Alleviating information overload caused by volumes of numerical web data: the concept and development process

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© The Institution of Engineering and Technology
Published 30/07/2012

Abstract

The really simple syndication (RSS), a popular information dissemination mechanism, to some extent, eases the overloaded users on the Web. However, because of the limitation in its original design, currently available RSS applications cannot salvage overloaded information consumers from volumes of numerical Web data. The present work aims to change the working pattern of users who rely on processing numerical Web data to accomplish their tasks and correspondingly to improve their productivity. An extended schema was developed for formally representing numerical data items in RSS documents, and thus data providers can distribute numerical data and textual messages to subscribers. A client-side productive tool was designed to support retrieval and manipulation of numerical data from RSS feeds, its prototype was developed to realise the proposed idea and demonstrate its usefulness. Based on the observation of actual usage, the foreseeable effect of this kind of applications is reducing users’ time spent on surfing, collecting, calculating and tracking numerical data on the Web. To make the present work more versatile and serve diverse users, it is rational to augment the prototyped tool as a general-purpose computing platform.

Inspec keywords: text analysis; Internet; information retrieval; information dissemination; human computer interaction

Other keywords: general-purpose computing platform; client-side productive tool; numerical Web data; textual messages; numerical data manipulation; RSS documents; development process; concept process; numerical data retrieval; information dissemination mechanism; information overload; really simple syndication

Subjects: Ergonomic aspects of computing; Generation, dissemination, and use of information; Information networks; Information retrieval techniques; Document processing techniques

References

    1. 1)
      • Swain, M.R., Haka, S.F.: `Effects of information load on capital budgeting decisions', Behav. Res. Account., 2000, 12, p. 171-199
    2. 2)
      • Bawden, D.: `Information overload', Libr. Inf. Briefings, 2001, 92, p. 1-30
    3. 3)
      • Schneider, S.C.: `Information overload: causes and consequences', Hum. Syst. Manage., 1987, 7, p. 143-153
    4. 4)
      • Baldacchino, C., Armistead, C., Parker, D.: `Information overload: its time to face the problem', Manage. Serv., 2002, 46, p. 18-19
    5. 5)
    6. 6)
      • Hammersley, B.: Developing feeds with RSS and atom, 2005 (O' Reilly Media Inc.)
    7. 7)
    8. 8)
      • http://www.intertwingly.net/wiki/pie/Rss20AndAtom10Compared, accessed 20 April 2011
    9. 9)
    10. 10)
      • http://www.ietf.org/rfc/rfc5023.txt, accessed 20 April 2011
    11. 11)
      • Hu, C.-L., Chou, C.-K.: `RSS watchdog: an instant event monitor on real online news streams', Proc 18th ACM Conf. on Information and Knowledge Management, 2009, Hong Kong, China, p. 2097–2098
    12. 12)
    13. 13)
    14. 14)
      • Jian, Z., Hanshi, W.: `Application of e-commerce personality searching based on RSS', The 2nd IEEE Int. Conf. on Information Management and Engineering, 2010, p. 197-199
    15. 15)
    16. 16)
    17. 17)
      • http://www.bittorrent.com/, accessed 15 April 2011
    18. 18)
      • http://en.wikipedia.org/wiki/BitTorrent_(protocol), accessed 10 April 2011
    19. 19)
      • http://www.eweek.com/c/a/Messaging-and-Collaboration/BitTorrent-and-RSS-Create-Disruptive-Revolution/, accessed 12 April 2011
    20. 20)
      • http://www.php.net/, accessed 1 June 2008
    21. 21)
      • https://rome.dev.java.net/, accessed 1 June 2008
    22. 22)
      • http://www.jdom.org, accessed 1 June 2008
    23. 23)
      • http://xerces.apache.org/xerces-j/, accessed 1 June 2008
    24. 24)
      • http://db.apache.org/derby/, accessed 15 July 2010
    25. 25)
    26. 26)
    27. 27)
    28. 28)
      • Rahwan, I., Kowalczyk, R., Pham, H.H.: `Intelligent agents for automated one-to-many e-commerce negotiation', 25thAustralasian Conf. on Computer Science, 2002, Melbourne, Australia, p. 197–204
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