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» On the Automatic Extraction of Data from the Hidden Web
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APIN
2010
107views more  APIN 2010»
13 years 8 months ago
Extracting reduced logic programs from artificial neural networks
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...
Jens Lehmann, Sebastian Bader, Pascal Hitzler
CIKM
1998
Springer
14 years 29 days ago
Ontology-Based Extraction and Structuring of Information from Data-Rich Unstructured Documents
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...
DEXA
2005
Springer
109views Database» more  DEXA 2005»
14 years 2 months ago
An XML Approach to Semantically Extract Data from HTML Tables
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
ICALT
2006
IEEE
14 years 2 months ago
A Semi-Automatic Tool using Ontology to Extract Learning Objects
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...
Bich-Liên Doan, Yolaine Bourda, Vasile Dumit...
AI
2005
Springer
13 years 8 months ago
Unsupervised named-entity extraction from the Web: An experimental study
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...