Principles of Data Integration by AnHai Doan & Alon Halevy & Zachary Ives

Author:AnHai Doan & Alon Halevy & Zachary Ives
Language: eng
Format: epub
ISBN: 9780123914798
Publisher: Elsevier Inc.
Published: 2012-06-11T04:00:00+00:00

While manually constructed wrappers can be very powerful, they often incur labor cost that is impractical when dealing with a large number of data sources. Learning approaches, in contrast, consider only limited wrapper types, but can automatically learn these using training examples. Providing such examples, typically by marking up a set of Web pages, can be done by technically naive users and requires far less work than manually writing the wrappers themselves.

This section explains learning approaches. We use HLRT, a simple wrapper learner, to explain the key ideas underlying wrapper learning. We then describe Stalker, a more complex wrapper learner, and use it to illustrate the full range of complexity in wrapper learning.

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