Titlebook: Linguistic Linked Data; Representation, Gene Philipp Cimiano,Christian Chiarcos,Jorge Gracia Book 2020 Springer Nature Switzerland AG 2020

malign

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

hypnogram

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

grounded

Circumscribe

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.

挫敗

https://doi.org/10.1007/978-3-030-30225-2LOD - Linked Open Data; RDF - Resource Description Framework; Semantic Web Description Language; Ontolo

乳汁

rectum

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

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