The dramatic increase in the use of knowledge discovery applications requires end users to
write complex database search requests to retrieve information. Such users are not only …

Ontology-based information integration is a useful method to integrate heterogeneous data
at the semantic level. However, there are some bottlenecks of the traditional method for …

An ontology is a formal, explicit specification of a shared conceptualization. Ontologies are
used in many fields, such as software engineering, information extraction, semantic search …

The exponential growth of data has made ontology modeling an up-and-coming research
area for knowledge representation. One of the domains of interest is represented by Cultural …

The absence of requirement documents or incompatibility of the requirement documents
with existing software can be a problem in developing or maintaining software. Without …

The spread of demand-response (DR) programs in Europe is a slow but steady process to
optimize the use of renewable energy in different sectors including manufacturing. A …

Along with the rapidly growing scale of relational database (RDB), how to construct domain-
related ontologies from various databases effectively and efficiently has been a bottleneck of …

For integrating relational databases (RDBs) into semantic web applications, the W3C
RDB2RDF Working Group recommended two approaches, Direct Mapping (DM) and …

BACKGROUND: With the continuous expansion of urban scale and the increasing
concentration of population, public health crisis has become an important part of urban …

An early vision in Computer Science was focused on Artificial Intelligence (AI) to produce
intelligent systems capable of reasoning on huge amounts of data. Since the huge amount …