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020 _a9783031794827
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024 7 _a10.1007/978-3-031-79482-7
_2doi
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072 7 _aMAT000000
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082 0 4 _a510
_223
100 1 _aUschold, Michael.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_979137
245 1 0 _aDemystifying OWL for the Enterprise
_h[electronic resource] /
_cby Michael Uschold.
250 _a1st ed. 2018.
264 1 _aCham :
_bSpringer International Publishing :
_bImprint: Springer,
_c2018.
300 _aXXVI, 237 p.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
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347 _atext file
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490 1 _aSynthesis Lectures on Data, Semantics, and Knowledge,
_x2691-2031
505 0 _aForward by Dave McComb -- Foreword by Mark A. Musen -- Preface -- Acknowledgments -- Part 1: Introducing OWL -- Getting Started: What Do We Need to Say? -- How Do We Say it in OWL? -- Fundamentals: Meaning, Semantics, and Sets -- Part 2: Going into Depth: Properties and Classes -- Properties -- Classes -- Part 3: Using OWL in Practice -- More Examples -- OWL Limitations -- Go Forth and Ontologize -- Appendices -- Author Biography -- Index .
520 _aAfter a slow incubation period of nearly 15 years, a large and growing number of organizations now have one or more projects using the Semantic Web stack of technologies. The Web Ontology Language (OWL) is an essential ingredient in this stack, and the need for ontologists is increasing faster than the number and variety of available resources for learning OWL. This is especially true for the primary target audience for this book: modelers who want to build OWL ontologies for practical use in enterprise and government settings. The purpose of this book is to speed up the process of learning and mastering OWL. To that end, the focus is on the 30% of OWL that gets used 90% of the time. Others who may benefit from this book include technically oriented managers, semantic technology developers, undergraduate and post-graduate students, and finally, instructors looking for new ways to explain OWL. The book unfolds in a spiral manner, starting with the core ideas. Each subsequent cycle reinforces and expands on what has been learned in prior cycles and introduces new related ideas. Part 1 is a cook's tour of ontology and OWL, giving an informal overview of what things need to be said to build an ontology, followed by a detailed look at how to say them in OWL. This is illustrated using a healthcare example. Part 1 concludes with an explanation of some foundational ideas about meaning and semantics to prepare the reader for subsequent chapters. Part 2 goes into depth on properties and classes, which are the core of OWL. There are detailed descriptions of the main constructs that you are likely to need in every day modeling, including what inferences are sanctioned. Each is illustrated with real-world examples. Part 3 explains and illustrates how to put OWL into practice, using examples in healthcare, collateral, and financial transactions. A small ontology is described for each, along with some key inferences. Key limitations of OWL are identified, along with possible workarounds. The final chapter gives a variety of practical tips and guidelines to send the reader on their way.
650 0 _aMathematics.
_911584
650 0 _aInternet programming.
_935503
650 0 _aApplication software.
_979138
650 0 _aComputer networks .
_931572
650 0 _aOntology.
_95277
650 1 4 _aMathematics.
_911584
650 2 4 _aWeb Development.
_935505
650 2 4 _aComputer and Information Systems Applications.
_979139
650 2 4 _aComputer Communication Networks.
_979140
650 2 4 _aOntology.
_95277
710 2 _aSpringerLink (Online service)
_979141
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9783031794834
776 0 8 _iPrinted edition:
_z9783031794810
776 0 8 _iPrinted edition:
_z9783031794841
830 0 _aSynthesis Lectures on Data, Semantics, and Knowledge,
_x2691-2031
_979142
856 4 0 _uhttps://doi.org/10.1007/978-3-031-79482-7
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999 _c84725
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