FAIR Knowledge Graph construction from text, an approach applied to fictional novels

Diego Rincon-Yanez; Sabrina Senatore

FAIR Knowledge Graph construction from text, an approach applied to fictional novels

Diego Rincon-Yanez
, Sabrina Senatore

Publikation: Beitrag in Buch/Konferenzband › Beitrag in Konferenzband

Abstract

A Knowledge Graph (KG) is a form of structured human knowledge depicting relations between entities, destined to reflect cognition and human-level intelligence. Large and openly available knowledge graphs (KGs) like DBpedia, YAGO, WikiData are universal cross-domain knowledge bases and are also accessible within the Linked Open Data (LOD) cloud, according to the FAIR principles that make data findable, accessible, interoperable and reusable. This work aims at proposing a methodological approach to construct domain-oriented knowledge graphs by parsing natural language content to extract simple triple-based sentences that summarize the analyzed text. The triples coded in RDF are in the form of subject, predicate, and object. The goal is to generate a KG that, through the main identified concepts, can be navigable and linked to the existing KGs to be automatically found and usable on the Web LOD cloud.

Originalsprache	Englisch
Titel des Sammelwerks	Text2KG 2022: International Workshop on Knowledge Graph Generation from Text
Untertitel des Sammelwerks	Co-located with the ESWC 2022, May 05-30-2022, Crete,Hersonissos, Greece
Herausgeber*innen	Sanju Tiwari, Nandana Mihindukulasooriya, Francesco Osborne, Dimitris Kontokostas , Jennifer D’Souza, Mayank Kejriwal
Verlag	CEUR Workshop Proceedings
Seitenumfang	15
Band	3184
Publikationsstatus	Veröffentlicht - 2022
Extern publiziert	Ja
Veranstaltung	1st International Workshop on Knowledge Graph Generation From Text and the 1st International Workshop on Modular Knowledge, TEXT2KG 2022 and MK 2022 - Hersonissos, Griechenland Dauer: 30 Mai 2022 → …

Publikationsreihe

Reihe	CEUR Workshop Proceedings
ISSN	1613-0073

Konferenz

Konferenz	1st International Workshop on Knowledge Graph Generation From Text and the 1st International Workshop on Modular Knowledge, TEXT2KG 2022 and MK 2022
Land/Gebiet	Griechenland
Ort	Hersonissos
Zeitraum	30/05/22 → …

Bibliographische Notiz

Publisher Copyright:
© 2022 Copyright for this paper by its authors.

Zugriff auf Dokument

https://ceur-ws.org/Vol-3184/Lizenz: CC BY

Andere Dateien und Links

Verknüpfung zur Publikation in Scopus

Zitat

Rincon-Yanez, D., & Senatore, S. (2022). FAIR Knowledge Graph construction from text, an approach applied to fictional novels. in S. Tiwari, N. Mihindukulasooriya, F. Osborne, D. Kontokostas , J. D’Souza, & M. Kejriwal (Hrsg.), Text2KG 2022: International Workshop on Knowledge Graph Generation from Text: Co-located with the ESWC 2022, May 05-30-2022, Crete,Hersonissos, Greece (Band 3184). CEUR Workshop Proceedings. https://ceur-ws.org/Vol-3184/

Rincon-Yanez, Diego ; Senatore, Sabrina. / FAIR Knowledge Graph construction from text, an approach applied to fictional novels. Text2KG 2022: International Workshop on Knowledge Graph Generation from Text: Co-located with the ESWC 2022, May 05-30-2022, Crete,Hersonissos, Greece. Hrsg. / Sanju Tiwari ; Nandana Mihindukulasooriya ; Francesco Osborne ; Dimitris Kontokostas ; Jennifer D’Souza ; Mayank Kejriwal. Band 3184 CEUR Workshop Proceedings, 2022. (CEUR Workshop Proceedings).

@inproceedings{0d03bf22e4bf4ab6b0e53093958af1e1,

title = "FAIR Knowledge Graph construction from text, an approach applied to fictional novels",

abstract = "A Knowledge Graph (KG) is a form of structured human knowledge depicting relations between entities, destined to reflect cognition and human-level intelligence. Large and openly available knowledge graphs (KGs) like DBpedia, YAGO, WikiData are universal cross-domain knowledge bases and are also accessible within the Linked Open Data (LOD) cloud, according to the FAIR principles that make data findable, accessible, interoperable and reusable. This work aims at proposing a methodological approach to construct domain-oriented knowledge graphs by parsing natural language content to extract simple triple-based sentences that summarize the analyzed text. The triples coded in RDF are in the form of subject, predicate, and object. The goal is to generate a KG that, through the main identified concepts, can be navigable and linked to the existing KGs to be automatically found and usable on the Web LOD cloud.",

keywords = "FAIR, Knowledge Graph, Knowledge Graph Embeddings, Natural Language Processing, Semantic Web Technologies",

author = "Diego Rincon-Yanez and Sabrina Senatore",

note = "Publisher Copyright: {\textcopyright} 2022 Copyright for this paper by its authors.; 1st International Workshop on Knowledge Graph Generation From Text and the 1st International Workshop on Modular Knowledge, TEXT2KG 2022 and MK 2022 ; Conference date: 30-05-2022",

year = "2022",

language = "English",

volume = "3184",

series = "CEUR Workshop Proceedings",

publisher = "CEUR Workshop Proceedings",

editor = "Tiwari, \{Sanju \} and Mihindukulasooriya, \{Nandana \} and Osborne, \{Francesco \} and \{Kontokostas \}, Dimitris and D{\textquoteright}Souza, \{Jennifer \} and Kejriwal, \{Mayank \}",

booktitle = "Text2KG 2022: International Workshop on Knowledge Graph Generation from Text",

