Results 101 to 110 of about 2,605,876 (309)

DigiChrom: A Domain Ontology for Semantic Representation of Trivalent Chromium Platings and Its Large Language Model‐Based Alignment With Multiple Mid‐Level Ontologies

open access: yesAdvanced Engineering Materials, EarlyView.
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

Scene-Aware Deep Networks for Semantic Segmentation of Images

open access: yesIEEE Access, 2019
Scene classification and semantic segmentation are two important research directions in computer vision. They are widely used in the research of automatic driving and human–computer interaction.
Zhike Yi   +5 more
doaj   +1 more source

OntOMat: Toward Ontology‐Based Product and Process Design Engineering and Optimization Solutions Fueling Circular Value Chains

open access: yesAdvanced Engineering Materials, EarlyView.
The OntOMat ontology establishes a structured framework for polymer matrix fiber reinforced composite materials, integrating manufacturing processes, characterization methods, and multiscale design through the VDI/VDE 3682 formalized process description standard.
Nicolas Christ   +19 more
wiley   +1 more source

The relative contributions of visual and semantic information in the neural representation of object categories

open access: yesBrain and Behavior, 2019
Introduction How do multiple sources of information interact to form mental representations of object categories? It is commonly held that object categories reflect the integration of perceptual features and semantic/knowledge‐based features.
Lindsay W. Victoria   +2 more
doaj   +1 more source

Semantic, Aspectual Category and Evidential Category of-guo

open access: yesEnglish Language Teaching and Linguistics Studies, 2020
 The semantics of -guo indicates a non-empty set of a type of eventuality in a certain time frame, while the properties of term inability, discontinuity and repeatability are only pragmatic implicatures. From the viewpoint of event structure, -guo is better considered as an imperfective marker than an experiential marker which asserting the activity ...
openaire   +2 more sources

Semantic Priming of Different Affective Categories.

open access: yesEmotion, 2004
The authors investigated affective semantic priming using a lexical decision task with 4 affective categories of related word pairs: neutral, happy, fearful, and sad. Results demonstrated a striking and reliable effect of affective category on semantic priming. Neutral and happy prime-targets yielded significant semantic priming.
Susan L. Rossell, Anna C. Nobre
openaire   +4 more sources

A category-theoretic semantics for unbounded indeterminacy [PDF]

open access: yes, 2006
In this paper we give a category-theoretic semantics for a simple imperative language featuring unbounded indeterminacy. This semantics satisfies the categorical analogues of continuity and has the meaning of while loops defined as co-limits of $\omega$-diagrams.
Panangaden, Prakash, Russell, James R.
openaire   +2 more sources

Semantic Modeling in Materials Science and Engineering With Platform MaterialDigital Core Ontology 3.0

open access: yesAdvanced Engineering Materials, EarlyView.
The community‐driven Platform MaterialDigital Core Ontology (PMDco) 3.0 is introduced as a Basic Formal Ontology‐aligned semantic backbone for the processing–structure–properties paradigm in Materials Science and Engineering. Modular engineering, automated releases, and validation workflows are highlighted and key semantic patterns for materials ...
Markus Schilling   +15 more
wiley   +1 more source

Leveraging Symbolic Artificial Intelligence and Fuzzy Logic for Materials Science: A Review of Methods, Challenges, and Applications to Scarce and Imperfect Experimental Data

open access: yesAdvanced Engineering Materials, EarlyView.
This article explores the transformative potential of symbolic artificial intelligence (AI) in the field of materials science, particularly in leveraging experimental data. The article presents several symbolic AI models and discusses their applications in materials science.
Ahmed Amrani   +7 more
wiley   +1 more source

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