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Article

Extracting knowledge about users' activities from raw workstation contents

Published: 16 July 2006 Publication History

Abstract

A long-standing goal of AI is the development of intelligent workstation-based personal agents to assist users in their daily lives. A key impediment to this goal is the unrealistic cost of developing and maintaining a detailed knowledge base describing the user's different activities, and which people, meetings, emails, etc. are affiliated with each such activity. This paper presents a clustering approach to automatically acquiring such a knowledge base by analyzing the raw contents of the workstation, including emails, contact person names, and online calendar meetings. Our approach analyzes the distribution of email words, the social network of email senders and recipients, and the results of Google Desktop Search queried with text from online calendar entries and person contact names. For each cluster it constructs, the program outputs a frame-based representation of the conesponding user activity. This paper describes our approach and experimentally assesses its perfonnance over the workstations of three different users.

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Cited By

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  • (2012)Capturing Common Knowledge about TasksACM Transactions on Interactive Intelligent Systems10.1145/2362394.23623972:3(1-35)Online publication date: 1-Sep-2012
  • (2009)Personalization as a serviceProceedings of the first international workshop on Cloud data management10.1145/1651263.1651265(1-8)Online publication date: 2-Nov-2009
  • (2009)Discovering frequent work procedures from resource connectionsProceedings of the 14th international conference on Intelligent user interfaces10.1145/1502650.1502690(277-286)Online publication date: 8-Feb-2009
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Published In

cover image Guide Proceedings
AAAI'06: Proceedings of the 21st national conference on Artificial intelligence - Volume 1
July 2006
1005 pages
ISBN:9781577352815

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  • AAAI: American Association for Artificial Intelligence

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AAAI Press

Publication History

Published: 16 July 2006

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View all
  • (2012)Capturing Common Knowledge about TasksACM Transactions on Interactive Intelligent Systems10.1145/2362394.23623972:3(1-35)Online publication date: 1-Sep-2012
  • (2009)Personalization as a serviceProceedings of the first international workshop on Cloud data management10.1145/1651263.1651265(1-8)Online publication date: 2-Nov-2009
  • (2009)Discovering frequent work procedures from resource connectionsProceedings of the 14th international conference on Intelligent user interfaces10.1145/1502650.1502690(277-286)Online publication date: 8-Feb-2009
  • (2009)An Operable Email Based Intelligent Personal AssistantWorld Wide Web10.1007/s11280-008-0049-x12:2(125-147)Online publication date: 1-Jun-2009
  • (2008)Towards intelligent assistance for to-do listsProceedings of the 13th international conference on Intelligent user interfaces10.1145/1378773.1378822(329-332)Online publication date: 13-Jan-2008
  • (2008)Automatically finding and recommending resources to support knowledge workers' activitiesProceedings of the 13th international conference on Intelligent user interfaces10.1145/1378773.1378801(207-216)Online publication date: 13-Jan-2008
  • (2008)Teachable robotsArtificial Intelligence10.1016/j.artint.2007.09.009172:6-7(716-737)Online publication date: 1-Apr-2008
  • (2007)Sampling stable properties of massive track datasetsProceedings of the 2007 workshop on Massive datasets10.1145/1352922.1352923(2-4)Online publication date: 15-Nov-2007
  • (2007)Predicting individual priorities of shared activities using support vector machinesProceedings of the sixteenth ACM conference on Conference on information and knowledge management10.1145/1321440.1321513(515-524)Online publication date: 6-Nov-2007
  • (2007)Active EM to reduce noise in activity recognitionProceedings of the 12th international conference on Intelligent user interfaces10.1145/1216295.1216323(132-140)Online publication date: 28-Jan-2007
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