POI Extraction from the Web: Store Name Recognition and Address Matching
نویسندگان
چکیده
Mobility is one of the trends in 2014. According to the report of IDC (International Data Corporation), the worldwide shipments of tablets have exceeded PCs in 2013 Quarter 4, while smart phones has already exceeded other devices in unit shipments and market ratio. With this trend, many location-based services (LBS) have been proposed, for example, navigation, searching restaurants or gas stations. Therefore, how to construct a large POI (Point-of Interest) database is the key problem. In this paper, we solve three problems including Taiwan address normalization, store name extraction, and the matching of addresses and store names. To train a statistical model for store name extraction, we make use of existing store-address pair to prepare training data for sequence labeling. The model is trained using common characteristics from store names in addition to POS tags. When testing on search snippets, we obtain 0.791 F-measure for store name recognition.
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عنوان ژورنال:
- IJCLCLP
دوره 19 شماره
صفحات -
تاریخ انتشار 2014