Linguistic linked data: representation, generation and applications
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| Main Authors: | , , , |
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| Format: | Book |
| Language: | English |
| Published: |
Cham, Switzerland
Springer
[2020]
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| Subjects: | |
| Online Access: | Inhaltsverzeichnis Klappentext |
| Physical Description: | xvi, 286 Seiten Illustrationen |
| ISBN: | 9783030302245 |
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Record in the Search Index
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| adam_text | Contents Part I 1 Preliminaries Introduction....................................................................................................... 1.1 FAIR Principles ................................................................................. 1.2 Linked Data as an Opportunity to Realize the FAIR Principles.... References...................................................................................................... 2 Preliminaries...................................................................................................... 2.1 2.2 2.3 Introduction......................................................................................... Resource Description Framework..................................................... Serializing RDF.................................................................................. 2.3.1 The N-Triples Language..................................................... 2.3.2 Turtle...................................................................................... 2.3.3 RDF/XML............................................................................ 2.3.4 RDFa..................................................................................... 2.3.5 JSON-LD.............................................................................. 2.4 RDF Semantics, RDFS and OWL..................................................... 2.4.1 RDF Semantics..................................................................... 2.4.2 RDF Schema......................................................................... 2.4.3 Web Ontology Language
(OWL)....................................... 2.5 The SPARQL Query Language......................................................... 2.5.1 Publishing Data on the Web................................................ 2.6 Summary and Further Reading......................................................... References...................................................................................................... 3 Linguistic Linked Open Data Cloud........................................................... 3.1 3.2 Background and Motivation............................................................. 3.1.1 Linked Data........................................................................... 3.1.2 Linked Open Data................................................................ Linguistic Linked Open Data............................................................ 3.2.1 The LLOD Cloud.................................................................. 3.2.2 Infrastructure and Metadata................................................. 3 4 4 8 11 11 12 14 14 15 16 16 16 19 19 21 22 24 26 27 27 29 29 30 31 32 33 36
x Contents 3.3 LLOD Community......................................................................... 3.3.1 Summary and Further Reading ....................................... References................................................................................................ Part II 4 Modelling Modelling Lexical Resources as Linked Data......................................... 4.1 Introduction.................................................................................... 4.2 The Core Model............................................................................. 4.3 Syntax and Semantics..................................................................... 4.4 Decomposition............................................................................... 4.5 Variation and Translation............................................................... 4.6 Metadata......................................................................................... 4.7 Applications................................................................................... 4.8 Summary and Further Reading....................................................... References................................................................................................ 5 Representing Annotated Texts as RDF...................................................... 5.1 Introduction..................................................................... 5.1.1 Tab-Separated Values: CoNLL TSV................................ 5.1.2 Tree-Based Formats: TEI/XML....................................... 5.2 Annotating
Web Resources............................................................ 5.2.1 Web Annotation (Open Annotation)................................ 5.2.2 Annotating Named Entitieson the Web........................... 5.3 Annotating Textual Objects........................................................... 5.3.1 The NLP Interchange Format (NIF 2.0).......................... 5.3.2 Provenance and Annotation Metadata in NIF.................. 5.4 Summary and Further Reading..................................................... References................................................................................................ 6 38 40 40 45 45 46 48 53 54 55 56 57 58 61 61 61 64 66 67 69 73 75 82 83 85 89 Introduction.................................................................................... 89 Transforming Legacy Annotation Formats into RDF.................... 91 6.2.1 CoNLL-RDF: Shallow Transformation of CoNLL into RDF.......................................... 91 6.2.2 Querying and Manipulating CoNLL-RDF Annotations....................................................... 94 6.3 Top-Down Modelling: Generic Data Structures............................. 97 6.3.1 Linguistic Annotations in POWLA................................. 98 6.3.2 Complementing NIF with POWLA................................... 103 6.3.3 TransformingCoNLL-RDFto POWLA............................ Ill 6.4 Querying Annotated Corpora........................................................... 113 6.5 Summary and Further Reading........................................................ 118
