The success of machine represented web known as semantic web largely hinges on
ontologies. Ontology is a data modeling technique for structured data repository premised …

Majority of customers and manufacturers who tend to purchase and trade via e-commerce
websites primarily rely on reviews before making purchasing decisions and product …

Existing knowledge systems incorporate knowledge retrieval techniques that represent
knowledge as rules, facts or a hierarchical classification of objects. Knowledge …

Abstract Background/Objectives: The research aims to explore differences among various
ontology development tools, its languages; finallydevelopedandvisualizedontologyons …

In today's manufacturing settings, a sudden increase in the customer demand may enforce
manufacturers to alter their manufacturing systems either by adding new resources or …

Ontology can be defined as hierarchical representation of classes, sub classes, their
properties and instances. It has led to understanding the concepts of given domain, deriving …

The complex and chaotic crisis created by terrorism demands for situation awareness which
is possible with the proposed Indian Terrorism Knowledge Treasure (ITKT). Objective: This …

Experimentation is a crucial method in empirical inquiry and is widely applied in Computer
Science. Controlled experimentation ensures reproducibility, transparency, and reliability of …

Online social networks (OSNs) are now implied as an important source of news and
information besides establishing social connections. However, such information sharing is …

Ontology is one of the central area in natural language processing (NLP), artificial
intelligence (AI) information retrieval (IR) and semantic web (SW). If you are working on …