Abstract
With the increasing popularity of XML for data representations, there is a lot of interest in keyword query on XML. Many algorithms have been proposed for XML keyword queries. But the existing approaches fall short in their abilities to analyze the logical relationship between keywords of spatiotemporal data. To overcome this limitation, in this chapter, the authors first propose the concept of query time series (QTS) according to the data revision degree. For the logical relationship of keywords in QTS, the authors study the intra-coupling logic relationship and the inter-coupling logic relationship separately. Then a calculation method of keyword similarity is proposed and the best parameter in the method is found through experiment. Finally, the authors compare this method with others. Experimental results show that this method is superior to previous approaches.
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