Abstract
Although the Semantic Desktop paradigm has great potential, new users have to face the cold-start problem. Having to start with empty models is a barrier to any semantic technology and filling them with world-known concepts does not work for personal models. We propose to analyze the email database of a user and extract concepts of multiple types to fill the empty PIMO. The paper presents results of the research project Semopad funded by the Stiftung Rheinland-Pfalz für Innovation under contract no. 961-386261/1001.
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Schwarz, S., Marmann, F., Maus, H. (2011). Extracting Personal Concepts from Users’ Emails to Initialize Their Personal Information Models. In: König, A., Dengel, A., Hinkelmann, K., Kise, K., Howlett, R.J., Jain, L.C. (eds) Knowlege-Based and Intelligent Information and Engineering Systems. KES 2011. Lecture Notes in Computer Science(), vol 6882. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-23863-5_44
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DOI: https://doi.org/10.1007/978-3-642-23863-5_44
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