Semantic sensor networks use declarative descriptions of sensors promote reuse and
integration, and to help solve the difficulties of installing, querying and maintaining complex …

As text semantics has an important role in text meaning, the term semantics has been seen
in a vast sort of text mining studies. However, there is a lack of studies that integrate the …

This book presents the advancements and applications of neutrosophics, which are
generalizations of fuzzy logic, fuzzy set, and imprecise probability. The neutrosophic logic …

Defining a formal domain ontology is generally considered a useful, not to say necessary
step in almost every software project. This is because software deals with ideas rather than …

We present an approach to hybrid semantic Web service matching that complements logic
based reasoning with approximate matching based on syntactic IR based similarity …

Around 2006, the inception of Linked Data [2] has led to a realignment of the Semantic Web
vision and the realization that data is not merely a way to evaluate our theoretical …

Two main data models are currently used for representing knowledge and information in
computer systems. Database models, especially relational databases, have been the leader …

Currently, the World Wide Web is primarily composed of documents written in HTML (Hyper
Text Markup Language), a language that is useful for publishing information. HTML is a set …

The Semantic Web proposes the mark-up of content on the Web using formal ontologies that
structure underlying data for the purpose of comprehensive and transportable machine …

Deep Learning has already proven to be the primary technique to address a number of
problems. It holds further promise in solving more challenging problems if we can overcome …