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Semantic Modeling for Data: Avoiding Pitfalls and Breaking Dilemmas
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Semantic Modeling for Data: Avoiding Pitfalls and Breaking Dilemmas

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Perhaps you're an information architect on a mission to make your organization's data more understandable and usable across applications. Or a knowledge engineer working to infuse domain knowledge into the next Alexa or Siri. Or a machine learning expert having difficulty obtaining the right data for your models. If you pursue these or similar tasks, this is your book.

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Paperback, 320 pages
Expected publication: November 10th 2020 by O'Reilly Media
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Panos Alexopoulos has been working since 2006 at the intersection of data, semantics, and software, contributing to building intelligent systems that deliver value to business and society. Born and raised in Athens, Greece, he currently works as Head of Ontology at Textkernel BV, in Amsterdam, Netherlands, leading a team of data professionals in developing and delivering a large cross-lingual Know ...more

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