Titlebook: Metadata and Semantic Research; 15th International C Emmanouel Garoufallou,María-Antonia Ovalle-Perando Conference proceedings 2022 Springe

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書目名稱Metadata and Semantic Research影響因子(影響力)




書目名稱Metadata and Semantic Research影響因子(影響力)學(xué)科排名




書目名稱Metadata and Semantic Research網(wǎng)絡(luò)公開度




書目名稱Metadata and Semantic Research網(wǎng)絡(luò)公開度學(xué)科排名




書目名稱Metadata and Semantic Research被引頻次




書目名稱Metadata and Semantic Research被引頻次學(xué)科排名




書目名稱Metadata and Semantic Research年度引用




書目名稱Metadata and Semantic Research年度引用學(xué)科排名




書目名稱Metadata and Semantic Research讀者反饋




書目名稱Metadata and Semantic Research讀者反饋學(xué)科排名

打包

https://doi.org/10.1007/978-3-030-98876-0artificial intelligence; computer programming; computer systems; data handling; data integration; databas

BRIDE

978-3-030-98875-3Springer Nature Switzerland AG 2022

Madrigal

核心

CoVoMe: New Methodology for?Building Controlled VocabularyCoVoMe that is a methodology for building controlled vocabularies. This methodology covers almost all variants of that vocabularies, and it is designed to be close to the currently available languages for creating thesauri, subject headings, taxonomies, authority files, synonym rings, and glossaries.

puzzle

Generating Answerable Questions from?Ontologies for?Educational Exercisesgy, and sentences mostly driven by natural language generation techniques. The user evaluation showed that the second approach resulted in slightly better quality questions than the first, and the linguistic-driven templates far outperformed both on syntactic and semantic adequacy of the questions.

最有利

FAIR or FAIRer? An Integrated Quantitative FAIRness Assessment Grid for Semantic Resources and Ontoltology metadata model–to be used to make a semantic resource FAIR. Aligned and nourished with relevant FAIRness assessment state-of-the-art initiatives, our grid distributes 478 credits to the 15 FAIR principles in a manner which integrates existing generic approaches for digital objects (i.e., FDMM

憤慨一下

Offbeat

Managing and?Compiling Data Dependencies for?Semantic Applications Using Databus Client a flexible dependency configuration using SPARQL or Databus Collections. The current vertical-sliced implementation supports format conversion within as well as mapping between RDF triples, RDF quads, and CSV/TSV files. We developed an evaluation strategy for the format conversion and mapping funct

緩解