�ber die Homogenit�t dotierter Zinkoxide

Gruber, Hans; Ulrich, Rani M.

doi:10.1007/bf00904689

Cited by 3 publications

(3 citation statements)

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“…a) Evolution of important SW standards provided by the W3C. [ 49 ] b) Chronology of ontology development with important milestones: The agreement on Gruber's definition, [ 18 ] a global successful applied example in the life sciences (GO [ 1 ] ), the appearance of upper‐level ontologies (SUMO, [ 61 ] DOLCE, [ 6 ] BFO, [ 7 ] PROV‐O [ 43 ] ), the creation of the QUDT, [ 47 ] a rich ontology for quantities, units, and dimensions, or the availability of ontology repositories (BioPortal, [ 62 ] OntoPortal [ 63 ] ). Advanced midlevel ontologies with worldwide scope have also been included (IOF, [ 64 ] CCO, [ 65 ] EMMO [ 45 ] ), as well as the conversion of BFO [ 7 ] not as a standard de facto but de iure as an ISO document.…”

Section: Mainmentioning

confidence: 99%

“…Gruber defines “An ontology is an explicit specification of a conceptualization”. [ 18 ] Ontology creation involves the description of knowledge through specified terms (formalized vocabularies) and their relationships to other terms, usually covering a specific domain represented by a community of users. The semantic web languages OWL (https://www.w3.org/OWL/) (Web Ontology Language) and its revised extension OWL2 (https://www.w3.org/TR/2012/REC-owl2-overview-20121211/) enable the creation and sharing of ontologies over the Web aiming at making Web content more accessible to machines.…”

Section: Mainmentioning

confidence: 99%

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The Intersection Between Semantic Web and Materials Science

Valdestilhas

Bayerlein

Torres

et al. 2023

Advanced Intelligent Systems

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The application and benefits of Semantic Web Technologies (SWT) for managing, sharing, and (re‐)using of research data are demonstrated in implementations in the field of Materials Science and Engineering (MSE). However, a compilation and classification are needed to fully recognize the scattered published works with its unique added values. Here, the primary use of SWT at the interface with MSE is identified using specifically created categories. This overview highlights promising opportunities for the application of SWT to MSE, such as enhancing the quality of experimental processes, enriching data with contextual information in knowledge graphs, or using ontologies to perform specific queries on semantically structured data. While interdisciplinary work between the two fields is still in its early stages, a great need is identified to facilitate access for nonexperts and develop and provide user‐friendly tools and workflows. The full potential of SWT can best be achieved in the long term by the broad acceptance and active participation of the MSE community. In perspective, these technological solutions will advance the field of MSE by making data FAIR. Data‐driven approaches will benefit from these data structures and their connections to catalyze knowledge generation in MSE.

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Section: Mainmentioning

confidence: 99%

Section: Mainmentioning

confidence: 99%

The Intersection Between Semantic Web and Materials Science

Valdestilhas

Bayerlein

Torres

et al. 2023

Advanced Intelligent Systems

View full text Add to dashboard Cite

show abstract

“…[ 9 ] An ontology of a specific domain can be defined as a set of relevant concepts (typically terms, their unique identifiers, and sometimes synonyms), relations (between concepts), and definitions (of the concepts). [ 10–12 ] An extended definition of “ontology” and other key terms mentioned throughout the article can be found in Table S2 in the Supporting Information. In the context of extracting information from text, ontologies serve to identify terms and the categories they belong too (much like a taxonomy or a vocabulary), but also to recognize hierarchies, rules, and relations between concepts, as well text understanding.…”

Section: Introductionmentioning

confidence: 99%

The Devices, Experimental Scaffolds, and Biomaterials Ontology (DEB): A Tool for Mapping, Annotation, and Analysis of Biomaterials Data

Hakimi

Gelpi

Krallinger

et al. 2020

Adv Funct Materials

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The size and complexity of the biomaterials literature makes systematic data analysis an excruciating manual task. A practical solution is creating databases and information resources. Implant design and biomaterials research can greatly benefit from an open database for systematic data retrieval. Ontologies are pivotal to knowledge base creation, serving to represent and organize domain knowledge. To name but two examples, GO, the gene ontology, and CheBI, Chemical Entities of Biological Interest ontology and their associated databases are central resources to their respective research communities. The creation of the devices, experimental scaffolds, and biomaterials ontology (DEB), an open resource for organizing information about biomaterials, their design, manufacture, and biological testing, is described. It is developed using text analysis for identifying ontology terms from a biomaterials gold standard corpus, systematically curated to represent the domain's lexicon. Topics covered are validated by members of the biomaterials research community. The ontology may be used for searching terms, performing annotations for machine learning applications, standardized meta-data indexing, and other cross-disciplinary data exploitation. The input of the biomaterials community to this effort to create data-driven open-access research tools is encouraged and welcomed.

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Electron Localization and Oxygen Transfer Reactions on Zinc Oxide

Roussel¹,

Teichner

1972

Catalysis Reviews

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�ber die Homogenit�t dotierter Zinkoxide

Cited by 3 publications

References 0 publications

The Intersection Between Semantic Web and Materials Science

The Intersection Between Semantic Web and Materials Science

The Devices, Experimental Scaffolds, and Biomaterials Ontology (DEB): A Tool for Mapping, Annotation, and Analysis of Biomaterials Data

Electron Localization and Oxygen Transfer Reactions on Zinc Oxide

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