ACM Home Page
Please provide us with feedback. Feedback
Instructible information agents for Web mining
Full text PdfPdf (1.91 MB)
Source International Conference on Intelligent User Interfaces archive
Proceedings of the 5th international conference on Intelligent user interfaces table of contents
New Orleans, Louisiana, United States
Pages: 21 - 28  
Year of Publication: 2000
ISBN:1-58113-134-8
Authors
Mathias Bauer  DFKI, Stuhlsatzenhausweg 3, 66123 Saarbrücken, Germany
Dietmar Dengler  DFKI, Stuhlsatzenhausweg 3, 66123 Saarbrücken, Germany
Gabriele Paul  DFKI, Stuhlsatzenhausweg 3, 66123 Saarbrücken, Germany
Sponsors
SIGCHI: ACM Special Interest Group on Computer-Human Interaction
SIGART: ACM Special Interest Group on Artificial Intelligence
Publisher
ACM  New York, NY, USA
Bibliometrics
Downloads (6 Weeks): 9,   Downloads (12 Months): 30,   Citation Count: 16
Additional Information:

abstract   references   cited by   index terms   collaborative colleagues  

Tools and Actions: Request Permissions Request Permissions    Review this Article  
DOI Bookmark: Use this link to bookmark this Article: http://doi.acm.org/10.1145/325737.325758
What is a DOI?

ABSTRACT

Information agents are intended to assist their users in locating relevant information in vast collections of documents like the WWW. In many cases, e.g., when trying to integrate pieces of information from previously unrelated sources, it is not sufficient to merely identify documents containing relevant data. Instead, information agents have to identify the interesting portions of these documents and make them available for further use. This paper deals with the problem of training an information agent to identify and extract interesting pieces of information from online documents.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

 
1
Ambite, J.L. and Knoblock, C.A. Flexible and Scalable Query Planning in Distributed and Heterogeneous Environments, in Proceedings of the Fourth International Conference on Artificial Intelligence Planning Systems (Pittsburgh, PA, 1998).
2
3
 
4
 
5
Kushmerick, N., Weld, D., and Doorenbos, R.: Wrapper Induction for Information Extraction, in Proce.edings of the 15th International Joint Conference on Artificial Intelligence (Nagoya, Japan, 1997), 729-735.
6
7
 
8
Muslea I., Minton S., Knoblock C. STALKER: Learning Extraction Rules for Semistructured, Webbased Information Sources, AAAI-98 Workshop on "AI & INFORMATION INTEGRATION" (Madison, WI, 1998).
 
9
Pazzani, M., Muramatsu, J., and Billsus, D. Syskill & Webert: Identifying Interesting Web Sites, in Proceedings of the 131h National Conference on Artificial Intelligence (AAA196) (Portland, OR, August 1996), 54-61.
 
10
Raskutti, B. and Zukerman, I. Acquisition of Information to Determine a User's Plan, in Proceedings of the IIth European Conference on Artificial Intelligence (Amsterdam, August 1994), 28-32.
 
11
 
12

CITED BY  16

Collaborative Colleagues:
Mathias Bauer: colleagues
Dietmar Dengler: colleagues
Gabriele Paul: colleagues