2026-09-19T05:36:24Zhttps://dspace.mit.edu/server/oai/requestoai:dspace.mit.edu:1721.1/906842022-01-13T07:54:46Zcom_1721.1_7582com_1721.1_7581col_1721.1_131023
Stuart Madnick.
Botla, Purushotham (Purushotham Shriramulu)
System Design and Management Program.
System Design and Management Program.
Massachusetts Institute of Technology. Engineering Systems Division
2014-10-08T15:22:37Z
2014-10-08T15:22:37Z
2013
2013
http://hdl.handle.net/1721.1/90684
890933055
Thesis: S.M. in Engineering and Management, Massachusetts Institute of Technology, Engineering Systems Division, System Design and Management Program, 2013.
Cataloged from PDF version of thesis.
Includes bibliographical references (pages 100-102).
Adoption of social network sites and use of smart phones with number of sensors in them has digitized user's activities in real-time. Smart phone applications such as calendar, email, and notes contain lot of user information and provide a view into user's activities, while sensors such as GPS sensor can be used to passively find information about the user. In addition to this user and device data, these devices have access to the Internet that can be leveraged to build powerful applications. Personal assistant software (smart agent) can be used as an interface to the digital world to make the consumption of this information timely and efficient for the user's specific tasks. Goal of the thesis is to design personal assistant software that understands the semantics of the task, is able to decompose the task into multiple tasks within the context of the user and plan these tasks for the user. It will be designed using semantic web technologies and knowledge databases to understand the relations between the tasks. Agent will be integrated with online web-services to harvest the data available on-line with the data available on the device and help the user to manage his or her tasks. Two use cases are covered in this thesis document to explore automation capabilities and planning capabilities of the agent. Design of the agent using the two use cases helped in the design of sub-modules within the agent system, and also highlighted the requirements on external data and knowledge sources.
by Purushotham Botla.
S.M. in Engineering and Management
102 pages
eng
Massachusetts Institute of Technology
M.I.T. theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. See provided URL for inquiries about permission.
http://dspace.mit.edu/handle/1721.1/7582
Engineering Systems Division.
System Design and Management Program.
Designing personal assistant software for task management using semantic web technologies and knowledge databases
Thesis
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Publication
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<Abstract>Adoption of social network sites and use of smart phones with number of sensors in them has digitized user's activities in real-time. Smart phone applications such as calendar, email, and notes contain lot of user information and provide a view into user's activities, while sensors such as GPS sensor can be used to passively find information about the user. In addition to this user and device data, these devices have access to the Internet that can be leveraged to build powerful applications. Personal assistant software (smart agent) can be used as an interface to the digital world to make the consumption of this information timely and efficient for the user's specific tasks. Goal of the thesis is to design personal assistant software that understands the semantics of the task, is able to decompose the task into multiple tasks within the context of the user and plan these tasks for the user. It will be designed using semantic web technologies and knowledge databases to understand the relations between the tasks. Agent will be integrated with online web-services to harvest the data available on-line with the data available on the device and help the user to manage his or her tasks. Two use cases are covered in this thesis document to explore automation capabilities and planning capabilities of the agent. Design of the agent using the two use cases helped in the design of sub-modules within the agent system, and also highlighted the requirements on external data and knowledge sources.</Abstract>
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