The core of Industry 4.0 is knowledge operationally encapsulated as data, which must be of
peak veracity for efficient, effective, and sustainable control and coordination of its cyber—
physical components. However, the volume, velocity, and variety of these data demand a
search and retrieval mechanism that guarantees peak veracity in time, context, and situation
of the data consumed from an available pool of data. Specifically, the machine sovereignty
of Industry 4.0 demands that this mechanism be semantically deepened. This chapter …

As the world enters the era of big data, there is a serious need to give a semantic
perspective to the data in order to find unseen patterns, derive meaningful information, and
make intelligent decisions. Semantic technologies offer the richest machine-interpretable
(rather than just machine-processable) and explicit semantics that are being extensively
used in various domains and industries. These technologies reduce the problem of large
semantic loss in the process of modelling knowledge, and provide sharable, reusable …