Summary Internet of Things (IoT) is highly heterogeneous in terms of devices,
communication technologies, protocols, data formats, and semantics. Data generated from …

Ontologies have become a popular means of knowledge sharing and reuse. This has
motivated the development of large-sized independent ontologies within the same or …

Ontology alignment (aka ontology matching (OM)) plays a critical role in knowledge
integration. Owing to the success of machine learning in many domains, it has been applied …

In recent years, the decentralized development of ontologies has led to the generation of
multiple ontologies of overlap** knowledge. This heterogeneity problem can be tackled by …

Despite progress in the development of standards for describing and exchanging scientific
information, the lack of easy-to-use standards for map** between different representations …

Business process management has been the driving force of optimization and operational
efficiency for companies until now, but the digitalization era we have been experiencing …

Ontology alignment plays a critical role in knowledge integration and has been widely
investigated in the past decades. State of the art systems, however, still have considerable …

Ontology Matching (OM) plays an important role in many domains such as bioinformatics
and the Semantic Web, and its research is becoming increasingly popular, especially with …

Abstract Socio-Ecological Systems (SESs) are the systems in which our everyday lives are
embedded, so understanding them is important. The complex properties of such systems …

Background While representation learning techniques have shown great promise in
application to a number of different NLP tasks, they have had little impact on the problem of …