NDLI: Automatic Extraction of Structured Web Data with Domain Knowledge

Content Provider	IEEE Xplore Digital Library
Author	Derouiche, N. Cautis, B. Abdessalem, T.
Copyright Year	2012
Abstract	We present in this paper a novel approach for extracting structured data from the Web, whose goal is to harvest real-world items from template-based HTML pages (the structured Web). It illustrates a two-phase querying of the Web, in which an intentional description of the data that is targeted is first provided, in a flexible and widely applicable manner. The extraction process leverages then both the input description and the source structure. Our approach is domain-independent, in the sense that it applies to any relation, either flat or nested, describing real-world items. Extensive experiments on five different domains and comparison with the main state of the art extraction systems from literature illustrate its flexibility and precision. We advocate via our technique that automatic extraction and integration of complex structured data can be done fast and effectively, when the redundancy of the Web meets knowledge over the to-be-extracted data.
Starting Page	726
Ending Page	737
File Size	632596
Page Count	12
File Format	PDF
ISBN	9781467300421
ISSN	10844627
e-ISBN	9780769547473
DOI	10.1109/ICDE.2012.90
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-04-01
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Data mining HTML Semantics Web pages Wrapping Feature extraction Silicon
Content Type	Text
Resource Type	Article
Subject	Signal Processing Information Systems Software

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