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Building a story tracer out of a web archive
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International Conference on Digital Libraries archive
Proceedings of the 8th ACM/IEEE-CS joint conference on Digital libraries table of contents
Pittsburgh PA, PA, USA
POSTER SESSION: Posters table of contents
Pages 455-455  
Year of Publication: 2008
ISBN:978-1-59593-998-2
Authors
Lian'en Huang  Peking University, Beijing, China
Jonathan J. H. Zhu  City University of Hong Kong, Hong Kong, China
Xiaoming Li  Peking University, Beijing, China
Sponsors
SIGWEB: ACM Special Interest Group on Hypertext, Hypermedia, and Web
SIGIR: ACM Special Interest Group on Information Retrieval
ACM: Association for Computing Machinery
Publisher
ACM  New York, NY, USA
Bibliometrics
Downloads (6 Weeks): 13,   Downloads (12 Months): 74,   Citation Count: 0
Additional Information:

abstract   references   index terms   collaborative colleagues  

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ABSTRACT

There are quite a few web archives around the world, such as Internet Archive and Web InfoMall (http://www.infomall.cn). Nevertheless, we have not seen substantial mechanism built on top of the archives to render the value of the data beyond what the Wayback machine offers. One of the reasons for this situation is the lack of a system vision and design which encompasses the oceanic data in a meaningful and cost-effective way. This paper describes an effort in this direction.


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
L. Huang, H. Yan, and X. Li, "Engineering of Web InfoMall: The Chinese Web Archive," Procs of The World Engineers' Convention (Vol A), Shanghai, China, Nov 2004. pp217--222.

INDEX TERMS

Primary Classification:
  H. Information Systems
  H.3 INFORMATION STORAGE AND RETRIEVAL
      H.3.3 Information Search and Retrieval
          Subjects: Search process

Additional Classification:
  H. Information Systems
  H.3 INFORMATION STORAGE AND RETRIEVAL
      H.3.3 Information Search and Retrieval
          Subjects: Information filtering


General Terms:
Design, Experimentation


Keywords:
text mining, web archive

Collaborative Colleagues:
Lian'en Huang: colleagues
Jonathan J. H. Zhu: colleagues
Xiaoming Li: colleagues

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