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 …

The KnowItAll system aims to automate the tedious process of extracting large collections of
facts (eg, names of scientists or politicians) from the Web in an unsupervised, domain …

An ever-increasing amount of information on the Web today is available only through search
interfaces: the users have to type in a set of keywords in a search form in order to access the …

There are major trends to advance the functionality of search engines to a more expressive
semantic level. This is enabled by the advent of knowledge-sharing communities such as …

Network data is ubiquitous, encoding collections of relationships between entities such as
people, places, genes, or corporations. While many resources for networks of interesting …

Information Extraction (IE) is a sub discipline of Artificial Intelligence. IE identifies information
in unstructured information source that adheres to predefined semantics ie people, location …

Multi-tenant data management is a form of software as a service (SaaS), whereby a third
party service provider hosts databases as a service and provides its customers with …

The contents of many valuable Web-accessible databases are only available through
search interfaces and are hence invisible to traditional Web" crawlers." Recently …

Learning text patterns that suggest a desired type of information is a common strategy for
extracting information from unstructured text on the Web. In this paper, we introduce the idea …

This monograph proposes a comprehensive and fully automatic approach to designing text
analysis pipelines for arbitrary information needs that are optimal in terms of run-time …