Abstract The adoption of Knowledge Graphs (KGs) by public and private organizations to
integrate and publish data has increased in recent years. Ontologies play a crucial role in …

Many Web developers nowadays are trained to build applications with a user-facing
browser front-end that obtains predictable data structures from a single, well-known back …

The automation of electronic waste disassembly processes is very challenging due to the
diversity and conditions of the products, but also due to the heterogeneous disassembly …

High data quality (eg, completeness, accuracy, non-redundancy) is essential to ensure the
trustworthiness of AI applications. In such applications, huge amounts of data is integrated …

Extracting interoperable metadata from data entities is not an easy task. A method for this
would need to extract non-interoperable metadata values first and then map the extracted …

Abstract The adoption of Semantic Web and Linked Data technologies in web application
development has been hindered by the complexity of numerous standards, such as RDF …

Data quality is of central importance for the qualitative evaluation of decisions taken by AI-
based applications. In practice, data from several heterogeneous data sources is integrated …

Ontologies can represent a significant asset of domain-specific information systems, written
predominantly using the object-oriented paradigm. However, to be able to work with …

In software engineering, conceptual modelling is a technique for describing a problem
domain related to a software system. Although its primary purpose is to promote human …

Konceptuální modelování slouží v oblasti softwarového inženýrství k popisu problémové
domény související se softwarovým systémem. Ačkoliv primárním účelem je zlepšení …