Web Data APIs for Knowledge Graphs - Easing Access to Semantic Data for Application Developers (Paperback)

This book describes a set of methods, architectures, and tools to extend the data pipeline at the disposal of developers when they need to publish and consume data from Knowledge Graphs (graph-structured knowledge bases that describe the entities and relations within a domain in a semantically meaningful way) using SPARQL, Web APIs, and JSON. To do so, it focuses on the paradigmatic cases of two middleware software packages, grlc and SPARQL Transformer, which automatically build and run SPARQL-based REST APIs and allow the specification of JSON schema results, respectively. The authors highlight the underlying principles behind these technologies-query management, declarative languages, new levels of indirection, abstraction layers, and separation of concerns-, explain their practical usage, and describe their penetration in research projects and industry. The book, therefore, serves a double purpose: to provide a sound and technical description of tools and methods at the disposal of publishers and developers to quickly deploy and consume Web Data APIs on top of Knowledge Graphs; and to propose an extensible and heterogeneous Knowledge Graph access infrastructure that accommodates a growing ecosystem of querying paradigms.

General

Imprint:	Springer International Publishing AG
Country of origin:	Switzerland
Series:	Synthesis Lectures on Data, Semantics, and Knowledge
Release date:	September 2021
First published:	2021
Authors:	Albert Merono-Penuela • Pasquale Lisena • Carlos Martinez-Ortiz
Dimensions:	235 x 191mm (L x W)
Format:	Paperback
Pages:	92
ISBN-13:	978-3-03-100789-7
Languages:	English
Subtitles:	English
Categories:	Books > Computing & IT > Computer programming > General Books > Humanities > Philosophy > Topics in philosophy > Metaphysics & ontology Books > Computing & IT > Internet > Internet languages > General Books > Philosophy > Topics in philosophy > Metaphysics & ontology Promotions
LSN:	3-03-100789-1
Barcode:	9783031007897

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