Annotating Structured Data of the Deep Web

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 essent...

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Bibliographic Details
Published in2007 IEEE 23rd International Conference on Data Engineering pp. 376 - 385
Main Authors Yiyao Lu, Hai He, Hongkun Zhao, Weiyi Meng, Yu, C.
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.04.2007
Subjects
Aggregates
Data mining
Helium
HTML
Humans
Information retrieval
Relational databases
Search engines
Spatial databases
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Summary: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.
ISBN:9781424408023
1424408024
ISSN:1063-6382
2375-026X
DOI:10.1109/ICDE.2007.367883