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008			220601s2018 sz | o |||| 0|eng d
020			_a9783031794827
024	7		_a10.1007/978-3-031-79482-7 _2doi
040			_aES-MaUEC _bspa _cES-MaUEC _dES-MaUEC
050		4	_aTK5105.88815 _b2018 EB
100	1		_aUschold, Michael _eautor _4aut _4http://id.loc.gov/vocabulary/relators/aut _9686514
245	1	0	_aDemystifying OWL for the Enterprise _cby Michael Uschold
250			_a1st edition 2018
264		1	_aCham _bSpringer International Publishing _c2018
300			_a1 recurso en línea (XXVI, 237 páginas)
336			_atexto _btxt _2rdacontent
337			_aelectrónico _bc _2rdamedia
338			_arecurso electrónico _bcr _2rdacarrier
347			_aarchivo de texto _bPDF
490	0		_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.
988			_aSynthesis Collection of Technology_2018
650		7	_2embne _9163805 _aWeb semántica
650		7	_2embne _9151535 _aEstructuras de datos (Informática)
650		7	_2embne _9147823 _aRecuperación de la información
776	0	8	_iPrinted edition: _z9783031794834
776	0	8	_iPrinted edition: _z9783031794810
776	0	8	_iPrinted edition: _z9783031794841
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-031-79482-7 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942			_2lcc _cLE
998			_b02/2023 _dz _eb _zSI