Results 71 to 80 of about 1,227 (255)
This article presents the NFDI‐MatWerk Ontology (MWO), a Basic Formal Ontology‐based framework for interoperable research data management in materials science and engineering (MSE). Covering consortium structures, research data management resources, services, and instruments, MWO enables semantic integration, Findable, Accessible, Interoperable, and ...
Hossein Beygi Nasrabadi +4 more
wiley +1 more source
A unified research data management framework for heterogeneous materials data is presented. The system integrates multimodal datasets using ontologies and knowledge graphs, enabling interoperability and FAIR (findable, accessible, interoperable, reusable) data principles. By linking data across scales and workflows, it supports reproducible, Artifitial
Doaa Mohamed +6 more
wiley +1 more source
WORKING ON TRANSVERSAL COMPETENCIES OUT OF DOORS
This article has two important aspects of modern education in the spotlight. First, it discusses the need for the development of transversal competencies, as it is required from our modern society. Secondly, it gathers all the modern methods, in which this is possible in schools, mostly considering outdoor education a great way of putting it all into ...
openaire +2 more sources
Building Transversal Skills and Competences in Legal Education
AbstractAt the time when law graduates are facing new challenges in the constantly changing labor market, the main task of law schools as well as law professors is to educate undergraduates to become above all competent and ethical lawyers. Education should adequately prepare students for the working environment in or outside the legal profession ...
Marija Vlajković, Valerija Dabetić
openaire +2 more sources
A Knowledge‐Based Approach for Understanding and Managing Additive Manufacturing Data
Additive manufacturing processes generate a large amount of data. Effectively managing, understanding, and retrieving information from this data remains a major challenge. Therefore, we propose an ontology‐based approach to integrate heterogeneous data, enable semantic queries, and support decision‐making.
Mina Abd Nikooie Pour +5 more
wiley +1 more source
Fostering Innovation: Streamlining Magnetocaloric Materials Research by Digitalization
Magnetocaloric cooling (MCE) is an environmentally friendly refrigeration method with great potential. Optimizing MCE materials involves the preparation and screening of large quantities of samples, which in turn generates a large amount of data. A digitalization approach is presented that uses ontologies, knowledge graphs, and digital workflows to ...
Simon Bekemeier +17 more
wiley +1 more source
Research into the quality of education systems is essential, as robust and effective education contributes to building societies oriented towards progress and a more sustainable future.
Cecilia Latorre-Cosculluela +3 more
doaj +1 more source
Building machine‐readable vocabularies for materials science is slow, expert‐driven work. This study benchmarks 13 large language models on two of its first steps: finding candidate terms in engineering articles and deciding where they belong in a class hierarchy.
Thomas Bjarsch +3 more
wiley +1 more source
This paper describes the collaborative learning task carried out in the framework of a Strength of Materials course in an undergraduate degree program in Industrial Engineering using a wiki platform as a support tool.
L. Celorrio-Barragué +2 more
doaj +1 more source
Digitalizing electroplating requires both domain knowledge and interoperability. This work introduces PlatOn, a domain ontology for trivalent chromium plating and coating characterization, and a hybrid pipeline that aligns it to a mid‐level reference ontology by combining eight similarity metrics with language model reasoning. Expert‐validated mappings
Janik Harter +10 more
wiley +1 more source

