Results 91 to 100 of about 822,981 (308)

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

open access: yesAdvanced Engineering Materials, EarlyView.
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

Exploring Clique Transversal Problems for d-degenerate Graphs with Fixed d: From Polynomial-Time Solvability to Parameterized Complexity

open access: yesAxioms
This paper explores the computational challenges of clique transversal problems in d-degenerate graphs, which are commonly encountered across theoretical computer science and various network applications. We examine d-degenerate graphs to highlight their
Chuan-Min Lee
doaj   +1 more source

The Equational Approach to CF2 Semantics [PDF]

open access: yesarXiv, 2012
We introduce a family of new equational semantics for argumentation networks which can handle odd and even loops in a uniform manner. We offer one version of equational semantics which is equivalent to CF2 semantics, and a better version which gives the same results as traditional Dung semantics for even loops but can still handle odd loops.
arxiv  

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

open access: yesAdvanced Engineering Materials, EarlyView.
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

Editorial: Current thoughts on the brain-computer analogy—All metaphors are wrong, but some are useful

open access: yesFrontiers in Ecology and Evolution, 2023
Giorgio Matassi   +5 more
doaj   +1 more source

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

open access: yesAdvanced Engineering Materials, EarlyView.
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

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

open access: yesAdvanced Engineering Materials, EarlyView.
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

Minimal founded semantics for disjunctive logic programs and deductive databases [PDF]

open access: yesTheory and Practice of Logic Programming, 4(1): 75-93 (2004), 2003
In this paper, we propose a variant of stable model semantics for disjunctive logic programming and deductive databases. The semantics, called minimal founded, generalizes stable model semantics for normal (i.e. non disjunctive) programs but differs from disjunctive stable model semantics (the extension of stable model semantics for disjunctive ...
arxiv  

Performance Evaluation of Upper‐Level Ontologies in Developing Materials Science Ontologies and Knowledge Graphs

open access: yesAdvanced Engineering Materials, EarlyView.
This article provides examples of ontology development in the materials science domain (use‐case of Brinell hardness testing) and gives ontology developers an overview for selecting their desired top‐level ontologies (e.g., BFO, EMMO, PROVO) by considering different evaluation parameters like semantic richness, domain coverage, extensibility ...
Hossein Beygi Nasrabadi   +3 more
wiley   +1 more source

Developing an Ontology on Battery Production and Characterization with the Help of Key Use Cases from Battery Research

open access: yesAdvanced Engineering Materials, EarlyView.
Materials science research faces challenges due to diverse and evolving measurements, materials, and methods. Managing research data in a way that is understandable, comparable, and reproducible is essential for high data quality, particularly for machine learning applications.
Vincent Nebel   +8 more
wiley   +1 more source

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