| 000 -LEADER |
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| fixed length control field |
08272nam a2200769 i 4500 |
| 001 - CONTROL NUMBER |
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| control field |
7791096 |
| 003 - CONTROL NUMBER IDENTIFIER |
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| control field |
IEEE |
| 005 - DATE AND TIME OF LATEST TRANSACTION |
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| control field |
20200413152923.0 |
| 006 - FIXED-LENGTH DATA ELEMENTS--ADDITIONAL MATERIAL CHARACTERISTICS |
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m eo d |
| 007 - PHYSICAL DESCRIPTION FIXED FIELD--GENERAL INFORMATION |
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cr cn |||m|||a |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
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| fixed length control field |
170125s2017 caua foab 000 0 eng d |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
|---|
| International Standard Book Number |
9781627056328 |
| Qualifying information |
ebook |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
|---|
| Canceled/invalid ISBN |
9781627059091 |
| Qualifying information |
print |
| 024 7# - OTHER STANDARD IDENTIFIER |
|---|
| Standard number or code |
10.2200/S00741ED1V01Y201611WBE015 |
| Source of number or code |
doi |
| 035 ## - SYSTEM CONTROL NUMBER |
|---|
| System control number |
(CaBNVSL)swl00407066 |
| 035 ## - SYSTEM CONTROL NUMBER |
|---|
| System control number |
(OCoLC)970006538 |
| 040 ## - CATALOGING SOURCE |
|---|
| Original cataloging agency |
CaBNVSL |
| Language of cataloging |
eng |
| Description conventions |
rda |
| Transcribing agency |
CaBNVSL |
| Modifying agency |
CaBNVSL |
| 050 #4 - LIBRARY OF CONGRESS CALL NUMBER |
|---|
| Classification number |
QA76.9.N38 |
| Item number |
M295 2017 |
| 082 04 - DEWEY DECIMAL CLASSIFICATION NUMBER |
|---|
| Classification number |
006.35 |
| Edition number |
23 |
| 100 1# - MAIN ENTRY--PERSONAL NAME |
|---|
| Personal name |
Maynard, Diana, |
| Relator term |
author. |
| 245 10 - TITLE STATEMENT |
|---|
| Title |
Natural language processing for the semantic web / |
| Statement of responsibility, etc. |
Diana Maynard, Kalina Bontcheva, Isabelle Augenstein. |
| 264 #1 - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE |
|---|
| Place of production, publication, distribution, manufacture |
[San Rafael, California] : |
| Name of producer, publisher, distributor, manufacturer |
Morgan & Claypool, |
| Date of production, publication, distribution, manufacture, or copyright notice |
2017. |
| 300 ## - PHYSICAL DESCRIPTION |
|---|
| Extent |
1 PDF (xiii, 180 pages) : |
| Other physical details |
illustrations. |
| 336 ## - CONTENT TYPE |
|---|
| Content type term |
text |
| Source |
rdacontent |
| 337 ## - MEDIA TYPE |
|---|
| Media type term |
electronic |
| Source |
isbdmedia |
| 338 ## - CARRIER TYPE |
|---|
| Carrier type term |
online resource |
| Source |
rdacarrier |
| 490 1# - SERIES STATEMENT |
|---|
| Series statement |
Synthesis lectures on the semantic web, |
| International Standard Serial Number |
2160-472X ; |
| Volume/sequential designation |
# 15 |
| 538 ## - SYSTEM DETAILS NOTE |
|---|
| System details note |
Mode of access: World Wide Web. |
| 538 ## - SYSTEM DETAILS NOTE |
|---|
| System details note |
System requirements: Adobe Acrobat Reader. |
| 500 ## - GENERAL NOTE |
|---|
| General note |
Part of: Synthesis digital library of engineering and computer science. |
| 504 ## - BIBLIOGRAPHY, ETC. NOTE |
|---|
| Bibliography, etc. note |
Includes bibliographical references (pages 141-177). |
| 505 0# - FORMATTED CONTENTS NOTE |
|---|
