The Internet presents a huge amount of useful information which is usually formatted for its
users, which makes it difficult to extract relevant data from various sources. Therefore, the …

Liu has written a comprehensive text on Web mining, which consists of two parts. The first
part covers the data mining and machine learning foundations, where all the essential …

The rapid growth of the Web in the past two decades has made it the largest publicly
accessible data source in the world. Web mining aims to discover useful information or …

The paper investigates techniques for extracting data from HTML sites through the use of
automatically generated wrappers. To automate the wrapper generation and the data …

Various document types that combine model and view (eg, text files, webpages,
spreadsheets) make it easy to organize (possibly hierarchical) data, but make it difficult to …

Many web sites contain large sets of pages generated using a common template or layout.
For example, Amazon lays out the author, title, comments, etc. in the same way in all its book …

Domain-specific knowledge graphs have emerged as a field unto their own, steadily and
perhaps not so slowly. Graphs have been pervasive in AI for a long period of time, dating …

This paper studies the problem of extracting data from a Web page that contains several
structured data records. The objective is to segment these data records, extract data …

A large amount of information on the Web is contained in regularly structured objects, which
we call data records. Such data records are important because they often present the …

Many tools have been developed to help users query, extract and integrate data from web
pages generated dynamically from databases, ie, from the Hidden Web. A key prerequisite …