Results 101 to 110 of about 689,318 (241)

Biomedical ontology alignment with BERT.

, 2022
Existing machine learning-based ontology alignment systems often adopt complicated feature engineering or traditional non-contextual word embeddings. However, they are often outrun by the rule-based sys- tems despite the model complexity. This paper proposes a novel ontology alignment system based on a contextual embedding model named BERT, aiming to ...
He, Y, Chen, J, Antonyrajah, D, Horrocks, I   +3 more
openaire   +2 more sources

Networked Ontologies with Contextual Alignments

Computing and Informatics, 2019
The problem of knowledge heterogeneity in the Semantic Web or in the context of information systems remains a major challenge for the scientific community, in particular when several ontologies developed independently and separately have to be exploited to exchange their knowledge.
Klai, Sihem, Zimmermann, Antoine, Khadir, Mohamed Tarek   +2 more
openaire   +4 more sources

Towards Defect Phase Diagrams: From Research Data Management to Automated Workflows

Advanced Engineering Materials, EarlyView.
A research data management infrastructure is presented for the systematic integration of heterogeneous experimental and simulation data required for defect phase diagrams. The approach combines openBIS with a companion application for large‐object storage, automated metadata extraction, provenance tracking and federated data access, thereby supporting ...
Khalil Rejiba, Sang‐Hyeok Lee, Christina Gasper, Martina Freund, Sandra Korte‐Kerzel, Ulrich Kerzel   +5 more
wiley   +1 more source

A Survey on Ontologies’ Adaptability and Interoperability

Cybernetics and Information Technologies
Interoperability issues emerge due to differences in the sizes and expressive powers of ontologies. Although ontologies are expressive, they tend to lack flexibility. Research shows that specialized ontologies are not merely advantageous for a particular
Dahir Sarah, Qadi Abderrahim El
doaj   +1 more source

A Knowledge‐Based Approach for Understanding and Managing Additive Manufacturing Data

Advanced Engineering Materials, EarlyView.
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, Prithwish Tarafder, Anton Wiberg, Huanyu Li, Johan Moverare, Patrick Lambrix   +5 more
wiley   +1 more source

Optimization Models for Reaction Networks: Information Divergence, Quadratic Programming and Kirchhoff’s Laws

Axioms, 2014
This article presents a simple derivation of optimization models for reaction networks leading to a generalized form of the mass-action law, and compares the formal structure of Minimum Information Divergence, Quadratic Programming and Kirchhoff type ...
Julio Michael Stern, Fabio Nakano
doaj   +1 more source

Fostering Innovation: Streamlining Magnetocaloric Materials Research by Digitalization

Advanced Engineering Materials, EarlyView.
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, Moritz Blum, Luana Caron, Alisa Chirkova, Philipp Cimiano, Basil Ell, Inga Ennen, Michael Feige, Maik Gaerner, Thomas Hilbig, Andreas Hütten, Günter Reiss, Tapas Samanta, Sonja Schöning, Christian Schröder, Lennart Schwan, Chris Taake, Martin Wortmann   +17 more
wiley   +1 more source

Accurate Identification of Ontology Alignments at Different Granularity Levels

IEEE Access, 2017
As more and more ontologies are defined with different terms, ontology matching plays a crucial role in addressing the semantic heterogeneity problem in many different disciplines.
Xiaocao Hu, Zhiyong Feng, Shizhan Chen, Keman Huang, Jianqiang Li, Mengchu Zhou   +5 more
doaj   +1 more source

Results of the ontology alignment evaluation initiative 2022

, 2023
84128The Ontology Alignment Evaluation Initiative (OAEI) aims at comparing ontology matching systems on precisely defined test cases. These test cases can be based on ontologies of different levels of complexity and use different evaluation modalities ...
Lambrix, Patrick, Fallatah, Omaima, Ibanescu, Liliana, Hertling, Sven, Pour, Mina Abd Nikooie, Wu, Mingfang, Li, Huanyu, Nasr, Engy, Faria, Daniel, He, Yuan, Algergawy, Alsayed, Trojahn, Cassia, Karam, Naouel, Horrocks, Ian, Laadhar, Amir, Shvaiko, Pavel, Saveta, Tzanina, Buche, Patrice, Fundulaki, Irini, Paulheim, Heiko, Huschka, Martin, Jiménez-Ruiz, Ernesto, Yaman, Beyza, Verhey, Chantelle, Zamazal, Ondrej, Dong, Hang, Zhou, Lu, Li, Yunhai, Michel, Franck, Castro, Leyla J., Pesquita, Catia, Chen, Jiaoyan   +31 more
core   +1 more source

Is an Apple an Orange? A Large Language Model Benchmark for Candidate Term Extraction and Subclass Decisions Against Upper Ontologies in Engineering and Materials Science

Advanced Engineering Materials, EarlyView.
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, Maximilian Holland, Klaus Drechsler, Johannes Schilp   +3 more
wiley   +1 more source