Natural Language Processing for the Semantic Web (Record no. 84724)
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fixed length control field | 04240nam a22005895i 4500 |
001 - CONTROL NUMBER | |
control field | 978-3-031-79474-2 |
005 - DATE AND TIME OF LATEST TRANSACTION | |
control field | 20240730163537.0 |
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
fixed length control field | 220601s2017 sz | s |||| 0|eng d |
020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
ISBN | 9783031794742 |
-- | 978-3-031-79474-2 |
082 04 - CLASSIFICATION NUMBER | |
Call Number | 510 |
100 1# - AUTHOR NAME | |
Author | Maynard, Diana. |
245 10 - TITLE STATEMENT | |
Title | Natural Language Processing for the Semantic Web |
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Edition statement | 1st ed. 2017. |
300 ## - PHYSICAL DESCRIPTION | |
Number of Pages | XIV, 182 p. |
490 1# - SERIES STATEMENT | |
Series statement | Synthesis Lectures on Data, Semantics, and Knowledge, |
505 0# - FORMATTED CONTENTS NOTE | |
Remark 2 | Acknowledgments -- Introduction -- Linguistic Processing -- Named Entity Recognition and Classification -- Relation Extraction -- Entity Linking -- Automated Ontology Development -- Sentiment Analysis -- NLP for Social Media -- Applications -- Conclusions -- Bibliography -- Authors' Biographies . |
520 ## - SUMMARY, ETC. | |
Summary, etc | This book introduces core natural language processing (NLP) technologies to non-experts in an easily accessible way, as a series of building blocks that lead the user to understand key technologies, why they are required, and how to integrate them into Semantic Web applications. Natural language processing and Semantic Web technologies have different, but complementary roles in data management. Combining these two technologies enables structured and unstructured data to merge seamlessly. Semantic Web technologies aim to convert unstructured data to meaningful representations, which benefit enormously from the use of NLP technologies, thereby enabling applications such as connecting text to Linked Open Data, connecting texts to each other, semantic searching, information visualization, and modeling of user behavior in online networks. The first half of this book describes the basic NLP processing tools: tokenization, part-of-speech tagging, and morphological analysis, in addition to the main tools required for an information extraction system (named entity recognition and relation extraction) which build on these components. The second half of the book explains how Semantic Web and NLP technologies can enhance each other, for example via semantic annotation, ontology linking, and population. These chapters also discuss sentiment analysis, a key component in making sense of textual data, and the difficulties of performing NLP on social media, as well as some proposed solutions. The book finishes by investigating some applications of these tools, focusing on semantic search and visualization, modeling user behavior, and an outlook on the future. |
700 1# - AUTHOR 2 | |
Author 2 | Bontcheva, Kalina. |
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Author 2 | Augenstein, Isabelle. |
856 40 - ELECTRONIC LOCATION AND ACCESS | |
Uniform Resource Identifier | https://doi.org/10.1007/978-3-031-79474-2 |
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Koha item type | eBooks |
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-- | Springer International Publishing : |
-- | Imprint: Springer, |
-- | 2017. |
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-- | online resource |
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-- | Mathematics. |
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
-- | Internet programming. |
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-- | Application software. |
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-- | Computer networks . |
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-- | Ontology. |
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-- | Mathematics. |
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-- | Web Development. |
650 24 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
-- | Computer and Information Systems Applications. |
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-- | Computer Communication Networks. |
650 24 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
-- | Ontology. |
830 #0 - SERIES ADDED ENTRY--UNIFORM TITLE | |
-- | 2691-2031 |
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