Results 91 to 100 of about 821,533 (281)

The PRIMA Thesaurus for Materials Science and Engineering

Advanced Engineering Materials, EarlyView.
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, Alexey Boubnov, Dario De Angelis, Catriona Eschke, Maximilian Kabbe, Felix Kraus, Mirco Panighel, Richard Thelen, Davide Valentinis   +8 more
wiley   +1 more source

Inconsistency Repair to Improve the Alignment Results of Ontology Matchers

International Journal of Information and Communication Technology Research, 2017
Ontology inconsistency is one of the most important topics in the field of ontology matching. Until now many matchers are introduced but most of them suffer from inconsistencies.
Bahareh Behkamal, Mahmoud Naghibzadeh
doaj  

Matching disease and phenotype ontologies in the ontology alignment evaluation initiative

Journal of Biomedical Semantics, 2017
Background The disease and phenotype track was designed to evaluate the relative performance of ontology matching systems that generate mappings between source ontologies.
Ian Harrow, Ernesto Jiménez-Ruiz, Andrea Splendiani, Martin Romacker, Peter Woollard, Scott Markel, Yasmin Alam-Faruque, Martin Koch, James Malone, Arild Waaler   +9 more
doaj   +1 more source

Current Status and Challenges in Data Collection for Aerospace Coatings Deposited by Plasma Spraying

Advanced Engineering Materials, EarlyView.
An innovative approach has been integrated into the GRENAT project to optimize plasma spraying and coating performance. Raw materials are accelerated and melted in the plasma generated by torches, creating coatings. Monitoring sensors collect process data which are combined with ex situ characterization data.
Lila Randriamananjara, Vincent Rat, Quentin Dubreuil, Patrice Valorge, Simon Goutier, Alain Denoirjean, Olivier Messe, Céline Ruelle, Jean‐Philippe Poli   +8 more
wiley   +1 more source

Retracted: Application of Ontology Matching Algorithm Based on Linguistic Features in English Pronunciation Quality Evaluation. [PDF]

Occup Ther Int, 2023
International OT.
europepmc   +1 more source

Ontology‐Aligned Structuring and Reuse of Multimodal Materials Data and Workflows Toward Automatic Reproduction

Advanced Engineering Materials, EarlyView.
Reproduction of stacking fault energy calculations from literature with a semi‐automated large language model‐assisted extraction procedure: extraction of simulation protocol, atomistic structures, computational parameters, and reported results, ontology alignment, knowledge graph construction and, finally, recomputation forvalidation.
Sepideh Baghaee Ravari, Abril Azocar Guzman, Sarath Menon, Stefan Sandfeld, Tilmann Hickel, Markus Stricker   +5 more
wiley   +1 more source

Matching heterogeneous ontologies via transfer learning

Alexandria Engineering Journal
Ontology matching plays a pivotal role in aligning entities across diverse ontologies, enhancing interoperability and data exchange. Similarity features are the foundation of ontology matching, which assess entity similarities from multiple perspectives.
Xingsi Xue, Osamah Ibrahim Khalaf
doaj   +1 more source

The Evaluation of Ontology Matching versus Text [PDF]

Informatică economică, 2010
Lately, the ontologies have become more and more complex, and they are used in different domains. Some of the ontologies are domain independent; some are specific to a domain.
Andreea-Diana MIHIS
doaj  

Argumentation over Ontology Correspondences in MAS [PDF]

, 2007
In order to support semantic interoperation in open environments, where agents can dynamically join or leave and no prior assumption can be made on the ontologies to align, the different agents involved need to agree on the semantics of the terms used ...
Payne, Terry R., Euzenat, Jerome, Tamma, Valentina, Laera, Loredana, Bench-Capon, Trevor, Blacoe, Ian   +5 more
core   +2 more sources

Results from experiments in ontology learning including evaluation and recommendation [PDF]

, 2007
This document describes the Ontology Learning experiments we performed in order to recommend a set of ontology learning techniques to enhance the ontology engineering process in the fisheries domain in place at FAO. Experiments have been conceived in the
Caracciolo, Caterina, D'Aquin, Mathieu, Sabou, Marta, Voelker, Johanna, Peters, Wim   +4 more
core   +1 more source