Automatically Extracting Complex Data Structures from the Web
نویسندگان
چکیده
This paper presents a new technique for detecting and extracting lists of structured records from Web pages. With respect to most of the state-of-the-art systems, our approach is capable of detecting nested data structures (sublists) and it also incorporates some heuristics to delete unwanted content such as banners and navigation menus from the data region. This article also describes the experiments we have performed to validate the system. The precision and recall we have obtained in our tests surpass 90%.
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تاریخ انتشار 2012