A method for automating the extraction of specialized information from the web

Lin, Ling; Liotta, Antonio; Hippisley, Andrew

Abstract

The World Wide Web can be viewed as a gigantic distributed database including millions of interconnected hosts some of which publish information via web servers or peer-to-peer systems. We present here a novel method for the extraction of semantically rich information from the web in a fully automated fashion. We illustrate our approach via a proof-of-concept application which scrutinizes millions of web pages looking for clues as to the trend of the Chinese stock market. We present the outcomes of a 210-day long study which indicates a strong correlation between the information retrieved by our prototype and the actual market behavior.

Citation

Lin, L., Liotta, A., & Hippisley, A. (2005, December). A method for automating the extraction of specialized information from the web. Presented at International Conference on Computational and Information Science 2005, Xi'an, China

• Presentation Conference Type: Conference Paper (Published)
• Conference Name: International Conference on Computational and Information Science 2005
• Start Date: Dec 15, 2005
• End Date: Dec 19, 2005
• Publication Date: 2005
• Deposit Date: Dec 3, 2019
• Publisher: Springer
• Pages: 489-494
• Series Title: Lecture Notes in Computer Science
• Series Number: 3801
• Series ISSN: 0302-9743
• Book Title: Computational Intelligence and Security International Conference, CIS 2005, Xi’an, China, December 15-19, 2005, Proceedings Part I
• ISBN: 978-3-540-30818-8
• DOI: https://doi.org/10.1007/11596448_72
• Keywords: information extraction; Web; automation; information retrieval
• Public URL: http://researchrepository.napier.ac.uk/Output/1995940