Demystifying OWL for the enterprise:
After 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...
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
San Rafael, California
Morgan & Claypool
[2018]
|
| Schriftenreihe: | Synthesis lectures on the semantic web
#17 |
| Schlagworte: | |
| Online-Zugang: | FUBA1 Volltext |
| Zusammenfassung: | After 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 |
| Beschreibung: | Part of: Synthesis digital library of engineering and computer science Title from PDF title page (viewed on May 29, 2018) |
| Beschreibung: | 1 Online-Resource (237 Seiten) Illustrationen, Diagramme |
| ISBN: | 9781681731285 9781681733401 |
| DOI: | 10.2200/S00824ED1V01Y201801WBE017 |
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| 520 | |a After 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. | ||
| 520 | |a 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. | ||
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| discipline | Informatik |
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| spelling | Uschold, Michael Verfasser (DE-588)1160726590 aut Demystifying OWL for the enterprise Michael Uschold, Semantic Arts, Inc. San Rafael, California Morgan & Claypool [2018] 1 Online-Resource (237 Seiten) Illustrationen, Diagramme txt rdacontent c rdamedia cr rdacarrier Synthesis lectures on the semantic web #17 Part of: Synthesis digital library of engineering and computer science Title from PDF title page (viewed on May 29, 2018) After 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 Ontologies (Information retrieval) Semantic Web Knowledge acquisition (Expert systems) Erscheint auch als Druck-Ausgabe 978-1-68173-127-8 Erscheint auch als Druck-Ausgabe, Hardcover 978-1-68173-283-1 Synthesis lectures on the semantic web #17 (DE-604)BV044754751 17 https://doi.org/10.2200/S00824ED1V01Y201801WBE017 Verlag URL des Erstveröffentlichers Volltext |
| spellingShingle | Uschold, Michael Demystifying OWL for the enterprise Synthesis lectures on the semantic web Ontologies (Information retrieval) Semantic Web Knowledge acquisition (Expert systems) |
| title | Demystifying OWL for the enterprise |
| title_auth | Demystifying OWL for the enterprise |
| title_exact_search | Demystifying OWL for the enterprise |
| title_full | Demystifying OWL for the enterprise Michael Uschold, Semantic Arts, Inc. |
| title_fullStr | Demystifying OWL for the enterprise Michael Uschold, Semantic Arts, Inc. |
| title_full_unstemmed | Demystifying OWL for the enterprise Michael Uschold, Semantic Arts, Inc. |
| title_short | Demystifying OWL for the enterprise |
| title_sort | demystifying owl for the enterprise |
| topic | Ontologies (Information retrieval) Semantic Web Knowledge acquisition (Expert systems) |
| topic_facet | Ontologies (Information retrieval) Semantic Web Knowledge acquisition (Expert systems) |
| url | https://doi.org/10.2200/S00824ED1V01Y201801WBE017 |
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