Provenance in Data Science : From Data Models to Context-Aware Knowledge Graphs /

RDF-based knowledge graphs require additional formalisms to be fully context-aware, which is presented in this book. This book also provides a collection of provenance techniques and state-of-the-art metadata-enhanced, provenance-aware, knowledge graph-based representations across multiple applicati...

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Bibliographic Details
Corporate Author:	SpringerLink (Online service)
Other Authors:	Sikos, Leslie F. (Editor), Seneviratne, Oshani W. (Editor), McGuinness, Deborah L. (Editor)
Format:	eBook
Language:	English
Published:	Cham : Springer International Publishing : Imprint: Springer, 2021.
Edition:	1st ed. 2021.
Series:	Advanced Information and Knowledge Processing,
Subjects:	Knowledge representation (Information theory) . Data mining. Data structures (Computer science). Machine learning. Knowledge based Systems. Data Mining and Knowledge Discovery. Data Structures and Information Theory. Machine Learning. Electronic books.
Online Access:	Connect to the full text of this electronic book

Table of Contents:

The Evolution of Context-Aware RDF Knowledge Graphs
Data Provenance and Accountability on the Web
The Right (Provenance) Hammer for the Job: a Comparison of Data Provenance Instrumentation
Contextualized Knowledge Graphs in Communication Network and Cyber-Physical System Modeling
ProvCaRe: A Large-Scale Semantic Provenance Resource for Scientific Reproducibility
Graph-Based Natural Language Processing for the Pharmaceutical Industry.