國立虎尾科技大學 |

Linguistic Linked Data = Representation, Generation and Applications /

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Linguistic Linked Data/ by Philipp Cimiano, Christian Chiarcos, John P. McCrae, Jorge Gracia.
其他題名:	Representation, Generation and Applications /
作者:	Cimiano, Philipp.
其他作者:	Gracia, Jorge.
面頁冊數:	XVI, 286 p.online resource. :
Contained By:	Springer Nature eBook
標題:	Computer Appl. in Arts and Humanities. -
電子資源:	https://doi.org/10.1007/978-3-030-30225-2
ISBN:	9783030302252

Linguistic Linked Data = Representation, Generation and Applications /
Cimiano, Philipp.

Linguistic Linked DataRepresentation, Generation and Applications /[electronic resource] :by Philipp Cimiano, Christian Chiarcos, John P. McCrae, Jorge Gracia. - 1st ed. 2020. - XVI, 286 p.online resource.

1 Introduction -- 2 Preliminaries -- 3 Linguistic Linked Open Data Cloud -- 4 Modelling lexical resources as Linked Data -- 5 Representing annotated texts as RDF -- 6 Modelling linguistic annotations -- 7 Modelling metadata of language resources -- 8 Linguistic Categories -- 9 Converting language resources into Linked Data -- 10 Link Representation and Discovery -- 11 Linked Data-based NLP Workflows -- 12 Applying linked data principles to linking multilingualWordnets -- 13 Linguistic Linked Data in Digital Humanities -- 14 Discovery of language resources -- 15 Conclusion.

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.

ISBN: 9783030302252

Standard No.: 10.1007/978-3-030-30225-2doiSubjects--Topical Terms:

669937
Computer Appl. in Arts and Humanities.

LC Class. No.: Q387-387.5

Dewey Class. No.: 006.33

Linguistic Linked Data = Representation, Generation and Applications /
LDR:04288nam a22003975i 4500 001 1018490
003 DE-He213
005 20200630142053.0
007 cr nn 008mamaa
008 210318s2020 gw | s |||| 0|eng d
020 $a 9783030302252 $9 978-3-030-30225-2
024 7 $a 10.1007/978-3-030-30225-2 $2 doi
035 $a 978-3-030-30225-2
050 4 $a Q387-387.5
072 7 $a UYQE $2 bicssc
072 7 $a COM025000 $2 bisacsh
072 7 $a UYQE $2 thema
082 0 4 $a 006.33 $2 23
100 1 $a Cimiano, Philipp. $4 aut $4 http://id.loc.gov/vocabulary/relators/aut $3 665431
245 1 0 $a Linguistic Linked Data $h [electronic resource] : $b Representation, Generation and Applications / $c by Philipp Cimiano, Christian Chiarcos, John P. McCrae, Jorge Gracia.
250 $a 1st ed. 2020.
264 1 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2020.
300 $a XVI, 286 p. $b online resource.
336 $a text $b txt $2 rdacontent
337 $a computer $b c $2 rdamedia
338 $a online resource $b cr $2 rdacarrier
347 $a text file $b PDF $2 rda
505 0 $a 1 Introduction -- 2 Preliminaries -- 3 Linguistic Linked Open Data Cloud -- 4 Modelling lexical resources as Linked Data -- 5 Representing annotated texts as RDF -- 6 Modelling linguistic annotations -- 7 Modelling metadata of language resources -- 8 Linguistic Categories -- 9 Converting language resources into Linked Data -- 10 Link Representation and Discovery -- 11 Linked Data-based NLP Workflows -- 12 Applying linked data principles to linking multilingualWordnets -- 13 Linguistic Linked Data in Digital Humanities -- 14 Discovery of language resources -- 15 Conclusion.
520 $a 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.
650 2 4 $a Computer Appl. in Arts and Humanities. $3 669937
650 2 4 $a Natural Language Processing (NLP). $3 1254293
650 1 4 $a Knowledge based Systems. $3 1226866
650 0 $a Application software. $3 528147
650 0 $a Natural language processing (Computer science). $3 802180
650 0 $a Knowledge representation (Information theory) . $3 1281840
700 1 $a Gracia, Jorge. $4 aut $4 http://id.loc.gov/vocabulary/relators/aut $3 1226513
700 1 $a McCrae, John P. $e author. $1 https://orcid.org/0000-0002-7227-1331 $4 aut $4 http://id.loc.gov/vocabulary/relators/aut $3 1313498
700 1 $a Chiarcos, Christian. $4 aut $4 http://id.loc.gov/vocabulary/relators/aut $3 890588
710 2 $a SpringerLink (Online service) $3 593884
773 0 $t Springer Nature eBook
776 0 8 $i Printed edition: $z 9783030302245
776 0 8 $i Printed edition: $z 9783030302269
776 0 8 $i Printed edition: $z 9783030302276
856 4 0 $u https://doi.org/10.1007/978-3-030-30225-2
912 $a ZDB-2-SCS
912 $a ZDB-2-SXCS
950 $a Computer Science (SpringerNature-11645)
950 $a Computer Science (R0) (SpringerNature-43710)