Semantic Web and IoT
25
ter understanding of the different IoT domains. Web of Things’ main purpose is to
enable interoperability across IoT platforms and application domains. Overall, the
WoT’s purpose is to uphold and complement existing IoT standards and solutions
[152].
With the semantic technology in Web of Things the domain knowledge and background information are combined with sensor data, making machines easier to understand and process. Moreover, semantics provide a coherent description architecture
that enhance information and the exchange of knowledge between variable sensor
nodes. Before WOT, sensors and Web world have been completely disconnected.
With WOT IoT related data on the Web would help users in different domains by
accessing directly sensor data and monitoring the real world parameters integrated
with similar context information from the Web.
In order to meet WOT the IoT world, large-scale open interfaces and data formats
need to be optimized and incorporated with their relevant IoT counterparts [153].
Generally, IoT users are interested in real-world situations and knowledge, rather
than in sensing systems and their raw data. Through SWoT, there are the appropriate abstractions to map sensors and their raw output to real-world entities with real
semantics. To realise the SWoT researchers extend the IoT with all the remarkable
features of Semantic Web: (a) widely use URIs and HTTP, (b) connecting of domain
models through interoperable references, (c) use of common standard languages and
(d) domain expressiveness through extrapolation of logical sequences. Some other
challenges that SWoT tries to solve are: (i) gradually growing IoT ecosystems with
many individual devices; (ii) ability to interconnect devices from different vendors;
(iii) ability of open source developers to develop software applications for IoT environments; (iv) develop applications for generic domains exploiting data from various
sensors.
5 Conclusion
IoT gains increasingly popularity and its implementations are facing large advancements leading to a new digital era. IoT platforms are essentially the main component
of a comprehensive IoT solution as they allow the collection and analysis of data produced at endpoints, resulting the growth of big data analytics artificial intelligence at
the edge and other applications. The great progress in the number of network-enabled
devices deployed in real world, enhanced by advanced processing techniques, has
created vast quantities of databases. As IoT largely relies on a wide variety of heterogeneous systems and technologies, there is no standardized language for data
representation and processing. This has contributed to a large number of IoT systems that are incompatible. Thus, it is very difficult for data scientists to extract
information from the huge number of data provided by the IoT applications every
second.
Semantic web technologies try to overcome such challenges. Semantic web leverages web standards and semantic technologies to interconnect all types of devices
25
ter understanding of the different IoT domains. Web of Things’ main purpose is to
enable interoperability across IoT platforms and application domains. Overall, the
WoT’s purpose is to uphold and complement existing IoT standards and solutions
[152].
With the semantic technology in Web of Things the domain knowledge and background information are combined with sensor data, making machines easier to understand and process. Moreover, semantics provide a coherent description architecture
that enhance information and the exchange of knowledge between variable sensor
nodes. Before WOT, sensors and Web world have been completely disconnected.
With WOT IoT related data on the Web would help users in different domains by
accessing directly sensor data and monitoring the real world parameters integrated
with similar context information from the Web.
In order to meet WOT the IoT world, large-scale open interfaces and data formats
need to be optimized and incorporated with their relevant IoT counterparts [153].
Generally, IoT users are interested in real-world situations and knowledge, rather
than in sensing systems and their raw data. Through SWoT, there are the appropriate abstractions to map sensors and their raw output to real-world entities with real
semantics. To realise the SWoT researchers extend the IoT with all the remarkable
features of Semantic Web: (a) widely use URIs and HTTP, (b) connecting of domain
models through interoperable references, (c) use of common standard languages and
(d) domain expressiveness through extrapolation of logical sequences. Some other
challenges that SWoT tries to solve are: (i) gradually growing IoT ecosystems with
many individual devices; (ii) ability to interconnect devices from different vendors;
(iii) ability of open source developers to develop software applications for IoT environments; (iv) develop applications for generic domains exploiting data from various
sensors.
5 Conclusion
IoT gains increasingly popularity and its implementations are facing large advancements leading to a new digital era. IoT platforms are essentially the main component
of a comprehensive IoT solution as they allow the collection and analysis of data produced at endpoints, resulting the growth of big data analytics artificial intelligence at
the edge and other applications. The great progress in the number of network-enabled
devices deployed in real world, enhanced by advanced processing techniques, has
created vast quantities of databases. As IoT largely relies on a wide variety of heterogeneous systems and technologies, there is no standardized language for data
representation and processing. This has contributed to a large number of IoT systems that are incompatible. Thus, it is very difficult for data scientists to extract
information from the huge number of data provided by the IoT applications every
second.
Semantic web technologies try to overcome such challenges. Semantic web leverages web standards and semantic technologies to interconnect all types of devices