malign
发表于 2025-3-23 12:11:53
and concrete implementation advice.Describes in detail how lThis is the first monograph on the emerging area of linguistic linked data. Presenting a combination of background information on linguistic linked data and concrete implementation advice, it introduces and discusses the main benefits of ap
Nonconformist
发表于 2025-3-23 14:51:26
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hypnogram
发表于 2025-3-23 21:55:18
Representing Annotated Texts as RDF markables (e.g. syntactic dependencies or semantic links). In this chapter we describe the principles for annotating text data using RDF-compliant formalisms. These principles provide the basis for making annotated corporate and text collections accessible from the LLOD ecosystem.
Nucleate
发表于 2025-3-23 23:11:17
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grounded
发表于 2025-3-24 04:51:36
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Circumscribe
发表于 2025-3-24 10:05:06
Modelling Linguistic AnnotationsThis chapter describes how linguistic annotations can be represented in RDF. Web Annotation and NIF provide the means to reference text segments on the web. Yet, representing linguistic annotations requires appropriate vocabularies. We discuss relevant vocabularies and illustrate how they can be applied to support annotation at different levels.
挫败
发表于 2025-3-24 13:07:22
https://doi.org/10.1007/978-3-030-30225-2LOD - Linked Open Data; RDF - Resource Description Framework; Semantic Web Description Language; Ontolo
乳汁
发表于 2025-3-24 18:19:17
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rectum
发表于 2025-3-24 20:37:48
ndamental equation of the material. As a result, governing differential equations of any system automatically include energy dissipation and degradation evolution. When UMT is used, there is no need for an empirical degradation evolution function obtained by curve fitting to fatigue test data. Howev
Ornament
发表于 2025-3-24 23:21:48
Philipp Cimiano,Christian Chiarcos,John P. McCrae,Jorge Graciastory, capabilities, and expected progression.Gives a step-by-step guide to creating your first AI.Presents challenges of varying difficulty, along with tips to reinforce concepts covered.Broad concepts within AI..Who Is This Book For.Tthose interested in machine learning using Unity ML-Agents. To g