Results 31 to 40 of about 59,524 (287)
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
Ontological Modeling of the Knowledge Base of Intellectual GIS of Digital Agriculture
Introduction. The field of digital agriculture requires effective management of agricultural resources based on intelligent analysis of heterogeneous spatiotemporal data collected from various sensor sources.
Anisa Kasim, Masud Kasim
doaj +1 more source
The purpose of the research is studying helminths of carnivorous birds of the order of owls (Strigiformes) found in the Non-Black Earth Region of the Russian Federation.Materials and methods.
V. V. Dorokhov, O. E. Davydova
doaj +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
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
The PRIMA Thesaurus for Materials Science and Engineering
The PRIMA Thesaurus is a structured vocabulary designed to improve how materials science data is described and shared. Developed with input from multiple experts, it enables clear documentation of research workflows, data exchange, and reuse across platforms.
Rossella Aversa +8 more
wiley +1 more source
What's Changed fix funowl version by @cmungall in https://github.com/linkml/linkml-owl/pull/33 Full Changelog: https://github.com/linkml/linkml-owl/compare/v0.2.5...v0.2.
Chris Mungall, Nomi Harris, Sujay Patil
core +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
RDB2OWL: AN IMPROVED METHOD FOR CONVERTING RELATIONAL DATABASES INTO OWL
One of the biggest advantages of the Semantic web is to describe data with a well-defined meaning and link between data by using the OWL (Web Ontology Language). Today most data are stored in relational databases.
Phạm Thị Thu Thúy
doaj +1 more source
The NCBO OBOF to OWL Mapping [PDF]
Two of the most significant formats for biomedical ontologies are the Open Biomedical Ontologies Format (OBOF) and the Web Ontology Language (OWL). To make it possible to translate ontologies between these two representation formats, the National Center ...
John-Day Richter +6 more
core

