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28 lines
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<head>
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<title>Copyright</title>
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<meta content="text/html; charset=utf-8" http-equiv="default-style"/>
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<link href="../styles/stylesheet.css" rel="stylesheet" type="text/css"/>
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<meta content="urn:uuid:531250ec-8629-4bbe-b4be-eb1eb0e84538" name="Adept.expected.resource"/>
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<body epub:type="frontmatter">
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<p class="SP"> </p>
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<section epub:type="copyright-page">
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<p class="CRT"><span aria-label="iv" id="pg_iv" role="doc-pagebreak"/>© 2021 Massachusetts Institute of Technology</p>
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<p class="CRT">This work is subject to a Creative Commons CC-BY-NC-ND license. Subject to such license, all rights are reserved.</p>
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<figure class="IMG-C"><img alt="" src="../images/logo.png" width="100"/>
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</figure>
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<p class="CRT">The MIT Press would like to thank the anonymous peer reviewers who provided comments on drafts of this book. The generous work of academic experts is essential for establishing the authority and quality of our publications. We acknowledge with gratitude the contributions of these otherwise uncredited readers.</p>
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<p class="CRTB">Library of Congress Cataloging-in-Publication Data is available.</p>
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<p class="CRTH">Names: Kejriwal, Mayank, author. | Knoblock, Craig A., 1962- author. | Szekely, Pedro, author.</p>
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<p class="CRTH">Title: Knowledge graphs: fundamentals, techniques, and applications / Mayank Kejriwal, Craig Knoblock, and Pedro Szekely.</p>
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<p class="CRTH">Description: Cambridge, Massachusetts: The MIT Press, [2021] | Series: Adaptive computation and machine learning series | Includes bibliographical references and index.</p>
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<p class="CRTH">Identifiers: LCCN 2020028169 | ISBN 9780262045094 (hardcover)</p>
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<p class="CRTH">Subjects: LCSH: Information visualization.</p>
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<p class="CRTH">Classification: LCC QA76.9.I52 K45 2021 | DDC 001.4/226–dc23</p>
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<p class="CRTH">LC record available at <a href="https://lccn.loc.gov/2020028169">https://lccn.loc.gov/2020028169</a></p>
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</section>
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