| アイテムタイプ |
学術雑誌論文 / Journal Article.(1) |
| 公開日 |
2018-03-01 |
| 書誌情報 |
en : Future Generation Computer Systems
巻 76,
p. 528-539,
発行日 2017-11
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| タイトル |
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|
タイトル |
Ontology-based data semantic management and application in IoT- and cloud-enabled smart homes |
|
言語 |
en |
| 言語 |
|
|
言語 |
eng |
| キーワード |
|
|
言語 |
en |
|
主題Scheme |
Other |
|
主題 |
Smart home |
| キーワード |
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|
言語 |
en |
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主題Scheme |
Other |
|
主題 |
IoT and cloud computing |
| キーワード |
|
|
言語 |
en |
|
主題Scheme |
Other |
|
主題 |
Data semantic fusion |
| キーワード |
|
|
言語 |
en |
|
主題Scheme |
Other |
|
主題 |
Ontology data storage |
| キーワード |
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|
言語 |
en |
|
主題Scheme |
Other |
|
主題 |
Semantic reasoning |
| 資源タイプ |
|
|
資源タイプ識別子 |
http://purl.org/coar/resource_type/c_6501 |
|
資源タイプ |
journal article |
| アクセス権 |
|
|
アクセス権 |
open access |
|
アクセス権URI |
http://purl.org/coar/access_right/c_abf2 |
| 著者 |
TAO, Ming
太田, 香
董, 冕雄
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| 室蘭工業大学研究者データベースへのリンク |
|
|
表示名 |
太田 香（OTA Kaoru） |
|
URL |
http://rdsoran.muroran-it.ac.jp/html/100000140_ja.html |
| 室蘭工業大学研究者データベースへのリンク |
|
|
表示名 |
董 冕雄（DONG Mianxiong） |
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URL |
http://rdsoran.muroran-it.ac.jp/html/100000145_ja.html |
| 抄録 |
|
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内容記述タイプ |
Abstract |
|
内容記述 |
The application of emerging technologies of Internet of Things (IoT) and cloud computing have increasing the popularity of smart homes, along with which, large volumes of heterogeneous data have been generating by home entities. The representation, management and application of the continuously increasing amounts of heterogeneous data in the smart home data space have been critical challenges to the further development of smart home industry. To this end, a scheme for ontology-based data semantic management and application is proposed in this paper. Based on a smart home system model abstracted from the perspective of implementing users’ household operations, a general domain ontology model is designed by defining the correlative concepts, and a logical data semantic fusion model is designed accordingly. Subsequently, to achieve high-efficiency ontology data query and update in the implementation of the data semantic fusion model, a relational-database-based ontology data decomposition storage method is developed by thoroughly investigating existing storage modes, and the performance is demonstrated using a group of elaborated ontology data query and update operations. Comprehensively utilizing the stated achievements, ontology-based semantic reasoning with a specially designed semantic matching rule is studied as well in this work in an attempt to provide accurate and personalized home services, and the efficiency is demonstrated through experiments conducted on the developed testing system for user behavior reasoning. |
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言語 |
en |
| 出版者 |
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出版者 |
Elsevier |
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言語 |
en |
| 出版者版へのリンク |
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|
表示名 |
10.1016/j.future.2016.11.012 |
|
URL |
https://doi.org/10.1016/j.future.2016.11.012 |
| DOI |
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関連タイプ |
isVersionOf |
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識別子タイプ |
DOI |
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関連識別子 |
10.1016/j.future.2016.11.012 |
| 日本十進分類法 |
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主題Scheme |
NDC |
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主題 |
007 |
| ISSN |
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収録物識別子タイプ |
PISSN |
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収録物識別子 |
0167739X |
| 権利 |
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|
権利情報 |
© 2017. This manuscript version is made available under the CC-BY-NC-ND 4.0 license http://creativecommons.org/licenses/by-nc-nd/4.0/ |
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言語 |
en |
| 著者版フラグ |
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出版タイプ |
AM |
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出版タイプResource |
http://purl.org/coar/version/c_ab4af688f83e57aa |
| フォーマット |
|
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内容記述タイプ |
Other |
|
内容記述 |
application/pdf |
FGCS_76_528_539 (753.1 kB)
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