Buy Knowledge Graphs Book by Steffen Staab - Bookswagon
Book 1
Book 2
Book 3
Book 1
Book 2
Book 3
Book 1
Book 2
Book 3
Book 1
Book 2
Book 3
Home > Computing and Information Technology > Computer programming / software engineering > Web programming > Knowledge Graphs: (Synthesis Lectures on Data, Semantics, and Knowledge)
Knowledge Graphs: (Synthesis Lectures on Data, Semantics, and Knowledge)

Knowledge Graphs: (Synthesis Lectures on Data, Semantics, and Knowledge)


     0     
5
4
3
2
1



International Edition


X
About the Book

This book provides a comprehensive and accessible introduction to knowledge graphs, which have recently garnered notable attention from both industry and academia. Knowledge graphs are founded on the principle of applying a graph-based abstraction to data, and are now broadly deployed in scenarios that require integrating and extracting value from multiple, diverse sources of data at large scale. The book defines knowledge graphs and provides a high-level overview of how they are used. It presents and contrasts popular graph models that are commonly used to represent data as graphs, and the languages by which they can be queried before describing how the resulting data graph can be enhanced with notions of schema, identity, and context. The book discusses how ontologies and rules can be used to encode knowledge as well as how inductive techniques—based on statistics, graph analytics, machine learning, etc.—can be used to encode and extract knowledge. It covers techniques for the creation, enrichment, assessment, and refinement of knowledge graphs and surveys recent open and enterprise knowledge graphs and the industries or applications within which they have been most widely adopted. The book closes by discussing the current limitations and future directions along which knowledge graphs are likely to evolve. This book is aimed at students, researchers, and practitioners who wish to learn more about knowledge graphs and how they facilitate extracting value from diverse data at large scale. To make the book accessible for newcomers, running examples and graphical notation are used throughout. Formal definitions and extensive references are also provided for those who opt to delve more deeply into specific topics.

Table of Contents:
Preface.- Acknowledgments.- Introduction.- Data Graphs.- Schema, Identity, and Context.- Deductive Knowledge.- Inductive Knowledge.- Creation and Enrichment.- Quality Assessment.- Refinement.- Publication.- Knowledge Graphs in Practice.- Conclusions.- Bibliography.- Authors' Biographies.

About the Author :
Aidan Hogan is an Associate Professor at the Department of Computer Science, Universidad de Chile, and an Associate Researcher in the Millennium Institute for Foundational Research on Data (IMFD). Eva Blomqvist is an Associate Professor at the Department of Computer and Information Science, Linköping University. Michael Cochez is an Assistant Professor in the Knowledge Representation and Reasoning Group at the Computer Science department of the Vrije Universiteit, Amsterdam. Claudia d’Amato is an Associate Professor at the Department of Computer Science, University of Bari, Italy and a member of the Knowledge Acquisition and Machine Learning Lab. Gerard de Melo is a Full Professor at the Hasso Plattner Institute for Digital Engineering and at the University of Potsdam, where he holds the Chair for Artificial Intelligence and Intelligent Systems. Claudio Gutierrez is Full Professor at the Department of Computer Science, Universidad de Chile, and a Senior Researcher in the Millennium Institute for Foundational Research on Data (IMFD). Sabrina Kirrane is an Assistant Professor at the Vienna University of Economics and Business Institute for Information Systems and New Media, where she is also a member of the Research Institute for Cryptoeconomics and the Sustainable Computing Lab. Jose Emilio Labra Gayo is an Associate Professor at the University of Oviedo, Spain. Roberto Navigli is a Full Professor of Computer Science at the Sapienza University of Rome, where he leads the Sapienza NLP Group. Sebastian Neumaier is a researcher in the Data Intelligence group at the St. Poelten University of Applied Sciences, Austria. Axel-Cyrille Ngonga Ngomo is a Full Professor for Data Science at Paderborn University. Axel Polleres heads the Institute for Data, Process and Knowledge Management as a Full Professor of Vienna University of Economics and Business (WU Wien). Sabbir M. Rashid is a Ph.D. candidate at Rensselaer Polytechnic Institute (RPI) working with Deborah L. McGuinness. Anisa Rula is an Assistant Professor in Computer Science at the Department of Information Engineering, University of Brescia. Lukas Schmelzeisen is a PhD candidate working with Steffen Staab in the Analytic Computing group at the University of Stuttgart, Germany. Juan Sequeda is the Principal Scientist at data.world, which he joined through the acquisition of Capsenta: a company he founded as a spin-off from his research. Steffen Staab holds a Cyber Valley endowed chair for Analytic Computing at the University of Stuttgart, Germany, and a chair for Web and Computer Science at the University of Southampton, UK. Antoine Zimmermann is an Associate Professor at Mines Saint-Étienne in France.


