Proceedings of the 2016 6th International Conference on Applied Science, Engineering and Technology

Information Retrieval System Based on Context-aware in Internet of Things

Authors
Junhong Ma
Corresponding Author
Junhong Ma
Available Online May 2016.
DOI
10.2991/icaset-16.2016.75How to use a DOI?
Keywords
Context-aware computing, Internet of things, information retrieval, Ontology
Abstract

The Context-aware computing in internet of things plays an important role in extracting useful information from a large amount of data. In this paper, through analysis on the characteristics of information in internet of things, using existing internet situation cognitive computing technology, the authors put forward an improved information retrieval method which could present the retrieval results through integration of situational factors into calculation, feature extraction and semantic representation. Finally, the experiments showed that the proposed system could improve the efficiency of information retrieval.

Copyright
© 2016, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 2016 6th International Conference on Applied Science, Engineering and Technology
Series
Advances in Engineering Research
Publication Date
May 2016
ISBN
10.2991/icaset-16.2016.75
ISSN
2352-5401
DOI
10.2991/icaset-16.2016.75How to use a DOI?
Copyright
© 2016, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Junhong Ma
PY  - 2016/05
DA  - 2016/05
TI  - Information Retrieval System Based on Context-aware in Internet of Things
BT  - Proceedings of the 2016 6th International Conference on Applied Science, Engineering and Technology
PB  - Atlantis Press
SP  - 374
EP  - 378
SN  - 2352-5401
UR  - https://doi.org/10.2991/icaset-16.2016.75
DO  - 10.2991/icaset-16.2016.75
ID  - Ma2016/05
ER  -