References.................................................................................................. 120 Modelling Linguistic Annotations............................................................ 6.1 6.2
Contents 7 Modelling Metadata of Language Resources.......................................... Introduction..................................................................................... Models for General Metadata......................................................... 7.2.1 DC-Terms........................................................................ 7.2.2 DCAT.............................................................................. 7.3 Modelling Metadata of LRs with Meta-Share.owl ........................ 7.4 Summary and Further Reading....................................................... References................................................................................................ 7.1 7.2 8 Linguistic Categories................................................................................... Introduction..................................................................................... The Case of Language Identifiers ................................................. 8.2.1 ISO 639 Language Tags................................................... 8.2.2 IETF Language Tags....................................................... 8.2.3 URI-Based Language Codes........................................... 8.3 General Repositories of Linguistic ReferenceTerminology........... 8.3.1 Data Category Modelling and Standardization in ISOcat............................................................ 147 8.3.2 The General Ontology of Linguistic Description (GOLD)............................................................. 148 8.3.3 Transition to the
CLARIN Concept Registry and DatCatlnfo................................................... 149 8.4 Application-Specific Terminology Repositories............................. 8.4.1 Lexlnfo: Linguistic Categories for Lexical Resources.... 8.4.2 OLiA: Ontologies of Linguistic Annotation ................... 8.4.3 Limits of Axiomatization................................................ 8.5 Summary and Further Reading....................................................... References................................................................................................ 8.1 8.2 Part ПІ 9 123 123 125 126 127 130 134 135 137 137 140 140 142 144 147 150 150 151 155 157 158 Generation and Exploitation Converting Language Resources into Linked Data............................... 163 9.1 Introduction..................................................................................... 163 9.2 General Methodology for Generating and Publishing LLD........... 9.3 Specification................................................................................... 9.4 Modelling........................................................................................ 9.5 Generation...................................................................................... 9.6 Linking............................................................................................ 9.7 Publication...................................................................................... 9.8 Exploitation..................................................................................... 9.9 Guidelines for
Particular Types of Language Resources................ 9.10 Inclusion into the LLOD Cloud ..................................................... 9.11 Summary and Further Reading....................................................... References................................................................................................. 164 164 169 172 175 175 176 177 178 179 180
xii Contents 181 Link Representation........................................................................... 181 10.1.1 Patterns for Creating Cross-Lingual Links at the Conceptual Level....................................... 184 10.1.2 Cross-Lingual Links at the Linguistic Level.................... 185 10.2 Link Discovery................................................................................... 186 10.2.1 Problem Statement ............................................................. 187 10.2.2 Classification of Matching Techniques............................. 188 10.2.3 Terminological Similarity................................................... 188 10.2.4 Structural Similarity............................................................ 190 10.2.5 Cross-Lingual Linking....................................................... 192 10.3 Linking Frameworks.......................................................................... 193 10.4 Summary and Further Reading......................................................... 194 References....................................................................................................... 194 10 Link Representation and Discovery............................................................ 10.1 11 Linked Data-Based NLP Workflows........................................................... 11.1 11.2 Introduction......................................................................................... Implementing NLP Workflows Using NIF....................................... 11.2.1 Implementing a NIF-Compliant POS Tagging
Service ... 11.2.2 Implementing a NIF-Based Dependency Parsing WebService........................................................... 201 11.2.3 Creating NLP Workflows with NIF-Based Services........ 11.3 Composing NLP Workflows withTeanga......................................... 11.3.1 Design and Implementation............................................... 11.3.2 Services in Teanga............................................................... 11.3.3 Building Workflows............................................................ 11.4 LAPPS Grid....................................................................................... 11.5 Summary and Further Reading........................................................ References....................................................................................................... Part IV 12 197 197 199 200 204 204 205 205 206 208 209 210 Use Cases Applying Linked Data Principles to Linking Multilingual Wordnets ................................................................................................... 215 Princeton WordNet............................................................................. 12.1.1 WordNet RDF .................................................................... 12.2 Global WordNet Interlingual Index ................................................. 12.2.1 The Global WordNet Grid.................................................. 12.2.2 Collaborative Interlingual Index....................................... 12.2.3 ILI
