W. May and G. Lausen. Information Extraction from the Web. Technical Report 136, Universitat Freiburg, Institut fur Informatik, 2000. Available from http://www. informatik.uni-freiburg.de/~dbis/Integration/. Home/Search Document Details and Download
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Towards Automatic Web Genre Identification: A Corpus-Based.. - Rehm (2002) (2 citations) (Correct)
....probably concentrate our efforts on the information extraction task. Up to now, there has been a lot of research upon which we can build within the field of Information Extraction with regard to the Web; most importantly, on different approaches to the manual or automatic construction of Wrappers [22, 16, 34, 2, 28, 23]. Wrappers are highly specialised software modules that are able to parse HTML documents belonging to a tightly defined thematic domain (e.g. car or real estate advertisements) in order to extract their information. The Web genre notion could be optimally used to generalize these up to now ....
W. May and G. Lausen. Information Extraction from the Web. Technical Report 136, Computer Science Institute, Freiburg University, March 2000. http://www.informatik.uni-freiburg.de/ ~may/Publics/.
Handling XML with Florid3.0/FloXML Addendum to Manual - Wolfgang May May Self-citation (May) (Correct)
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W. May and G. Lausen. Information Extraction from the Web. Technical Report 136, Universitat Freiburg, Institut fur Informatik, 2000. Available from http://www. informatik.uni-freiburg.de/~dbis/Integration/.
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