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 …

In order to achieve interoperability of information in the context of the Semantic Web, it is
necessary to find effective ways to align different ontologies. As the number of ontologies …

In the era of mobile big data, data driven intelligent Internet of Things (IoT) applications are
becoming widespread, and knowledge-based reasoning is one of the essential tasks of …

Enterprise architecture facilitates the alignment between different domains, such as
business, applications and information technology. These domains must be described with …

In order to optimize intelligent applications driven by various sensors, it is vital to properly
interpret and reuse sensor data from different domains. The construction of semantic maps …

Abstract The Observational Medical Outcomes Partnership (OMOP) Common Data Model
(CDM) provides a unified model to integrate disparate real-world data (RWD) sources. An …

Data Spaces are an emerging concept for the trusted implementation of data-based
applications and business models, offering a high degree of flexibility and sovereignty to all …

In the last decade, the World Wide Web has been evolving as a data infrastructure, where a
wide variety of resources is increasingly being made available as Web services. This trend …

Meta-heuristics are used as a tool for ontology mapping process in order to improve their
performance in mapping quality and computational time. In this article, ontology mapping is …

Agents, whether software or hardware, perceive their environment through sensors and act
using actuators, often operating in dynamic, partially observable settings. They face …