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.
|Title of host publication||Computational intelligence and security : international conference, CIS 2005, Xi'an, China, December 15-19, 2005 : proceedings, part I|
|Editors||Y. Hao, J. Liu, Y. Wang, Y-M. Cheung, H. Yin, L. Jiao, j. Ma, Y-C. Jiao|
|Place of Publication||Berlin|
|Publication status||Published - 2005|
|Name||Lecture Notes in Computer Science|