Fuzzy Query for Scalable Vector Graphics Format Map Based on Layer Definition
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TP399

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    Abstract:

    A fuzzy query model for scalable vector graphics(SVG) format maps with layer definitions is proposed in this paper. In the model, a word repository is constructed to store the related words and fuzzy query patterns. When users execute queries, a word segmentation subalgorithm decomposes the query statement into words according to the word repository. Then a semantic analysis subalgorithm converts the words to the fuzzy query patterns. The fuzzy query patterns are connected with the elements on a related layer or layers in an SVG format map. These elements will be highlighted as query results. Experiments are conducted to validate the effectiveness of the proposed model.

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DU Qingfeng, QIAN Haoran. Fuzzy Query for Scalable Vector Graphics Format Map Based on Layer Definition[J].同济大学学报(自然科学版),2017,45(06):0922~0929

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History
  • Received:March 09,2016
  • Revised:April 27,2017
  • Adopted:April 14,2017
  • Online: June 16,2017
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