Best Sellers


Product Details
  • ISBN-13: 9783031007903
  • Publisher: Springer International Publishing AG
  • Publisher Imprint: Springer International Publishing AG
  • Height: 235 mm
  • No of Pages: 237
  • Returnable: Y
  • Width: 191 mm
  • ISBN-10: 3031007905
  • Publisher Date: 08 Nov 2021
  • Binding: Paperback
  • Language: English
  • Returnable: Y
  • Series Title: Synthesis Lectures on Data, Semantics, and Knowledge


Similar Products

Add Photo
Add Photo

Customer Reviews

REVIEWS      0     
Click Here To Be The First to Review this Product
Knowledge Graphs: (Synthesis Lectures on Data, Semantics, and Knowledge)
Springer International Publishing AG -
Knowledge Graphs: (Synthesis Lectures on Data, Semantics, and Knowledge)
Writing guidlines
We want to publish your review, so please:
  • keep your review on the product. Review's that defame author's character will be rejected.
  • Keep your review focused on the product.
  • Avoid writing about customer service. contact us instead if you have issue requiring immediate attention.
  • Refrain from mentioning competitors or the specific price you paid for the product.
  • Do not include any personally identifiable information, such as full names.

Knowledge Graphs: (Synthesis Lectures on Data, Semantics, and Knowledge)

Required fields are marked with *

Review Title*
Review
    Add Photo Add up to 6 photos
    Would you recommend this product to a friend?
    Tag this Book Read more
    Does your review contain spoilers?
    What type of reader best describes you?
    I agree to the terms & conditions
    You may receive emails regarding this submission. Any emails will include the ability to opt-out of future communications.

    CUSTOMER RATINGS AND REVIEWS AND QUESTIONS AND ANSWERS TERMS OF USE

    These Terms of Use govern your conduct associated with the Customer Ratings and Reviews and/or Questions and Answers service offered by Bookswagon (the "CRR Service").


    By submitting any content to Bookswagon, you guarantee that:
    • You are the sole author and owner of the intellectual property rights in the content;
    • All "moral rights" that you may have in such content have been voluntarily waived by you;
    • All content that you post is accurate;
    • You are at least 13 years old;
    • Use of the content you supply does not violate these Terms of Use and will not cause injury to any person or entity.
    You further agree that you may not submit any content:
    • That is known by you to be false, inaccurate or misleading;
    • That infringes any third party's copyright, patent, trademark, trade secret or other proprietary rights or rights of publicity or privacy;
    • That violates any law, statute, ordinance or regulation (including, but not limited to, those governing, consumer protection, unfair competition, anti-discrimination or false advertising);
    • That is, or may reasonably be considered to be, defamatory, libelous, hateful, racially or religiously biased or offensive, unlawfully threatening or unlawfully harassing to any individual, partnership or corporation;
    • For which you were compensated or granted any consideration by any unapproved third party;
    • That includes any information that references other websites, addresses, email addresses, contact information or phone numbers;
    • That contains any computer viruses, worms or other potentially damaging computer programs or files.
    You agree to indemnify and hold Bookswagon (and its officers, directors, agents, subsidiaries, joint ventures, employees and third-party service providers, including but not limited to Bazaarvoice, Inc.), harmless from all claims, demands, and damages (actual and consequential) of every kind and nature, known and unknown including reasonable attorneys' fees, arising out of a breach of your representations and warranties set forth above, or your violation of any law or the rights of a third party.


    For any content that you submit, you grant Bookswagon a perpetual, irrevocable, royalty-free, transferable right and license to use, copy, modify, delete in its entirety, adapt, publish, translate, create derivative works from and/or sell, transfer, and/or distribute such content and/or incorporate such content into any form, medium or technology throughout the world without compensation to you. Additionally,  Bookswagon may transfer or share any personal information that you submit with its third-party service providers, including but not limited to Bazaarvoice, Inc. in accordance with  Privacy Policy


    All content that you submit may be used at Bookswagon's sole discretion. Bookswagon reserves the right to change, condense, withhold publication, remove or delete any content on Bookswagon's website that Bookswagon deems, in its sole discretion, to violate the content guidelines or any other provision of these Terms of Use.  Bookswagon does not guarantee that you will have any recourse through Bookswagon to edit or delete any content you have submitted. Ratings and written comments are generally posted within two to four business days. However, Bookswagon reserves the right to remove or to refuse to post any submission to the extent authorized by law. You acknowledge that you, not Bookswagon, are responsible for the contents of your submission. None of the content that you submit shall be subject to any obligation of confidence on the part of Bookswagon, its agents, subsidiaries, affiliates, partners or third party service providers (including but not limited to Bazaarvoice, Inc.)and their respective directors, officers and employees.

    Accept

    Fresh on the Shelf


    Inspired by your browsing history


    Your review has been submitted!

    You've already reviewed this product!