Semantic Web and IoT
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2.2 Main Research Challenges
The idea of integrating physical objects and communicating with each other is not a
new one. Various technologies and standards have been proposed until today. Many
of those technologies have been used and established the vision of Web of Things.
Although, one of the most crucial challenges until now is to address the interoperability of those things, technologies and standards under a common framework.
The spread of IoT and consequently the WoT is expected to fetch a huge amount
of real-time sensing and not only, data to the Web services. This leads to a vast
number of information and services that needs to be interpreted. In contrast to the
traditional web pages and documents that are accessible to the present web, WoT
will bring dynamic content that will rapidly change due to the nature of IoT data. The
search engines of WoT should efficiently provide real-time data and discover dynamic
services. In order to enable, a catholic web of things framework, research community
will need to be based on open standards independent of particular vendors, in which
every developer can extend and enrich the different developed technologies.
One other important research challenge is the research on smart object integration
on creating context-aware ambient environments. New solutions need to be suggested
in order to address this challenge. The research here is basically focused on health
domain, security and safety, retail market and smart homes.
Security, privacy and trust among different smart objects and users are a vital issue
on WoT. The widely utilization of REST interfaces has enabled the use of similar web
security approaches in WoT also (based on HTTP protocol). As the significance of
IoT data is growing rapidly, the research in trustworthiness is a very important issue,
as everyday human applications are based on those data. Trust issues are integrating
the interaction issues among smart objects. Advancements in the social WoT have
suggested new solutions to those research challenges [88].
Nowadays web applications and services are based on software for specific tasks.
However, they lack flexibility when they take into consideration human in the loop.
One of the most crucial future research challenges is when the smart object will
have to interact with humans. Over the next years, there will be virtual smart objects
that will understand human emotions, experience and reactions, providing common
sense. This will become true by extensive research combination of cognitive psychology, social IoT and advanced artificial intelligence techniques. Semantic web can
augment this research field by capturing human knowledge, feelings and experiences
in different domains (health, social life, relationships and so on.)
3 IoT Knowledge Representation with Semantic Web
Technologies
In this section we describe the semantic web technologies and standards, that are most
popular for IoT representation. How can the use of powerful formats add structure
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