Format........................................................................... 12.2.4 Linking WordNet with Wikipedia.................................... 12.3 Summary and Further Reading......................................................... References....................................................................................................... 12.1 215 217 217 218 219 220 223 224 224
Contents xiii 13 Linguistic Linked Data in Digital Humanities........................................ 229 13.1 Introduction.................................................................................... 13.2 Data Models and Vocabularies in DH............................................ 13.2.1 The Text Encoding Initiative............................................ 13.2.2 Simple Knowledge Organization System (SKOS)......... 13.2.3 CIDOC Vocabulary for Describing Object Metadata..... 13.2.4 The Canonical Text Service Protocol (CTS).................. 13.3 Case Studies and Applications of LLOD in Digital Humanities... 13.3.1 Applying LLOD Methods in Prosopography................. 13.3.2 Using LLOD Techniques to Reference Geographical Information............................................... 13.3.3 Constructing a Database and Dictionary of Maya Hieroglyphic Writing....................................................... 13.3.4 Facilitating the Study of Ancient Wisdom Literature...... 13.3.5 Encoding Chauliac’s Grande Chirurgie with TEI andRDFa........................................................................ 13.4 Summary and Further Reading..................................................... References................................................................................................ 229 231 231 234 236 238 241 242 244 247 250 253 256 258 14 Discovery of Language Resources............................................................ 263 14.1 Introduction.................................................................................... 14.2 Data
Collection............................................................................... 14.2.1 META-SHARE................................................................ 14.2.2 CLARIN.......................................................................... 14.2.3 LREMap.......................................................................... 14.2.4 Linked Open Data Cloud/Datahub.io.............................. 14.2.5 Other Repositories........................................................... 14.2.6 State of Play with Respect to Finding Language Resources on the Web..................................................... 14.3 Modelling....................................................................................... 14.4 Harmonization................................................................................ 14.4.1 Availability....................................................................... 14.4.2 Rights .............................................................................. 14.4.3 Usage............................................................................... 14.4.4 Language......................................................................... 14.4.5 Type................................................................................. 14.4.6 Duplicate Detection ........................................................ 14.4.7 Data Completeness and Quality....................................... 14.5 Publishing Linghub with Yuzu...................................................... 14.6
Summary......................................................................................... References................................................................................................ 263 265 266 266 267 267 268 269 269 270 271 271 272 273 273 274 275 276 277 278
xiv Contents Part V Conclusions 15 Conclusion.............................................................................................. 283 A Selected Prefix Declarations................................................................. 285
This is the first monograph on the emerging area of linguistic linked data. Presenting a combination of background information on linguistic linked data and concrete implementation advice, it introduces and discusses the main benefits of applying linked data (LD) principles to the representation and publication of linguistic resources, arguing that LD does not look at a single resource in isolation but seeks to create a large network of resources that can be used together and uniformly, and so making more of the single resource. The book describes how the LD principles can be applied to modelling language resources. The first part provides the foundation for understanding the remainder of the book, introducing the data models, ontology and query languages used as the basis of the Semantic Web and LD and offering a more detailed overview of the Linguistic Linked Data Cloud. The second part of the book focuses on modelling language resources using LD principles, describing how to model lexical resources using Ontolex-lemon, the lexicon model for ontologies, and how to annotate and address elements of text represented in RDF. It also demonstrates how to model annotations, and how to capture the metadata of language resources. Further, it includes a chapter on representing linguistic categories. In the third part of the book, the authors describe how language resources can be transformed into LD and how links can be inferred and added to the data to increase connectivity and linking between different datasets. They also discuss using LD resources for natural language
processing. The last part describes concrete applications of the technologies: representing and linking multilingual wordnets, applications in digital humanities and the discovery of language resources. Given its scope, the book is relevant for researchers and graduate students interested in topics at the crossroads of natural language processing / computational linguistics and the Semantic Web / linked data. It appeals to Semantic Web experts who are not proficient in applying the Semantic Web and LD principles to linguistic data, as well as to computational linguists who are used to working with lexical and linguistic resources wanting to learn about a new paradigm for modelling, publishing and exploiting linguistic resources.
