Extracting Personal Concepts from Users’ Emails to Initialize Their Personal Information Models
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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