A web document is similar in concept to a web page, but also satisfies the following broader definition by W3C:

Every Web document has its own URI. Note that a Web document is not the same as a file: a single Web document can be available in many different formats and languages, and a single file, for example a PHP script, may be responsible for generating a large number of Web documents with different URIs. A Web document is defined as something that has a URI and can return representations (responses in a format such as HTML or JPEG or RDF) of the identified resource in response to HTTP requests. In technical literature … the term Information Resource is used instead of Web document.[1]

The term web document has been used as a fuzzy term in many sources[2][3][4][5][6] but in all of them the W3C definition given above applies. Recent research in such fields as web document retrieval and web document analysis[7][8][9][10][11][12] has revived interest in clarifying the terminology.

References

  1. ^ Sauermann, Leo; Cyganiak, Richard (December 3, 2008). “Cool URIs for the Semantic Web”. W3C. 
  2. ^ “W3C Recommended list of XML-Web documents”. 
  3. ^ G. Penn, J. Hu, H. Luo, R. McDonald (2001). Flexible Web Document Analysis for Delivery to Narrow-Bandwidth Devices. pp. 1074–1078. doi:10.1109/ICDAR.2001.953951. ISBN 0-7695-1263-1. 
  4. ^ L. Xiao, X. Zhang, and Z. Xu (2002). On reliable and scalable peer-to-peer Web document sharing. pp. 23–30. doi:10.1109/IPDPS.2002.1015498. ISBN 0-7695-1573-8. 
  5. ^ US 5802530, Van Hoff, Arthur A., “Web document based graphical user interface” 
  6. ^ First International Workshop on Web Document Analysis. WDA2001. 
  7. ^ B. Poblete and R. Baeza-Yates (2008). Query-sets: using implicit feedback and query patterns to organize web documents. pp. 41–50. doi:10.1145/1367497.1367504. ISBN 978-1-60558-085-2. 
  8. ^ A. Fujii (2008). Modeling anchor text and classifying queries to enhance web document retrieval. pp. 337–346. doi:10.1145/1367497.1367544. ISBN 978-1-60558-085-2. 
  9. ^ Apostolos Antonacopoulos (2003). Web Document Analysis: Challenges and Opportunities. World Scientific. ISBN 981-238-582-7. 
  10. ^ Web Document Analysis 2005. WDA2005. 
  11. ^ Kang, In-Ho; Kim, GilChang (2003). Query type classification for web document retrieval. pp. 64–71. doi:10.1145/860435.860449. ISBN 1-58113-646-3. 
  12. ^ O. Zamir and O. Etzioni (1998). Web document clustering: a feasibility demonstration. pp. 46–54. doi:10.1145/290941.290956. ISBN 1-58113-015-5. 

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