There is a long and unresolved debate between the symbolic and sub-symbolic methods.
However, in recent years, there is a push towards in-between methods. In this work, we …

Ontology matching is an integral part for establishing semantic interoperability. One of the
main challenges within the ontology matching operation is semantic heterogeneity, ie …

Mobile app development is an activity predominantly performed by software developers.
Domain experts and future users are merely considered in early development phases as …

Using data from different data sources is a common procedure in data-driven research. As
required data is often not available from centrally managed sources, the concept of data …

Business apps support the digitalization of business operations by utilizing the potential of
ubiquitous mobile devices. Whereas many frameworks for programming cross-platform apps …

Rising adoption of mediation systems leading to plenty of room for improvement. As a matter
of fact, schema matching is one of the biggest pressing challenges facing the improvement …

Schema matching is critical for applications that manipulate data across heterogeneous,
autonomous and scattered data sources. We pick the schema matching approach based on …

Schema matching is an important process in the Enterprise Information Integration (EII)
which is at the level of the back end to solve the problems due to the schematic …

The problem of schema matching is one of the main tasks in several processes dealing with
databases, data transformation and data integration. Schema matching involves the …

Schema matching is the process of determining the similarities among multiple schemas of
databases or websites structure. Several matching approaches have been depicted in the …