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

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發(fā)表于 2025-3-21 17:04:32 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書目名稱Linguistic Linked Data
副標(biāo)題Representation, Gene
編輯Philipp Cimiano,Christian Chiarcos,Jorge Gracia
視頻videohttp://file.papertrans.cn/587/586687/586687.mp4
概述Is the first monograph in the emerging area of linguistic linked data, presenting a mix of background information on linguistic linked data and concrete implementation advice.Describes in detail how l
圖書封面Titlebook: Linguistic Linked Data; Representation, Gene Philipp Cimiano,Christian Chiarcos,Jorge Gracia Book 2020 Springer Nature Switzerland AG 2020
描述This 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 applying linked data (LD) principles to the representation and publication of linguistic resources, arguing that LD does not look at a single resource in isolation but seeks to create a large network of resources that can be used together and uniformly, and so making more of the single resource..The book describes how the LD principles can be applied to modelling language resources. The first part provides the foundation for understanding the remainder of the book, introducing the data models, ontology and query languages used as the basis of the Semantic Web and LD and offering a more detailed overview of the Linguistic Linked Data Cloud. The second part of the book focuses on modelling language resources using LD principles, describing how to model lexical resources using Ontolex-lemon, the lexicon model for ontologies, and how to annotate and address elements of text represented in RDF. It also demonstrates how to model annotations, and how to c
出版日期Book 2020
關(guān)鍵詞LOD - Linked Open Data; RDF - Resource Description Framework; Semantic Web Description Language; Ontolo
版次1
doihttps://doi.org/10.1007/978-3-030-30225-2
isbn_softcover978-3-030-30227-6
isbn_ebook978-3-030-30225-2
copyrightSpringer Nature Switzerland AG 2020
The information of publication is updating

書目名稱Linguistic Linked Data影響因子(影響力)




書目名稱Linguistic Linked Data影響因子(影響力)學(xué)科排名




書目名稱Linguistic Linked Data網(wǎng)絡(luò)公開度




書目名稱Linguistic Linked Data網(wǎng)絡(luò)公開度學(xué)科排名




書目名稱Linguistic Linked Data被引頻次




書目名稱Linguistic Linked Data被引頻次學(xué)科排名




書目名稱Linguistic Linked Data年度引用




書目名稱Linguistic Linked Data年度引用學(xué)科排名




書目名稱Linguistic Linked Data讀者反饋




書目名稱Linguistic Linked Data讀者反饋學(xué)科排名




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Linked Data-Based NLP Workflowsed web services. We then describe Teanga, a recent platform for NLP integration that exploits Docker containers to implement NLP workflows. Finally, we also describe LAPPS Grid, an open-source platform for NLP tools that builds on JSON-LD.
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Modelling Metadata of Language Resources the most commonly used models to document general metadata on the Web of Data, most prominently DCAT and DC-Terms. Then, we will describe Meta-Share.owl, a OWL vocabulary specifically designed for describing metadata of LRs as linked data.
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Linguistic Categories between different annotation schemas by means of terminology repositories. Beyond that, we give special attention to language identifiers, as these can be provided in different ways in an RDF context, either by reference to a concepts in a terminology repository, or by means of language tags.
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