Loading [MathJax]/extensions/TeX/ieeemacros.js
Web information extraction for content augmentation | IEEE Conference Publication | IEEE Xplore

Web information extraction for content augmentation


Abstract:

Today, users have to cope with an overwhelming number of TV channels and Web content sources. We introduce automatic content augmentation as a novel approach to contextua...Show More

Abstract:

Today, users have to cope with an overwhelming number of TV channels and Web content sources. We introduce automatic content augmentation as a novel approach to contextual information extraction on behalf of the user where the context is provided by the primary content source (i.e. TV channel) and tailored by the user's preferences. A key aspect of this approach is Web information extraction (WebIE) which automatically derives structured information from unstructured Web documents. Our system executes WebIE tasks, each an instantiation of WebIE rules, our generic document processors. We present two WebIE approaches: diffusion WebIE that crawls a wide set of Web pages and extracts information from a subset of the pertinent pages; and laser WebIE that accesses a select set of Web pages and extracts narrowly defined information. We describe the architecture and the implementation details of the system and provide detailed laser WebIE examples.
Date of Conference: 26-29 August 2002
Date Added to IEEE Xplore: 07 November 2002
Print ISBN:0-7803-7304-9
Conference Location: Lausanne, Switzerland
Philips Research USA, Briarcliff Manor, NY, USA
Philips Research USA, Briarcliff Manor, NY, USA

Philips Research USA, Briarcliff Manor, NY, USA
Philips Research USA, Briarcliff Manor, NY, USA

References

References is not available for this document.