| Formatted contents note |
1. Introduction -- 1.1 Information extraction -- 1.2 Ambiguity -- 1.3 Performance -- 1.4 Structure of the book -- |
| 505 8# - FORMATTED CONTENTS NOTE |
|---|
| Formatted contents note |
2. Linguistic processing -- 2.1 Introduction -- 2.2 Approaches to linguistic processing -- 2.3 NLP pipelines -- 2.4 Tokenization -- 2.5 Sentence splitting -- 2.6 POS tagging -- 2.7 Morphological analysis and stemming -- 2.7.1 Stemming -- 2.8 Syntactic parsing -- 2.9 Chunking -- 2.10 Summary -- |
| 505 8# - FORMATTED CONTENTS NOTE |
|---|
| Formatted contents note |
3. Named entity recognition and classification -- 3.1 Introduction -- 3.2 Types of named entities -- 3.3 Named entity evaluations and corpora -- 3.4 Challenges in NERC -- 3.5 Related tasks -- 3.6 Approaches to NERC -- 3.6.1 Rule-based approaches to NERC -- 3.6.2 Supervised learning methods for NERC -- 3.7 Tools for NERC -- 3.8 NERC on social media -- 3.9 Performance -- 3.10 Summary -- |
| 505 8# - FORMATTED CONTENTS NOTE |
|---|
| Formatted contents note |
4. Relation extraction -- 4.1 Introduction -- 4.2 Relation extraction pipeline -- 4.3 Relationship between relation extraction and other IE tasks -- 4.4 The role of knowledge bases in relation extraction -- 4.5 Relation schemas -- 4.6 Relation extraction methods -- 4.6.1 Bootstrapping approaches -- 4.7 Rule-based approaches -- 4.8 Supervised approaches -- 4.9 Unsupervised approaches -- 4.10 Distant supervision approaches -- 4.10.1 Universal schemas -- 4.10.2 Hybrid approaches -- 4.11 Performance -- 4.12 Summary -- |
| 505 8# - FORMATTED CONTENTS NOTE |
|---|
| Formatted contents note |
5. Entity linking -- 5.1 Named entity linking and semantic linking -- 5.2 NEL datasets -- 5.3 LOD-based approaches -- 5.3.1 DBpedia spotlight -- 5.3.2 YODIE: a LOD-based entity disambiguation framework -- 5.3.3 Other key LOD-based approaches -- 5.4 Commercial entity linking services -- 5.5 NEL for social media content -- 5.6 Discussion -- |
| 505 8# - FORMATTED CONTENTS NOTE |
|---|
| Formatted contents note |
6. Automated ontology development -- 6.1 Introduction -- 6.2 Basic principles -- 6.3 Term extraction -- 6.3.1 Approaches using distributional knowledge -- 6.3.2 Approaches using contextual knowledge -- 6.4 Relation extraction -- 6.4.1 Clustering methods -- 6.4.2 Semantic relations -- 6.4.3 Lexico-syntactic patterns -- 6.4.4 Statistical techniques -- 6.5 Enriching ontologies -- 6.6 Ontology development tools -- 6.6.1 Text2Onto -- 6.6.2 SPRAT -- 6.6.3 FRED -- 6.6.4 Semi-automatic ontology creation -- 6.7 Summary -- |
| 505 8# - FORMATTED CONTENTS NOTE |
|---|
| Formatted contents note |
7. Sentiment analysis -- 7.1 Introduction -- 7.2 Issues in opinion mining -- 7.3 Opinion-mining subtasks -- 7.3.1 Polarity recognition -- 7.3.2 Opinion target detection -- 7.3.3 Opinion holder detection -- 7.3.4 Sentiment aggregation -- 7.3.5 Further linguistic subcomponents -- 7.4 Emotion detection -- 7.5 Methods for opinion mining -- 7.6 Opinion mining and ontologies -- 7.7 Opinion-mining tools -- 7.8 Summary -- |
| 505 8# - FORMATTED CONTENTS NOTE |
|---|
| Formatted contents note |
8. NLP for social media -- 8.1 Social media streams: characteristics, challenges, and opportunities -- 8.2 Ontologies for representing social media semantics -- 8.3 Semantic annotation of social media -- 8.3.1 Keyphrase extraction -- 8.3.2 Ontology-based entity recognition in social media -- 8.3.3 Event detection -- 8.3.4 Sentiment detection and opinion mining -- 8.3.5 Cross-media linking -- 8.3.6 Rumor analysis -- 8.3.7 Discussion -- |
| 505 8# - FORMATTED CONTENTS NOTE |
|---|
| Formatted contents note |
