING RULE-BASED APPROACH
E. Hamzei, F. Hakimpour, and A. Forati 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.
Conference paper (PDF, 854 KB)


Citation: Hamzei, E., Hakimpour, F., and Forati, A.: SPATIAL QUERIES ENTITY RECOGNITION AND DISAMBIGUATION USING RULE-BASED APPROACH, Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XL-1/W5, 277-280, https://doi.org/10.5194/isprsarchives-XL-1-W5-277-2015, 2015.

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