NDLI: Annotating Structured Data of the Deep Web

Content Provider	IEEE Xplore Digital Library
Author	Yiyao Lu Hai He Hongkun Zhao Weiyi Meng Yu, C.
Copyright Year	2007
Description	Author affiliation: State Univ. of New York, Binghamton, NY, USA (Yiyao Lu; Hai He; Hongkun Zhao; Weiyi Meng)
Abstract	An increasing number of databases have become Web accessible through HTML form-based search interfaces. The data units returned from the underlying database are usually encoded into the result pages dynamically for human browsing. For the encoded data units to be machine processable, which is essential for many applications such as deep Web data collection and comparison shopping, they need to be extracted out and assigned meaningful labels. In this paper, we present a multi-annotator approach that first aligns the data units into different groups such that the data in the same group have the same semantics. Then for each group, we annotate it from different aspects and aggregate the different annotations to predict a final annotation label. An annotation wrapper for the search site is automatically constructed and can be used to annotate new result pages from the same site. Our experiments indicate that the proposed approach is highly effective.
Starting Page	376
Ending Page	385
File Size	150539
Page Count	10
File Format	PDF
ISBN	1424408024
DOI	10.1109/ICDE.2007.367883
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2006-04-15
Publisher Place	Turkey
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Relational databases HTML Humans Books Search engines Information retrieval Spatial databases Helium Data mining Aggregates
Content Type	Text
Resource Type	Article

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