Task oriented context models for social life networks

Maneesh Mathai; Athula Ginige

doi:10.1007/978-3-662-44920-2_19

Task oriented context models for social life networks

Maneesh Mathai, Athula Ginige

School of Computer, Data & Mathematical Sciences

Research output: Chapter in Book / Conference Paper › Chapter

5 Citations (Scopus)

Abstract

Better decisions can be made in the profession of the users if they can easily access and filter out the relevant information from all available information sources. The mass availability of the mobile devices has enabled the users to quickly access timely information from any location. We have developed a novel approach to provide timely information in context by capturing contextual information. We developed a model to identify the context of the user by identifying the task being performed. The system through the domain experts, is aware of the information need and the information source for each task of the user and the relevant information is filtered from the information source, by using the users context. The context model was designed and tested for the farming domain, to support the livelihood activities of the farmer, by extending the concepts of social life networks.

Original language	English
Title of host publication	Software Technologies: 8th International Joint Conference, ICSOFT 2013, Reykjavik, Iceland, July 29-31, 2013, Revised Selected Papers
Editors	José Cordeiro, Marten J. van Sinderen
Place of Publication	Germany
Publisher	Springer
Pages	306-321
Number of pages	16
ISBN (Electronic)	9783662449202
ISBN (Print)	9783662449196
DOIs	https://doi.org/10.1007/978-3-662-44920-2_19
Publication status	Published - 2014

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10.1007/978-3-662-44920-2_19

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title = "Task oriented context models for social life networks",

abstract = "Better decisions can be made in the profession of the users if they can easily access and filter out the relevant information from all available information sources. The mass availability of the mobile devices has enabled the users to quickly access timely information from any location. We have developed a novel approach to provide timely information in context by capturing contextual information. We developed a model to identify the context of the user by identifying the task being performed. The system through the domain experts, is aware of the information need and the information source for each task of the user and the relevant information is filtered from the information source, by using the users context. The context model was designed and tested for the farming domain, to support the livelihood activities of the farmer, by extending the concepts of social life networks.",

author = "Maneesh Mathai and Athula Ginige",

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Task oriented context models for social life networks. / Mathai, Maneesh; Ginige, Athula.
Software Technologies: 8th International Joint Conference, ICSOFT 2013, Reykjavik, Iceland, July 29-31, 2013, Revised Selected Papers. ed. / José Cordeiro; Marten J. van Sinderen. Germany: Springer, 2014. p. 306-321.

Research output: Chapter in Book / Conference Paper › Chapter

TY - CHAP

T1 - Task oriented context models for social life networks

AU - Mathai, Maneesh

AU - Ginige, Athula

PY - 2014

Y1 - 2014

N2 - Better decisions can be made in the profession of the users if they can easily access and filter out the relevant information from all available information sources. The mass availability of the mobile devices has enabled the users to quickly access timely information from any location. We have developed a novel approach to provide timely information in context by capturing contextual information. We developed a model to identify the context of the user by identifying the task being performed. The system through the domain experts, is aware of the information need and the information source for each task of the user and the relevant information is filtered from the information source, by using the users context. The context model was designed and tested for the farming domain, to support the livelihood activities of the farmer, by extending the concepts of social life networks.

AB - Better decisions can be made in the profession of the users if they can easily access and filter out the relevant information from all available information sources. The mass availability of the mobile devices has enabled the users to quickly access timely information from any location. We have developed a novel approach to provide timely information in context by capturing contextual information. We developed a model to identify the context of the user by identifying the task being performed. The system through the domain experts, is aware of the information need and the information source for each task of the user and the relevant information is filtered from the information source, by using the users context. The context model was designed and tested for the farming domain, to support the livelihood activities of the farmer, by extending the concepts of social life networks.

UR - http://hdl.handle.net/1959.7/uws:24370

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DO - 10.1007/978-3-662-44920-2_19

M3 - Chapter

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BT - Software Technologies: 8th International Joint Conference, ICSOFT 2013, Reykjavik, Iceland, July 29-31, 2013, Revised Selected Papers

A2 - Cordeiro, José

A2 - Sinderen, Marten J. van

PB - Springer

CY - Germany

ER -

Task oriented context models for social life networks

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