Device-Oriented Automatic Semantic Annotation in IoT

المؤلفون المشاركون

Liu, Fagui
Li, Ping
Deng, Dacheng

المصدر

Journal of Sensors

العدد

المجلد 2017، العدد 2017 (31 ديسمبر/كانون الأول 2017)، ص ص. 1-14، 14ص.

الناشر

Hindawi Publishing Corporation

تاريخ النشر

2017-06-21

دولة النشر

مصر

عدد الصفحات

14

التخصصات الرئيسية

هندسة مدنية

الملخص EN

Semantic technologies are the keys to address the problem of information interaction between assorted, heterogeneous, and distributed devices in the Internet of Things (IoT).

Semantic annotation of IoT devices is the foundation of IoT semantics.

However, the large amount of devices has led to the inadequacy of the manual semantic annotation and stressed the urgency into the research of automatic semantic annotation.

To overcome these limitations, a device-oriented automatic semantic annotation method is proposed to annotate IoT devices’ information.

The processes and corresponding algorithms of the automatic semantic annotation method are presented in detail, including the information extraction, text classification, property information division, semantic label selection, and information integration.

Experiments show that our method is effective for the automatic semantic annotation to IoT devices’ information.

In addition, compared to a typical rule-based method, the comparison experiment demonstrates that our approach outperforms this baseline method with respect to the precision and F-measure.

نمط استشهاد جمعية علماء النفس الأمريكية (APA)

Liu, Fagui& Li, Ping& Deng, Dacheng. 2017. Device-Oriented Automatic Semantic Annotation in IoT. Journal of Sensors،Vol. 2017, no. 2017, pp.1-14.
https://search.emarefa.net/detail/BIM-1187695

نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)

Liu, Fagui…[et al.]. Device-Oriented Automatic Semantic Annotation in IoT. Journal of Sensors No. 2017 (2017), pp.1-14.
https://search.emarefa.net/detail/BIM-1187695

نمط استشهاد الجمعية الطبية الأمريكية (AMA)

Liu, Fagui& Li, Ping& Deng, Dacheng. Device-Oriented Automatic Semantic Annotation in IoT. Journal of Sensors. 2017. Vol. 2017, no. 2017, pp.1-14.
https://search.emarefa.net/detail/BIM-1187695

نوع البيانات

مقالات

لغة النص

الإنجليزية

الملاحظات

Includes bibliographical references

رقم السجل

BIM-1187695