Motivation Biomedical ontologists to date have concentrated on ontological descriptions of
biomedical entities such as gene products and their attributes, phenotypes and so on …

Ontology is defined as an explicit specification of a shared conceptualization. Currently,
ontology is used in semantic web, information retrieval, artificial intelligence, information …

Modeling efficient knowledge bases for improving the semantic property of the World Wide
Web is mandatory for promoting innovations and developments in World Wide Web. There is …

Although measurement data from the civil engineering sector are an important basis for
scientific analyses in the field of non-destructive testing (NDT), there is still no uniform …

Background: A critical challenge in genomic medicine is identifying the genetic and
environmental risk factors for disease. Currently, the available data links a majority of known …

Scientific workflows have become the workhorse of Big Data analytics for scientists. As well
as being repeatable and optimizable pipelines that bring together datasets and analysis …

The interest in the ontology subject has grown in recent decades. Ontologies can be used to
assign semantics to information items and solve interoperability and knowledge-related …

Ontology engineering methodologies tend to emphasize the role of the knowledge engineer
or require a very active role of domain experts. In this paper, a participatory ontology …

Involvement of a domain expert in domain knowledge modeling, for its use in an automated
decision support system, has been a subject of interest in the last few decades. The process …

Abstract Knowledge validation is still a challenge when constructing knowledge-based
systems. It is one of the major reasons for user rejection and disagreement between project …