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| spelling | Cimiano, Philipp 1977- Verfasser (DE-588)140708316 aut Linguistic linked data representation, generation and applications Philipp Cimiano, Christian Chiarcos, John P. McCrae, Jorge Gracia Cham, Switzerland Springer [2020] xvi, 286 Seiten Illustrationen txt rdacontent n rdamedia nc rdacarrier Knowledge based Systems Natural Language Processing (NLP) Computer Appl. in Arts and Humanities Knowledge representation (Information theory) Natural language processing (Computer science) Application software Anwendungssoftware (DE-588)4120906-0 gnd rswk-swf Wissensbasiertes System (DE-588)4197554-6 gnd rswk-swf Wissensbasiertes System (DE-588)4197554-6 s Anwendungssoftware (DE-588)4120906-0 s DE-604 Chiarcos, Christian Verfasser (DE-588)1206204850 aut McCrae, John P. 1984- Verfasser (DE-588)1221317229 aut Gracia, Jorge Verfasser (DE-588)1221318497 aut Erscheint auch als Online-Ausgabe 978-3-030-30225-2 Digitalisierung UB Augsburg - ADAM Catalogue Enrichment application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=031824280&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis Digitalisierung UB Augsburg - ADAM Catalogue Enrichment application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=031824280&sequence=000003&line_number=0002&func_code=DB_RECORDS&service_type=MEDIA Klappentext |
| spellingShingle | Cimiano, Philipp 1977- Chiarcos, Christian McCrae, John P. 1984- Gracia, Jorge Linguistic linked data representation, generation and applications Knowledge based Systems Natural Language Processing (NLP) Computer Appl. in Arts and Humanities Knowledge representation (Information theory) Natural language processing (Computer science) Application software Anwendungssoftware (DE-588)4120906-0 gnd Wissensbasiertes System (DE-588)4197554-6 gnd |
| subject_GND | (DE-588)4120906-0 (DE-588)4197554-6 |
| title | Linguistic linked data representation, generation and applications |
| title_auth | Linguistic linked data representation, generation and applications |
| title_exact_search | Linguistic linked data representation, generation and applications |
| title_full | Linguistic linked data representation, generation and applications Philipp Cimiano, Christian Chiarcos, John P. McCrae, Jorge Gracia |
| title_fullStr | Linguistic linked data representation, generation and applications Philipp Cimiano, Christian Chiarcos, John P. McCrae, Jorge Gracia |
| title_full_unstemmed | Linguistic linked data representation, generation and applications Philipp Cimiano, Christian Chiarcos, John P. McCrae, Jorge Gracia |
| title_short | Linguistic linked data |
| title_sort | linguistic linked data representation generation and applications |
| title_sub | representation, generation and applications |
| topic | Knowledge based Systems Natural Language Processing (NLP) Computer Appl. in Arts and Humanities Knowledge representation (Information theory) Natural language processing (Computer science) Application software Anwendungssoftware (DE-588)4120906-0 gnd Wissensbasiertes System (DE-588)4197554-6 gnd |
| topic_facet | Knowledge based Systems Natural Language Processing (NLP) Computer Appl. in Arts and Humanities Knowledge representation (Information theory) Natural language processing (Computer science) Application software Anwendungssoftware Wissensbasiertes System |
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