9. Applications -- 9.1 Semantic search -- 9.1.1 What is semantic search? -- 9.1.2 Why semantic full-text search? -- 9.1.3 Semantic search queries -- 9.1.4 Relevance scoring and retrieval -- 9.1.5 Semantic search full-text platforms -- 9.1.6 Ontology-based faceted search -- 9.1.7 Form-based semantic search interfaces -- 9.1.8 Semantic search over social media streams -- 9.2 Semantic-based user modeling -- 9.2.1 Constructing social semantic user models from semantic annotations -- 9.2.2 Discussion -- 9.3 Filtering and recommendations for social media streams -- 9.4 Browsing and visualization of social media streams -- 9.5 Discussion and future work -- |
| 505 8# - FORMATTED CONTENTS NOTE |
|---|
| Formatted contents note |
10. Conclusions -- 10.1 Summary -- 10.2 Future directions -- 10.2.1 Cross-media aggregation and multilinguality -- 10.2.2 Integration and background knowledge -- 10.2.3 Scalability and robustness -- 10.2.4 Evaluation, shared datasets, and crowdsourcing -- Bibliography -- Authors' biographies. |
| 506 1# - RESTRICTIONS ON ACCESS NOTE |
|---|
| Terms governing access |
Abstract freely available; full-text restricted to subscribers or individual document purchasers. |
| 510 0# - CITATION/REFERENCES NOTE |
|---|
| Name of source |
Compendex |
| 510 0# - CITATION/REFERENCES NOTE |
|---|
| Name of source |
INSPEC |
| 510 0# - CITATION/REFERENCES NOTE |
|---|
| Name of source |
Google scholar |
| 510 0# - CITATION/REFERENCES NOTE |
|---|
| Name of source |
Google book search |
| 520 3# - 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. |
| 530 ## - ADDITIONAL PHYSICAL FORM AVAILABLE NOTE |
|---|
| Additional physical form available note |
Also available in print. |
| 588 ## - SOURCE OF DESCRIPTION NOTE |
|---|
| Source of description note |
Title from PDF title page (viewed on January 24, 2017). |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name entry element |
Natural language processing (Computer science) |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name entry element |
Semantic Web |
| 653 ## - INDEX TERM--UNCONTROLLED |
|---|
| Uncontrolled term |
natural language processing |
| 653 ## - INDEX TERM--UNCONTROLLED |
|---|
| Uncontrolled term |
semantic web |
| 653 ## - INDEX TERM--UNCONTROLLED |
|---|
| Uncontrolled term |
semantic search |
| 653 ## - INDEX TERM--UNCONTROLLED |
|---|
| Uncontrolled term |
social media analysis |
| 653 ## - INDEX TERM--UNCONTROLLED |
|---|
| Uncontrolled term |
text mining |
| 653 ## - INDEX TERM--UNCONTROLLED |
|---|
| Uncontrolled term |
linked data |
| 653 ## - INDEX TERM--UNCONTROLLED |
|---|
| Uncontrolled term |
entity linking |
| 653 ## - INDEX TERM--UNCONTROLLED |
|---|
| Uncontrolled term |
information extraction |
| 653 ## - INDEX TERM--UNCONTROLLED |
|---|
| Uncontrolled term |
sentiment analysis |
| 700 1# - ADDED ENTRY--PERSONAL NAME |
|---|
| Personal name |
Bontcheva, Kalina, |
| Relator term |
author. |
| 700 1# - ADDED ENTRY--PERSONAL NAME |
|---|
| Personal name |
Augenstein, Isabelle, |
| Relator term |
author. |
| 776 08 - ADDITIONAL PHYSICAL FORM ENTRY |
|---|
| Relationship information |
Print version: |
| International Standard Book Number |
9781627059091 |
| 830 #0 - SERIES ADDED ENTRY--UNIFORM TITLE |
|---|
| Uniform title |
Synthesis digital library of engineering and computer science. |
| 830 #0 - SERIES ADDED ENTRY--UNIFORM TITLE |
|---|
| Uniform title |
Synthesis lectures on the semantic web ; |
| Volume/sequential designation |
# 15. |
| International Standard Serial Number |
2160-472X |
| 856 42 - ELECTRONIC LOCATION AND ACCESS |
|---|
| Materials specified |
Abstract with links to resource |
| Uniform Resource Identifier |
http://ieeexplore.ieee.org/servlet/opac?bknumber=7791096 |
