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. © 2011 Springer-Verlag.
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CITATION STYLE
Schwarz, S., Marmann, F., & Maus, H. (2011). Extracting personal concepts from users’ emails to initialize their personal information models. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 6882 LNAI, pp. 430–439). https://doi.org/10.1007/978-3-642-23863-5_44
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