Formal concept analysis (FCA) visualizes formal concepts in terms of a concept lattice.
Usually, it is an NP‐problem and consumes plenty of time and storage space to update the …

Higher education today operates in a globally competitive environment. Competition is
increasingly focused on quality. The quality of higher education reflects the relationship of …

It is well accepted that domain ontologies can support requirement analysis activities,
particularly in detecting inconsistencies and incompleteness of requirement models. These …

Formal concept analysis (FCA) is an unsupervised machine learning technique used for
knowledge discovery and representation. A major task in FCA is the enumeration of the …

Semantic-enhanced recommendation systems are promising approaches to overcome the
sparsity and cold-start problems, which are hard to handle using the conventional …

Incessant delays in the administration of justice in land disputes cases caused by inability to
access similar cases often lead people to take laws into their own hands, resulting in wanton …

The application of knowledge graphs has been restricted in some domains, especially the
industrial and academic domains. One of the reasons is that they require a high reliability of …

Granular computing is the emerging technique which performs data processing through
making multiple levels of descriptions. Each level of description is expressed through …

Ontology merging is an important task in ontology engineering to date. However, despite the
efforts devoted to ontology merging, the incorporation of relevant features of ontologies such …

Ontologies are the prime way of organizing data in the Semantic Web. Often, it is necessary
to combine several, independently developed ontologies to obtain a complete …