ONTOLOGY-BASED EMAIL CATEGORIZATION AND TASK INFERENCE USING A LEXICON-ENHANCED ONTOLOGY

Prashant Gandhi, Roger Tagg

Abstract

Today’s knowledge workers are increasingly faced with the problem of information overload as they use current IT systems for performing daily tasks and activities. This paper focuses on one source of overload, namely electronic mail. Email has evolved from being a basic communication tool to a resource used – and misused – for a wide variety of purposes. One possible approach is to wean the user away from the traditional, often cluttered, email inbox, toward an environment where sorted and prioritized lists of tasks are presented. This entails categorizing email messages around personal work topics, whilst also identifying implied tasks in messages that users need to act upon. A prototype email agent, based on the use of a personal ontology and a lexicon, has been developed to test these concepts in practice. During the work, an opportunistic user survey was undertaken to try to better understand the current task management practices of knowledge workers and to aid in the identification of potential future improvements to our prototype.

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Paper Citation


in Harvard Style

Gandhi P. and Tagg R. (2009). ONTOLOGY-BASED EMAIL CATEGORIZATION AND TASK INFERENCE USING A LEXICON-ENHANCED ONTOLOGY . In Proceedings of the 11th International Conference on Enterprise Information Systems - Volume 4: ICEIS, ISBN 978-989-8111-87-6, pages 101-107. DOI: 10.5220/0001996101010107


in Bibtex Style

@conference{iceis09,
author={Prashant Gandhi and Roger Tagg},
title={ONTOLOGY-BASED EMAIL CATEGORIZATION AND TASK INFERENCE USING A LEXICON-ENHANCED ONTOLOGY},
booktitle={Proceedings of the 11th International Conference on Enterprise Information Systems - Volume 4: ICEIS,},
year={2009},
pages={101-107},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0001996101010107},
isbn={978-989-8111-87-6},
}


in EndNote Style

TY - CONF
JO - Proceedings of the 11th International Conference on Enterprise Information Systems - Volume 4: ICEIS,
TI - ONTOLOGY-BASED EMAIL CATEGORIZATION AND TASK INFERENCE USING A LEXICON-ENHANCED ONTOLOGY
SN - 978-989-8111-87-6
AU - Gandhi P.
AU - Tagg R.
PY - 2009
SP - 101
EP - 107
DO - 10.5220/0001996101010107