RECOGNIZING WORK PRIORITIES AND TASKS IN INCOMING MESSAGES THROUGH PERSONAL ONTOLOGIES SUPPLEMENTED BY LEXICAL CLUES
Email has been recognized as one of the chief sources of the current epidemic of information
overload. The work described in this paper is part of an ongoing project to re-focus the attention of
information workers on “what needs to be done” rather than “what someone wants us to read”. The
approach is to base a software agent that pre-processes incoming email on the user’s “personal
ontology”. The ontology used in this work contained two facets, namely Work Topics and Task Types,
and also included lexical “clues” whereby, if such a word or phrase is found in the text of a message,
the system can infer with a certain probability that a particular ontology concept (class or instance) is
relevant. The paper describes the prototype tools developed and some initial trials. Further trials and
improvements are planned.
Tagg, Roger; Gandhi, Prashant; and Srinivasan Kumaar, Raaj, "RECOGNIZING WORK PRIORITIES AND TASKS IN INCOMING MESSAGES THROUGH PERSONAL ONTOLOGIES SUPPLEMENTED BY LEXICAL CLUES" (2009). ECIS 2009 Proceedings. 370.