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Authors: Prashant Gandhi and Roger Tagg

Affiliation: University of South Australia, Australia

Keyword(s): Information overload, Personal information management, Task inference, Ontology, Lexicon.

Related Ontology Subjects/Areas/Topics: Agents ; Artificial Intelligence ; Artificial Intelligence and Decision Support Systems ; Enterprise Information Systems ; Intelligent Agents ; Internet Technology ; Web Information Systems and Technologies

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 identificat ion of potential future improvements to our prototype. (More)

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Paper citation in several formats:
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; ISSN 2184-4992, SciTePress, pages 101-107. DOI: 10.5220/0001996101010107

@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},
issn={2184-4992},
}

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
IS - 2184-4992
AU - Gandhi, P.
AU - Tagg, R.
PY - 2009
SP - 101
EP - 107
DO - 10.5220/0001996101010107
PB - SciTePress