Abstract
Even in Web 2.0 era, email is still the most popular application on the internet. Beset by many problems, such as spam or information overload, yet it yields significant benefits especially to enterprise users when communicating, collaborating or solving business tasks. The email standards, content, services and clients improved a lot, but the integration with the environment and enterprise context remained pretty much the same. We believe that this can be improved by introducing our work in progress – the Acoma context-sensitive recommendation tool. Acoma processes emails on the server or desktop side and attaches the relevant information from various sources to the email messages. It can be used with any email client or mobile device since it is hooked up to email as a proxy to email protocols. In order to provide useful recommendations, emails need to be processed and business objects need to be identified. Thus the paper also discusses the object identification using the information extraction techniques based on the Ontea tool, as well as its customization in the enterprise context.
This work is supported by projects the Commius FP7-213876, APVV DO7RP-0005-08, AIIA APVV-0216-07 and VEGA 2/0184/10. We would also like to thank Anasoft, Fedit, Aitek, Softeco, Techfin and SANET for providing us emails for testing, and for their support within customization of information extraction process.
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Laclavík, M., Šeleng, M., Dlugolinsky, Š., Gatial, E., Hluchý, L. (2010). Tools for Email Based Recommendation in Enterprise. In: Quintela Varajão, J.E., Cruz-Cunha, M.M., Putnik, G.D., Trigo, A. (eds) ENTERprise Information Systems. CENTERIS 2010. Communications in Computer and Information Science, vol 109. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-16402-6_23
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DOI: https://doi.org/10.1007/978-3-642-16402-6_23
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