Artificial neural networks can be trained to perform excellently in many application areas. While they can learn from raw data to solve sophisticated recognition and analysis prob...
We present a new approach to extracting information from unstructured documents based on an application ontology that describes a domain of interest. Starting with such an ontolog...
David W. Embley, Douglas M. Campbell, Randy D. Smi...
Abstract. Data intensive information is often published on the internet in the format of HTML tables. Extracting some of the information that is of users’ interest from the inter...
Jixue Liu, Zhuoyun Ao, Ho-Hyun Park, Yongfeng Chen
The approach presented in this paper is intended for the semi-automatic construction of a learning object repository from HTML pages. An extraction method consists of applying the...
The KNOWITALL system aims to automate the tedious process of extracting large collections of facts (e.g., names of scientists or politicians) from the Web in an unsupervised, doma...
Oren Etzioni, Michael J. Cafarella, Doug Downey, A...