Providing multilayered context for building smart home

Kwang Won Koha; Chang Ik Choib; Kyung Lang Park; Shin Young Lim; Shin Dug Kim

Providing multilayered context for building smart home

Kwang Won Koha, Chang Ik Choib, Kyung Lang Park, Shin Young Lim, Shin Dug Kim

College of Computing

Research output: Contribution to journal › Article › peer-review

Abstract

Ubiquitous computing supports context-aware applications under smart environment. Currently, generality, reusability, and simple query mechanism of the context are issued to realize the context-awareness. In this work, a well-structured architecture to support context-awareness, namely context engine, is designed. For this goal, multilayered contexts which consist of raw context, general context, application specific context, and inferred context, are defined to provide the generality of the context engine, and several components are composed to support the context-aware applications efficiently. The evaluation shows the generality of the proposed context engine is quite applicable to the smart home environment. Keywords: Context engine, context-awareness, smart home, ubiquitous computing.

Original language	English
Pages (from-to)	S275-S288
Journal	Journal of Computational Methods in Sciences and Engineering
Volume	6
Issue number	5-6
Publication status	Published - 2006

Bibliographical note

Funding Information:
Support for the research reported in this chapter was provided by grants from the National Institutes of Health (HD-28425) to Patricia Bauer. Additional support for preparation of the manuscript was provided for Erica Kleinknecht through an Institutional National Research Service Award provided by the National Institutes of Mental Health (MH-15755) to the Institute of Child Development at the University of Minnesota. We also thank the many collaborators who have helped to make the research possible. Those most directly associated with the research discussed are Stephanie Bangston, Leslie Carver, Patricia Dropik, Christine Leehey, Jennifer Rademacher, Emily Stark, Jennie Waters, Jennifer Wenner, and Sandi Wewerka. We also thank Hill Goldsmith for consultation and the children and parents who graciously volunteered their time and energy to the efforts reported herein.

Publisher Copyright:
© 2006 - IOS Press and the authors. All rights reserved.

All Science Journal Classification (ASJC) codes

Engineering(all)
Computer Science Applications
Computational Mathematics

Cite this

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title = "Providing multilayered context for building smart home",

abstract = "Ubiquitous computing supports context-aware applications under smart environment. Currently, generality, reusability, and simple query mechanism of the context are issued to realize the context-awareness. In this work, a well-structured architecture to support context-awareness, namely context engine, is designed. For this goal, multilayered contexts which consist of raw context, general context, application specific context, and inferred context, are defined to provide the generality of the context engine, and several components are composed to support the context-aware applications efficiently. The evaluation shows the generality of the proposed context engine is quite applicable to the smart home environment. Keywords: Context engine, context-awareness, smart home, ubiquitous computing.",

author = "Koha, {Kwang Won} and Choib, {Chang Ik} and Park, {Kyung Lang} and Lim, {Shin Young} and Kim, {Shin Dug}",

note = "Funding Information: Support for the research reported in this chapter was provided by grants from the National Institutes of Health (HD-28425) to Patricia Bauer. Additional support for preparation of the manuscript was provided for Erica Kleinknecht through an Institutional National Research Service Award provided by the National Institutes of Mental Health (MH-15755) to the Institute of Child Development at the University of Minnesota. We also thank the many collaborators who have helped to make the research possible. Those most directly associated with the research discussed are Stephanie Bangston, Leslie Carver, Patricia Dropik, Christine Leehey, Jennifer Rademacher, Emily Stark, Jennie Waters, Jennifer Wenner, and Sandi Wewerka. We also thank Hill Goldsmith for consultation and the children and parents who graciously volunteered their time and energy to the efforts reported herein. Publisher Copyright: {\textcopyright} 2006 - IOS Press and the authors. All rights reserved.",

year = "2006",

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N1 - Funding Information: Support for the research reported in this chapter was provided by grants from the National Institutes of Health (HD-28425) to Patricia Bauer. Additional support for preparation of the manuscript was provided for Erica Kleinknecht through an Institutional National Research Service Award provided by the National Institutes of Mental Health (MH-15755) to the Institute of Child Development at the University of Minnesota. We also thank the many collaborators who have helped to make the research possible. Those most directly associated with the research discussed are Stephanie Bangston, Leslie Carver, Patricia Dropik, Christine Leehey, Jennifer Rademacher, Emily Stark, Jennie Waters, Jennifer Wenner, and Sandi Wewerka. We also thank Hill Goldsmith for consultation and the children and parents who graciously volunteered their time and energy to the efforts reported herein. Publisher Copyright: © 2006 - IOS Press and the authors. All rights reserved.

PY - 2006

Y1 - 2006

N2 - Ubiquitous computing supports context-aware applications under smart environment. Currently, generality, reusability, and simple query mechanism of the context are issued to realize the context-awareness. In this work, a well-structured architecture to support context-awareness, namely context engine, is designed. For this goal, multilayered contexts which consist of raw context, general context, application specific context, and inferred context, are defined to provide the generality of the context engine, and several components are composed to support the context-aware applications efficiently. The evaluation shows the generality of the proposed context engine is quite applicable to the smart home environment. Keywords: Context engine, context-awareness, smart home, ubiquitous computing.

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Providing multilayered context for building smart home

Abstract

Bibliographical note

All Science Journal Classification (ASJC) codes

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