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Place names play an important role in Borderlands Situation topics, while current focused crawling methods treat them in the sameway as other common keywords, which may lead to the omission of many useful web pages. In the paper, place names in web pagesand their spatial relations were firstly discussed. Then, a focused crawling method named KSRs-FC was proposed to deal with thecollection of situation information about borderlands. In this method, place names and common keywords were representedseparately, and some of the spatial relations related to web pages crawling were used in the relevance calculation between the giventopic and web pages. Furthermore, an information collection system for borderlands situation analysis was developed based onKSRs-FC. Finally, F-Score method was adopted to quantitatively evaluate this method by comparing with traditional method.Experimental results showed that the F-Score value of the proposed method increased by 11% compared to traditional method withthe same sample data. Obviously, KSRs-FC method can effectively reduce the misjudgement of relevant webpages

the international archives of the photogrammetry, remote sensing and spatial information sciences/international archives of the photogrammetry, remote sensing and spatial information sciences

Key Spatial Relations-based Focused Crawling (KSRs-FC) for Borderlands Situation Analysis