Semantic Web Mining aims at combining the two fast-developing research areas Semantic
Web and Web Mining. This survey analyzes the convergence of trends from both areas …

We consider here the problem of building a never-ending language learner; that is, an
intelligent computer agent that runs forever and that each day must (1) extract, or read …

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 …

Semantic annotation is a crucial part of achieving the vision of the Semantic Web and has
long been a research topic among various communities. The most challenging problem in …

In the last decade, ontologies have received much attention within computer science and
related disciplines, most often as the semantic web. Ontology Learning and Population from …

Traditionally, information extraction from web tables has focused on small, more or less
homogeneous corpora, often based on assumptions about the use of tags. A multitude of …

We present an end-to-end system that extracts a user's social network and its members'
contact information given the user's email inbox. The system identifies unique people in …

There has been little prior work on Named Entity Recognition for” informal” documents like
email. We present two methods for improving performance of person name recognizers for …

A fundamental difficulty in recognizing human activities is obtaining the labeled data needed
to learn models of those activities. Given emerging sensor technology, however, it is …

Many researchers are trying to use information extraction (IE) to create large-scale
knowledge bases from natural language text on the Web. However, the primary approach …