Linguistic Linked Data: Representation, Generation and Applications

Linguistic Linked Data: Representation, Generation and Applications

Philipp Cimiano , Christian Chiarcos , John P. McCrae
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Jan 14, 2020 · 英语 · 精装书 (302 页数)
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书籍详情

格式 精装书
页数 302
语言 英语
已发布 Jan 14, 2020
出版商 Springer
ISBN-10 3030302245
ISBN-13 9783030302245

描述

In this groundbreaking exploration of linguistic linked data, the authors delve into an innovative field that merges linguistics with semantic web technologies. By examining the representation and generation of linguistic data, they offer insights into how language can be integrated into the linked data framework, enhancing accessibility and interoperability.

The text covers essential methodologies and applications that highlight the significance of linguistic linked data in both academic and practical settings. It discusses the underlying principles that govern the organization and retrieval of language resources, illustrating their impact on knowledge sharing and data integration.

Targeting researchers and practitioners alike, the work provides a comprehensive overview and fosters a deeper understanding of this emerging discipline. It paves the way for future advancements, encouraging collaboration and development in the interrelated domains of linguistics and data science.

类型

科学与技术

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