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Provenance in Data Science: From Data Models to Context-Aware Knowledge Graphs, Sikos Leslie F., Seneviratne Oshani W., McGuinness Deborah L.


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Автор: Sikos Leslie F., Seneviratne Oshani W., McGuinness Deborah L.
Название:  Provenance in Data Science: From Data Models to Context-Aware Knowledge Graphs
ISBN: 9783030676834
Издательство: Springer
Классификация:




ISBN-10: 3030676838
Обложка/Формат: Paperback
Страницы: 124
Вес: 0.19 кг.
Дата издания: 11.05.2022
Серия: Advanced information and knowledge processing
Язык: English
Издание: 1st ed. 2021
Иллюстрации: 24 illustrations, black and white; xi, 110 p. 24 illus.
Размер: 23.39 x 15.60 x 0.66 cm
Читательская аудитория: Professional & vocational
Подзаголовок: From data models to context-aware knowledge graphs
Ссылка на Издательство: Link
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Поставляется из: Германии
Описание: 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 application domains, in order to demonstrate how to combine graph-based data models and provenance representations. This is important to make statements authoritative, verifiable, and reproducible, such as in biomedical, pharmaceutical, and cybersecurity applications, where the data source and generator can be just as important as the data itself. Capturing provenance is critical to ensure sound experimental results and rigorously designed research studies for patient and drug safety, pathology reports, and medical evidence generation. Similarly, provenance is needed for cyberthreat intelligence dashboards and attack maps that aggregate and/or fuse heterogeneous data from disparate data sources to differentiate between unimportant online events and dangerous cyberattacks, which is demonstrated in this book. Without provenance, data reliability and trustworthiness might be limited, causing data reuse, trust, reproducibility and accountability issues. This book primarily targets researchers who utilize knowledge graphs in their methods and approaches (this includes researchers from a variety of domains, such as cybersecurity, eHealth, data science, Semantic Web, etc.). This book collects core facts for the state of the art in provenance approaches and techniques, complemented by a critical review of existing approaches. New research directions are also provided that combine data science and knowledge graphs, for an increasingly important research topic.
Дополнительное описание: 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



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

Автор: Sikos Leslie F., Seneviratne Oshani W., McGuinness Deborah L.
Название: Provenance in Data Science: From Data Models to Context-Aware Knowledge Graphs
ISBN: 3030676803 ISBN-13(EAN): 9783030676803
Издательство: Springer
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Цена: 19564.00 р.
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Описание: 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.

Context-Aware Computing

Название: Context-Aware Computing
ISBN: 3110555689 ISBN-13(EAN): 9783110555684
Издательство: Walter de Gruyter
Цена: 20446.00 р.
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Описание: The book addresses the impact of ambient intelligence, particularly its user-centric context-awareness requirement on data management strategies and solutions. Techniques of conceptualizing, capturing, protecting, modelling, and querying context information, as well as context-aware data management application are discussed, making the book is an essential reference for computer scientists, information scientists and industrial engineers.

Context-Aware Systems and Applications, and Nature of Computation and Communication

Автор: Cong Vinh
Название: Context-Aware Systems and Applications, and Nature of Computation and Communication
ISBN: 331977817X ISBN-13(EAN): 9783319778174
Издательство: Springer
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Цена: 6986.00 р.
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Описание: This book constitutes the refereed post-conference proceedings of the International Conferences ICCASA and ICTCC 2017, held in November 2017 in Tam Ky City, Vietnam. The 23 revised full papers presented were carefully selected from 31 submissions.

Context-Aware Systems and Applications

Автор: Phan Cong Vinh; Le Tuan Anh; Nguyen Thi Thuy Loan;
Название: Context-Aware Systems and Applications
ISBN: 3319563564 ISBN-13(EAN): 9783319563565
Издательство: Springer
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Цена: 6988.00 р.
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Описание: This book constitutes the proceedings of the 5th International Conference on Context-Aware Systems and Applications, ICCASA 2016, held in Thu Dau Mot, Vietnam, in November 2016. The 22 revised full papers presented were carefully selected from 35 submissions and cover a wide spectrum in the area of Context-Aware-Systems (CAS).

Hardware-Aware Probabilistic Machine Learning Models

Автор: Galindez Olascoaga
Название: Hardware-Aware Probabilistic Machine Learning Models
ISBN: 3030740447 ISBN-13(EAN): 9783030740443
Издательство: Springer
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Цена: 8384.00 р.
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Описание: This book proposes probabilistic machine learning models that represent the hardware properties of the device hosting them.

Process-Aware Systems

Автор: Jian Cao; Xiao Liu; Kaijun Ren
Название: Process-Aware Systems
ISBN: 9811010188 ISBN-13(EAN): 9789811010187
Издательство: Springer
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Цена: 6988.00 р.
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Описание: This book constitutes the refereed proceedings of the Second International Workshop on Process-Aware Systems, PAS 2015, held in Hangzhou, China, in October 2015. The four revised full papers and two short papers, presented together with five demo papers were carefully reviewed and selected from 16 submissions.