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Rincon-Yanez, D & Senatore, S 2022, FAIR Knowledge Graph construction from text, an approach applied to fictional novels. in S Tiwari, N Mihindukulasooriya, F Osborne, D Kontokostas , J D’Souza & M Kejriwal (Hrsg.), Text2KG 2022: International Workshop on Knowledge Graph Generation from Text: Co-located with the ESWC 2022, May 05-30-2022, Crete,Hersonissos, Greece. Bd. 3184, CEUR Workshop Proceedings, CEUR Workshop Proceedings, 1st International Workshop on Knowledge Graph Generation From Text and the 1st International Workshop on Modular Knowledge, TEXT2KG 2022 and MK 2022, Hersonissos, Griechenland, 30/05/22. <https://ceur-ws.org/Vol-3184/>

FAIR Knowledge Graph construction from text, an approach applied to fictional novels. / Rincon-Yanez, Diego; Senatore, Sabrina.
Text2KG 2022: International Workshop on Knowledge Graph Generation from Text: Co-located with the ESWC 2022, May 05-30-2022, Crete,Hersonissos, Greece. Hrsg. / Sanju Tiwari; Nandana Mihindukulasooriya; Francesco Osborne; Dimitris Kontokostas ; Jennifer D’Souza; Mayank Kejriwal. Band 3184 CEUR Workshop Proceedings, 2022. (CEUR Workshop Proceedings).

Publikation: Beitrag in Buch/Konferenzband › Beitrag in Konferenzband

TY - GEN

T1 - FAIR Knowledge Graph construction from text, an approach applied to fictional novels

AU - Rincon-Yanez, Diego

AU - Senatore, Sabrina

PY - 2022

Y1 - 2022

N2 - A Knowledge Graph (KG) is a form of structured human knowledge depicting relations between entities, destined to reflect cognition and human-level intelligence. Large and openly available knowledge graphs (KGs) like DBpedia, YAGO, WikiData are universal cross-domain knowledge bases and are also accessible within the Linked Open Data (LOD) cloud, according to the FAIR principles that make data findable, accessible, interoperable and reusable. This work aims at proposing a methodological approach to construct domain-oriented knowledge graphs by parsing natural language content to extract simple triple-based sentences that summarize the analyzed text. The triples coded in RDF are in the form of subject, predicate, and object. The goal is to generate a KG that, through the main identified concepts, can be navigable and linked to the existing KGs to be automatically found and usable on the Web LOD cloud.

AB - A Knowledge Graph (KG) is a form of structured human knowledge depicting relations between entities, destined to reflect cognition and human-level intelligence. Large and openly available knowledge graphs (KGs) like DBpedia, YAGO, WikiData are universal cross-domain knowledge bases and are also accessible within the Linked Open Data (LOD) cloud, according to the FAIR principles that make data findable, accessible, interoperable and reusable. This work aims at proposing a methodological approach to construct domain-oriented knowledge graphs by parsing natural language content to extract simple triple-based sentences that summarize the analyzed text. The triples coded in RDF are in the form of subject, predicate, and object. The goal is to generate a KG that, through the main identified concepts, can be navigable and linked to the existing KGs to be automatically found and usable on the Web LOD cloud.

KW - FAIR

KW - Knowledge Graph

KW - Knowledge Graph Embeddings

KW - Natural Language Processing

KW - Semantic Web Technologies

UR - https://www.scopus.com/pages/publications/85137145414

M3 - Contribution to conference proceedings

AN - SCOPUS:85137145414

VL - 3184

T3 - CEUR Workshop Proceedings

BT - Text2KG 2022: International Workshop on Knowledge Graph Generation from Text

A2 - Tiwari, Sanju

A2 - Mihindukulasooriya, Nandana

A2 - Osborne, Francesco

A2 - Kontokostas , Dimitris

A2 - D’Souza, Jennifer

A2 - Kejriwal, Mayank

PB - CEUR Workshop Proceedings

T2 - 1st International Workshop on Knowledge Graph Generation From Text and the 1st International Workshop on Modular Knowledge, TEXT2KG 2022 and MK 2022

Y2 - 30 May 2022

ER -

Rincon-Yanez D, Senatore S. FAIR Knowledge Graph construction from text, an approach applied to fictional novels. in Tiwari S, Mihindukulasooriya N, Osborne F, Kontokostas D, D’Souza J, Kejriwal M, Hrsg., Text2KG 2022: International Workshop on Knowledge Graph Generation from Text: Co-located with the ESWC 2022, May 05-30-2022, Crete,Hersonissos, Greece. Band 3184. CEUR Workshop Proceedings. 2022. (CEUR Workshop Proceedings).