Results 51 to 60 of about 1,617,822 (298)

Folksonomies, the semantic web, and movie recommendation [PDF]

open access: yes, 2007
While the Semantic Web has evolved to support the meaningful exchange ofheterogeneous data through shared and controlled conceptualisations, Web 2.0 has demonstrated that large-scale community tagging sites can enrich the semantic web with readily ...
C. CATTUTO   +13 more
core  

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

EXPRESS: EXPressing REstful Semantic Services [PDF]

open access: yes, 2009
We introduce a new approach for RESTful Semantic Web Services called EXPRESS. It aims to exploit the similarities between REST and the Semantic Web, such as realization of resources, self describing representations, and uniform interfaces.
Alowisheq, Areeb, Millard, David
core   +2 more sources

Personal – semantic characteristics of higher school students’ motivation

open access: yesSocial Welfare: Interdisciplinary Approach, 2012
The article deals with the problem of motivation of studying and professional activities at the university that is urgent for the student’s age and the modern psychology.
Liudmyla Serdiuk
doaj   +1 more source

Motivational and Semantic Profiles in Patients with Diabetes Mellitus

open access: yesCollection of Research Papers "Problems of Modern Psychology", 2021
The introduction shows the relevance of the problem of studying the features of the motivational and semantic sphere of patients with diabetes mellitus; this area plays a leading role in the formation of both «healthy» and «painful» patients’ attitudes.
Liudmyla Krupelnytska, Iryna Burovska
openaire   +3 more sources

Knowledge web: realising the semantic web... all the way to knowledge-enhanced multimedia documents [PDF]

open access: yes, 2004
The semantic web and semantic web services are major efforts in order to spread and to integrate knowledge technology to the whole web. The Knowledge Web network of excellence aims at supporting their developments at the best and largest European level ...
Lara, Rubén   +7 more
core  

OntoTag - A Linguistic and Ontological Annotation Model Suitable for the Semantic Web [PDF]

open access: yes, 2012
OntoTag - A Linguistic and Ontological Annotation Model Suitable for the Semantic Web 1. INTRODUCTION. LINGUISTIC TOOLS AND ANNOTATIONS: THEIR LIGHTS AND SHADOWS Computational Linguistics is already a consolidated research area.
Pareja-Lora, A.
core   +1 more source

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

Motivation – Mechanisms of the Mind and their Quest for Expression

open access: yes
This volume presents a first introduction to a thought-provoking Model of Motivation developed by Menno Mennes over a period of almost thirty years. The Model of Motivation in its approach presents a radical departure from everything that has appeared so
Mennes, Menno A.
core   +1 more source

Physics‐Grounded Materials Artificial Intelligence for Reliable Materials Discovery

open access: yesAdvanced Functional Materials, EarlyView.
Physics‐Grounded Materials AI (PhysMat AI) integrates physical priors, descriptors, constraints, verification, and data infrastructure into a unified full‐stack framework, enabling reliable, interpretable, and autonomous AI‐driven materials discovery.
Yuhang Wang   +3 more
wiley   +1 more source

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