A Method for Automating the Extraction of Specialized Information from the Web
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
Document Type
Book Chapter
Publication Date
2005
Language
English
Digital Object Identifier (DOI)
http://dx.doi.org/10.1007/11596448_72
Repository Citation
Lin, Ling; Liotta, Antonio; and Hippisley, Andrew R., "A Method for Automating the Extraction of Specialized Information from the Web" (2005). Linguistics Faculty Publications. 6.
https://uknowledge.uky.edu/lin_facpub/6
Notes/Citation Information
This chapter and book are part of Lecture Notes in Computer Science Series, Volume 3801/2005.