A Reliability-Aware Fusion Concept Toward Robust Ego-Lane Estimation Incorporating Multiple Sources

Автор: Tuan Tran Nguyen
Название: A Reliability-Aware Fusion Concept Toward Robust Ego-Lane Estimation Incorporating Multiple Sources
ISBN: 3658269480 ISBN-13(EAN): 9783658269487
Издательство: Springer
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Цена: 5589.00 р.
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Описание: To tackle the challenges of the road estimation task, many works employ a fusion of multiple sources. By that, a commonly made assumption is that the sources always are equally reliable. However, this assumption is inappropriate since each source has certain advantages and drawbacks depending on the operational scenarios. Therefore, Tuan Tran Nguyen proposes a novel concept by incorporating reliabilities into the multi-source fusion so that the road estimation task can alternately select only the most reliable sources. Thereby, the author estimates the reliability for each source online using classifiers trained with the sensor measurements, the past performance and the context. Using real data recordings, he shows via experimental results that the presented reliability-aware fusion increases the availability of automated driving up to 7 percentage points compared to the average fusion.

About the Author:Tuan Tran Nguyen received the Master's degree in computer science and the Ph.D. degree from Otto-von-Guericke University Magdeburg, Germany, in 2013 and 2019, respectively. His research focuses on methods and architectures for reliability-based sensor fusion in intelligent vehicles.
Self Aware Security for Real Time Task Schedules in Reconfigurable Hardware Platforms

Автор: Guha Krishnendu, Saha Sangeet, Chakrabarti Amlan
Название: Self Aware Security for Real Time Task Schedules in Reconfigurable Hardware Platforms
ISBN: 3030797007 ISBN-13(EAN): 9783030797003
Издательство: Springer
Цена: 13974.00 р.
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Описание: This book focuses on how real-time task schedules for reconfigurable hardware-based embedded platforms may be affected due to the vulnerability of hardware and proposes self-aware security strategies to counteract the various threats. However, such real-time task schedules may be jeopardized due to hardware threats.

Self Aware Security for Real Time Task Schedules in Reconfigurable Hardware Platforms

Автор: Guha
Название: Self Aware Security for Real Time Task Schedules in Reconfigurable Hardware Platforms
ISBN: 3030797031 ISBN-13(EAN): 9783030797034
Издательство: Springer
Рейтинг:
Цена: 13974.00 р.
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Описание: This book focuses on how real-time task schedules for reconfigurable hardware-based embedded platforms may be affected due to the vulnerability of hardware and proposes self-aware security strategies to counteract the various threats. However, such real-time task schedules may be jeopardized due to hardware threats.

Privacy-Aware Knowledge Discovery

Название: Privacy-Aware Knowledge Discovery
ISBN: 1138374105 ISBN-13(EAN): 9781138374102
Издательство: Taylor&Francis
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Цена: 9492.00 р.
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Описание:

Covering research at the frontier of this field, Privacy-Aware Knowledge Discovery: Novel Applications and New Techniques presents state-of-the-art privacy-preserving data mining techniques for application domains, such as medicine and social networks, that face the increasing heterogeneity and complexity of new forms of data. Renowned authorities from prominent organizations not only cover well-established results--they also explore complex domains where privacy issues are generally clear and well defined, but the solutions are still preliminary and in continuous development.

Divided into seven parts, the book provides in-depth coverage of the most novel reference scenarios for privacy-preserving techniques. The first part gives general techniques that can be applied to various applications discussed in the rest of the book. The second section focuses on the sanitization of network traces and privacy in data stream mining. After the third part on privacy in spatio-temporal data mining and mobility data analysis, the book examines time series analysis in the fourth section, explaining how a perturbation method and a segment-based method can tackle privacy issues of time series data. The fifth section on biomedical data addresses genomic data as well as the problem of privacy-aware information sharing of health data. In the sixth section on web applications, the book deals with query log mining and web recommender systems. The final part on social networks analyzes privacy issues related to the management of social network data under different perspectives.

While several new results have recently occurred in the privacy, database, and data mining research communities, a uniform presentation of up-to-date techniques and applications is lacking. Filling this void, Privacy-Aware Knowledge Discovery presents novel algorithms, patterns, and models, along with a significant collection of open problems for future investigation.

Context-Aware Machine Learning and Mobile Data Analytics: Automated Rule-based Services with Intelligent Decision-Making

Автор: Sarker Iqbal, Colman Alan, Han Jun
Название: Context-Aware Machine Learning and Mobile Data Analytics: Automated Rule-based Services with Intelligent Decision-Making
ISBN: 3030885291 ISBN-13(EAN): 9783030885298
Издательство: Springer
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Цена: 19564.00 р.
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Описание: This book offers a clear understanding of the concept of context-aware machine learning including an automated rule-based framework within the broad area of data science and analytics, particularly, with the aim of data-driven intelligent decision making.

Availability, Reliability, and Security in Information Systems

Автор: Buccafurri
Название: Availability, Reliability, and Security in Information Systems
ISBN: 3319455060 ISBN-13(EAN): 9783319455068
Издательство: Springer
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Цена: 8944.00 р.
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Описание:

This volume constitutes the refereed proceedings of the IFIP WG 8.4, 8.9, TC 5 International Cross-Domain Conference on Availability, Reliability and Security in Information Systems, CD-ARES 2016, and the Workshop on Privacy Aware Machine Learning for Health Data Science, PAML 2016, co-located with the International Conference on Availability, Reliability and Security, ARES 2016, held in Salzburg, Austria, in September 2016. The 13 revised full papers and 4 short papers presented were carefully reviewed and selected from 23 submissions. They are organized in the following topical sections: Web and semantics; diagnosis, prediction and machine learning; security and privacy; visualization and risk management; and privacy aware machine learning for health data science.

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