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Provenance in Data Science: From Data Models to Context-Aware Knowledge Graphs [electronic resource]
서명 / 저자 Provenance in Data Science [electronic resource] : From Data Models to Context-Aware Knowledge Graphs / edited by Leslie F. Sikos, Oshani W. Seneviratne, Deborah L. McGuinness.
저자명 Sikos, Leslie F. editor. (orcid)0000-0003-3368-2215 https://orcid.org/0000-0003-3368-2215 edt http://id.loc.gov/vocabulary/relators/edt ; Seneviratne, Oshani W. editor. (orcid)0000-0001-8518-917X https://orcid.org/0000-0001-8518-917X edt http://id.loc.gov/vocabulary/relators/edt ; McGuinness, Deborah L. editor. (orcid)0000-0001-7037-4567 https://orcid.org/0000-0001-7037-4567 edt http://id.loc.gov/vocabulary/relators/edt
단체명 SpringerLink (Online service)
발행사항 Cham : Springer International Publishing : Imprint: Springer, 2021.
Online Access https://doi.org/10.1007/978-3-030-67681-0 URL

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청구기호 QA76.76.E95
판사항 1st ed. 2021.
형태사항 XI, 110 p. 24 illus. online resource.
총서명 Advanced Information and Knowledge Processing, 2197-8441
언어 English
내용 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.
주제 Expert systems (Computer science).
Data mining.
Data structures (Computer science).
Information theory.
Machine learning.
Knowledge Based Systems.
Data Mining and Knowledge Discovery.
Data Structures and Information Theory.
Machine Learning.
보유판 및 특별호 저록 Springer Nature eBook
Printed edition: 9783030676803 Printed edition: 9783030676827 Printed edition: 9783030676834
ISBN 9783030676810
기타 표준번호 10.1007/978-3-030-67681-0
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