W ij ¼
aD
F
ij þ ð1 À aÞD
t
ij ;
aD
L
ij þ bD
F
ij þ ð1 À a À bÞD
t
ij ;
aD
F
rj þ ð1 À aÞD
t
rj ;
aD
L
ij þ bD
F
ij þ ð1 À a À bÞD
t
ij ;
8
> > > <
> > > :
ðLðA i Þ ¼ LðA j ÞÞ ^ ððA i &A j Þ . Ot L Þ 1
ðLðA i Þ 6 ¼ LðA j ÞÞ ^ ððA i &A j Þ . Ot G Þ 2
ðLðA i Þ ¼ LðA j ÞÞ ^ ððA i &A j Þ . Ot G-S Þ 3
ðLðA i Þ 6 ¼ LðA j ÞÞ ^ ððA i &A j Þ . Ot G-S Þ 4
Herein, the operator . representation calls different ontologies depending on the
situation.
W ij is the weight between A i and A j ; a and b are influence factors (0 < a < 1,
0 < b < 1), which are the weight of L, F and T. According to the value of the obtained
W ij , the network of dynamic relationships between entities can be constructed based on
Agents as shown in Fig. 5.
7 Conclusions
Based on the SWoT view accepted widely by scholars and the solution for the intrinsic
contradiction of IoT, this paper extends the research on SWoT. Adopt the technical idea
of Agent with CO, and the calling mechanism of CO is designed. In order to realize
Agent communication and interoperability instead of entities, the calculation formulas
of dynamic relationships between Agents are put forward based on machine learning.
Ultimately, solve the intrinsic contradiction of IoT and improve its practicability.
Acknowledgements. This work is supported by the National Natural Science Foundation of
China under Grant (No. 61371090). The authors are grateful to the anonymous referees for their
valuable comments and suggestions to improve the presentation of this paper.
References
1. Ruta M, Scioscia F, Pinto A et al (2013) Resource annotation, dissemination and discovery
in the semantic web of things: a CoAP-based framework. In: IEEE international conference
on green computing and communications and IEEE internet of things and IEEE cyber,
physical and social computing. IEEE Computer Society, pp 527–534
A 1
A 2
A 5
A 8
A 6
A 4
A 3
A 9
A 7
Fig. 5. Diagram of interoperability network between Agents
Re-sculpturing Semantic Web of Things …
561
aD
F
ij þ ð1 À aÞD
t
ij ;
aD
L
ij þ bD
F
ij þ ð1 À a À bÞD
t
ij ;
aD
F
rj þ ð1 À aÞD
t
rj ;
aD
L
ij þ bD
F
ij þ ð1 À a À bÞD
t
ij ;
8
> > > <
> > > :
ðLðA i Þ ¼ LðA j ÞÞ ^ ððA i &A j Þ . Ot L Þ 1
ðLðA i Þ 6 ¼ LðA j ÞÞ ^ ððA i &A j Þ . Ot G Þ 2
ðLðA i Þ ¼ LðA j ÞÞ ^ ððA i &A j Þ . Ot G-S Þ 3
ðLðA i Þ 6 ¼ LðA j ÞÞ ^ ððA i &A j Þ . Ot G-S Þ 4
Herein, the operator . representation calls different ontologies depending on the
situation.
W ij is the weight between A i and A j ; a and b are influence factors (0 < a < 1,
0 < b < 1), which are the weight of L, F and T. According to the value of the obtained
W ij , the network of dynamic relationships between entities can be constructed based on
Agents as shown in Fig. 5.
7 Conclusions
Based on the SWoT view accepted widely by scholars and the solution for the intrinsic
contradiction of IoT, this paper extends the research on SWoT. Adopt the technical idea
of Agent with CO, and the calling mechanism of CO is designed. In order to realize
Agent communication and interoperability instead of entities, the calculation formulas
of dynamic relationships between Agents are put forward based on machine learning.
Ultimately, solve the intrinsic contradiction of IoT and improve its practicability.
Acknowledgements. This work is supported by the National Natural Science Foundation of
China under Grant (No. 61371090). The authors are grateful to the anonymous referees for their
valuable comments and suggestions to improve the presentation of this paper.
References
1. Ruta M, Scioscia F, Pinto A et al (2013) Resource annotation, dissemination and discovery
in the semantic web of things: a CoAP-based framework. In: IEEE international conference
on green computing and communications and IEEE internet of things and IEEE cyber,
physical and social computing. IEEE Computer Society, pp 527–534
A 1
A 2
A 5
A 8
A 6
A 4
A 3
A 9
A 7
Fig. 5. Diagram of interoperability network between Agents
Re-sculpturing Semantic Web of Things …
561