Results 91 to 100 of about 11,868 (248)

FAIR and Interactive Data Graphics from a Scientific Knowledge Graph

open access: yesScientific Data, 2022
Graph databases capture richly linked domain knowledge by integrating heterogeneous data and metadata into a unified representation. Here, we present the use of bespoke, interactive data graphics (bar charts, scatter plots, etc.) for visual exploration ...
Michael E. Deagen   +6 more
doaj   +1 more source

Ontology‐Based Data Acquisition, Refinement, and Utilization in the Development of a Multilayer Ferrite Inductor

open access: yesAdvanced Engineering Materials, Volume 27, Issue 8, April 2025.
Multilayer ferrite inductor prototypes are fabricated by cofiring metallized tapes of NiCuZn ferrite and glass‐ceramic composite. Prerequisites for a predictive component simulation are discussed. An automated data‐pipeline stores and semantically links the experimental data acquired in the study according to a domain ontology.
Björn Mieller   +8 more
wiley   +1 more source

Concepts for a Semantically Accessible Materials Data Space: Overview over Specific Implementations in Materials Science

open access: yesAdvanced Engineering Materials, Volume 27, Issue 8, April 2025.
This manuscript presents advances in digital transformation within materials science and engineering, emphasizing the role of the MaterialDigital Initiative. By testing and applying concepts such as ontologies, knowledge graphs, and integrated workflows, it promotes semantic interoperability and data‐driven innovation. The article reviews collaborative
Bernd Bayerlein   +44 more
wiley   +1 more source

An Ontology‐Augmented Digital Twin for Fiber‐Reinforced Polymer Structures at the Example of Wind Turbine Rotor Blades

open access: yesAdvanced Engineering Materials, Volume 27, Issue 8, April 2025.
A methodology for establishing an ontology‐augmented structural digital twin for fiber‐reinforced polymer structures dedicated to individual lifetime prediction, in this case, a wind turbine rotor blade, is introduced. The methodology resembles the manufacturing as well as the operation of the structure.
Marc Luger   +6 more
wiley   +1 more source

SPARQL playground: A block programming tool to experiment with SPARQL [PDF]

open access: yes, 2015
SPARQL is a powerful query language for Semantic Web data sources but one which is quite complex to master. As the block programming paradigm has been succesfully used to teach programming skills, we propose a tool that allows users to build and run SPARQL queries on an endpoint without previous knowledge of the syntax of SPARQL and the model of the ...
BOTTONI, Paolo Gaspare   +1 more
openaire   +1 more source

Sparklis: An expressive query builder for SPARQL endpoints with guidance in natural language

open access: yesSemantic Web, 2016
SPARKLIS is a Semantic Web tool that helps users explore and query SPARQL endpoints by guiding them in the interactive building of questions and answers, from simple ones to complex ones.
Sébastien Ferré
semanticscholar   +1 more source

Semantic Orchestration and Exploitation of Material Data: A Dataspace Solution Demonstrated on Steel and Copper Applications

open access: yesAdvanced Engineering Materials, Volume 27, Issue 8, April 2025.
This article introduces the Dataspace Management System (DSMS), a methodological framework realized in software, designed as a technology stack to power dataspaces with a focus on advanced knowledge management in materials science and manufacturing. DSMS leverages heterogeneous data through semantic integration, linkage, and visualization, aligned with
Yoav Nahshon   +7 more
wiley   +1 more source

Seamless Science: Lifting Experimental Mechanical Testing Lab Data to an Interoperable Semantic Representation

open access: yesAdvanced Engineering Materials, Volume 27, Issue 8, April 2025.
In pursuit of modern data management techniques, this study presents an in‐lab pipeline combining electronic laboratory notebooks (eLabFTW) and Python scripts for creating semantically enriched, interoperable, machine‐actionable data. Automating data mapping enhances usability, collaboration, and unified knowledge representation.
Markus Schilling   +7 more
wiley   +1 more source

An empirical performance evaluation of a semantic-based data retrieving process from RDBs & RDF data storages

open access: yesMaskana, 2017
SQL and, more recently, SPARQL are standard languages of the software industry for retrieving data. Other studies showed that retrieving data by using a SPARQL query is much slower than the semantically equivalent SQL query.
Leandro Tabares Martín   +3 more
doaj  

Ontologies for FAIR Data in Additive Manufacturing: A Use Case‐Based Evaluation

open access: yesAdvanced Engineering Materials, Volume 27, Issue 8, April 2025.
An ontology‐based approach for generating findable, accessible, interoperable, reusable data in additive manufacturing is explored, focusing on powder bed fusion. The article highlights the benefits of enhanced data findability and digital twin enablement, while addressing challenges like data integration complexity and the need for specialized ...
Thomas Bjarsch   +2 more
wiley   +1 more source

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