Equip** machines with comprehensive knowledge of the world's entities and their
relationships has been a longstanding goal of AI. Over the last decade, large-scale …

Abstract Web Data Extraction is an important problem that has been studied by means of
different scientific tools and in a broad range of applications. Many approaches to extracting …

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 automatic extraction of information from unstructured sources has opened up new
avenues for querying, organizing, and analyzing data by drawing upon the clean semantics …

In the last few years, several works in the literature have addressed the problem of data
extraction from Web pages. The importance of this problem derives from the fact that, once …

Data warehouses are databases of a specific kind that periodically collect information about
the activities being performed by an organization. This information is then accumulated over …

While much of a company's knowledge can be found in text repositories, current content
management systems have limited capabilities for structuring and interpreting documents. In …

Extracting data from web pages. User input is received defining a tabular form. User input is
received correlating portions of the form with user selected data items contained in one or …

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 …

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 …