Reusing ontologies for new purposes, or adapting them to new use-cases, is frequently
difficult. In our experiences, we have found this to be the case for several reasons:(i) differing …

Ontology Matching (OM), is a critical task in knowledge integration, where aligning
heterogeneous ontologies facilitates data interoperability and knowledge sharing …

Background: It is assumed that the implementation of health information technology
introduces new vulnerabilities within a complex sociotechnical health care system, but no …

In recent years, there has been a growing interest in the use of reference conceptual models
to capture information about complex and sensitive business domains (eg, finance …

The management of the riverine water has always remained an open challenge. The
variation of water flow creates hurdles to determine the exact time and the quantity of water …

Design for manufacturing and assembly (DfMA) has been widely applied to support the
decision-making process in offsite construction. With a DfMA approach, cost estimation …

Background: Ontology matching seeks to find semantic correspondences between
ontologies. With an increasing number of biomedical ontologies being developed …

During the creation and integration of a health care system based on medical knowledge
graphs, it is necessary to review and select the vocabularies and definitions that best fit the …

The use of structured query formulation languages is a method for gaining access to data in
information management systems. Writing structured queries is a powerful method of data …

The amount and variety of raw data generated in the agriculture sector from
numeroussources, including soil sensors and local weather stations, are proliferating …