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: | |
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Format: | Elektronisch E-Book |
Sprache: | English |
Veröffentlicht: |
[Cham]
Springer
[2022]
|
Ausgabe: | Reprint of original edition |
Schriftenreihe: | Synthesis lectures on the semantic web
#17 |
Schlagworte: | |
Online-Zugang: | DE-188 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. |
Beschreibung: | 1 Online-Resource (xxiv, 237 Seiten) Illustrationen |
ISBN: | 9783031794827 |
DOI: | 10.2200/S00824ED1V01Y201801WBE017 |
Internformat
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520 | 3 | |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. | |
650 | 4 | |a Ontologies (Information retrieval) | |
650 | 4 | |a Semantic Web | |
650 | 4 | |a Knowledge acquisition (Expert systems) | |
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Datensatz im Suchindex
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author | Uschold, Michael |
author_GND | (DE-588)1160726590 |
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dewey-full | 006.332 |
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dewey-ones | 006 - Special computer methods |
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dewey-search | 006.332 |
dewey-sort | 16.332 |
dewey-tens | 000 - Computer science, information, general works |
discipline | Informatik |
doi_str_mv | 10.2200/S00824ED1V01Y201801WBE017 |
edition | Reprint of original edition |
format | Electronic eBook |
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illustrated | Illustrated |
indexdate | 2025-03-17T11:01:58Z |
institution | BVB |
isbn | 9783031794827 |
language | English |
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spelling | Uschold, Michael Verfasser (DE-588)1160726590 aut Demystifying OWL for the enterprise Michael Uschold, Semantic Arts, Inc. Reprint of original edition [Cham] Springer [2022] © 2022 1 Online-Resource (xxiv, 237 Seiten) Illustrationen txt rdacontent c rdamedia cr rdacarrier Synthesis lectures on the semantic web #17 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. Ontologies (Information retrieval) Semantic Web Knowledge acquisition (Expert systems) Äquivalent Uschold, Michael Demystifying OWL for the enterprise 978-1-68173-128-5 Äquivalent Uschold, Michael Demystifying OWL for the enterprise 978-1-68173-340-1 Äquivalent Uschold, Michael Demystifying OWL for the enterprise 978-1-68173-127-8 Äquivalent Uschold, Michael Demystifying OWL for the enterprise 978-1-68173-283-1 Erscheint auch als Druck-Ausgabe 978-3-031-79481-0 Erscheint auch als Druck-Ausgabe, Hardcover 978-3-031-79483-4 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 |
volume_link | (DE-604)BV044754751 |
work_keys_str_mv | AT uscholdmichael demystifyingowlfortheenterprise |