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Improving information quality in email exchanges by identifying entities and related objects

Published: 30 October 2008 Publication History

Abstract

The information quality of email exchanges is often low, and -- as mobile devices are more and more often used for communication -- it becomes increasingly important to try to improve the quality by providing additional information, related to email contents. The field of information extraction (IE) provides relevant tools to recognize objects that could potentially be enriched with additional information. On the other hand, service oriented architecture (SOA) comes across, providing services that can serve information related to given entities. In this work we show how IE and SOA can be combined to improve information quality. We focus on demonstrating the capabilities of state of the art methods without considering efficiency of the methods, as it is well known. We demonstrate a proof-of-concept application, where we show a scenario how such an increase in information quality in quality can be achieved.

References

[1]
Addressing information overload in corporate email: The economics of user attention. Technical report, The Radicati Group, Inc, 2007.
[2]
A. J. Flanagin and M. J. Metzger. The role of site features, user attributes, and information verification behaviors on the perceived credibility of web-based information. New Media Society, 9:319, 2007.
[3]
B. J. Fogg. Persuasive Technology: Using Computers to Change what We Think and Do. Morgan Kaufmann Publishers, 2003.
[4]
R. Wang and D. Strong. Beyond accuracy: What data quality means to data consumers. Journal of Management Information Systems, 12(4):5--34, 1996.

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    cover image ACM Conferences
    WICOW '08: Proceedings of the 2nd ACM workshop on Information credibility on the web
    October 2008
    100 pages
    ISBN:9781605582597
    DOI:10.1145/1458527
    Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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    Association for Computing Machinery

    New York, NY, United States

    Publication History

    Published: 30 October 2008

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    Author Tags

    1. applications
    2. demonstration
    3. entity recognition
    4. object identification

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    CIKM08
    CIKM08: Conference on Information and Knowledge Management
    October 30, 2008
    California, Napa Valley, USA

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    Overall Acceptance Rate 9 of 19 submissions, 47%

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