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Building an Intelligent Web: Theory and Practice
book

Building an Intelligent Web: Theory and Practice

by Pawan Lingras, Rajendra Akerkar
March 2010
Intermediate to advanced content levelIntermediate to advanced
326 pages
12h 25m
English
Jones & Bartlett Learning
Content preview from Building an Intelligent Web: Theory and Practice
“4137X˙CH07˙Akerkar” — 2007/9/8 — 11:21 — page 273 — #11
7.3 Search Engines 273
for constructing the higher levels of the MLDB. These hierarchies can be created using the
WordNet Semantic Network, a database of the English language. Nouns, adjectives, verbs,
and adverbs are divided into groups of synonyms and linked together using both lexical and
semantic relationships.
WebML, which is a web data-mining query language specifically designed to provide data-
mining operations on the MLDB, is an extension of the Data-Mining Query Language (DMQL).
Documents are accessed using data-mining operations and lists of keywords. A key character-
istic
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Publisher Resources

ISBN: 9780763741372