A Natural Language Based Query Interface for GIS—A Case Study on Food and Beverage Service of TaiAn District in Taipei

• Main Authors: Ju-Yu Hunag, 黃如鈺
• Other Authors: 朱子豪
• Format: Others
• Language: zh-TW
• Published: 2005
• Online Access: http://ndltd.ncl.edu.tw/handle/29332577032047125260

碩士 === 國立臺灣大學 === 地理環境資源學研究所 === 93 === The users of GIS gradually expand to the general people, so that the convenience of the user interface gets more and more important. Nowadays, people who use GIS mostly browse map website then execute spatial query. However, these map websites which are the most popularly used GIS query interfaces are not flexible for using. People who want to use the query interface must follow the predefined specific query type, and they can’t query by spatial relations. In order to increase the convenience and flexibility of spatial query, therefore, the nature language based approach was applied to be the guideline of the query interface design, and we develop and construct a natural based query interface which can be queried by spatial relations. In this research, first, we reviewed main types of spatial query questions, spatial referencing, and Chinese natural language processing. Second, We collected everyday spatial query sentences, extracted the main composition elements and concluded several kinds of main query sentence type. Finally, in natural language processing, we process word segmentation by dictionary approach and set the processing semantic and syntax rules. We take a case study on Food and Beverage service of TaiAn District in Taipei. Users can type natural language sentence and then execute spatial query. After executing word segmentation, semantic and syntax processing, the system will response user the answer by map and message on screen. If the system’s database changed, then the interface not only can be used in food and beverage service but also can be used in other kinds of service. The system was evaluated by using 30 examples and got 73% success in word segmentation and executing query. Therefore, it not only can improve the flexibly and convenience of spatial query but also has high performance in accuracy.