Frame embeddings for event-based knowledge reconciliation

Mehwish Alam; Diego Reforgiato Recupero; Misael Mongiovi; Aldo Gangemi; Petar Ristoski

Frame embeddings for event-based knowledge reconciliation

Mehwish Alam
, Diego Reforgiato Recupero
, Misael Mongiovi
, Aldo Gangemi
, Petar Ristoski

University Paris 13
Institute of Cognitive Sciences and Technologies
Universitá di Cagliari
University of Mannheim

Résultats de recherche: Contribution à un journal › Article de conférence › Revue par des pairs

Résumé

This paper focuses on reconciling knowledge graphs generated from two text documents about similar events described differently. The proposed approach employs and extends MERGILO, a tool for reconciling knowledge graphs extracted from text, using word similarity and graph alignment. Our approach effectively handles events using Frame Embeddings and Frame Based Similarities. It is evaluated over a coreference resolution task.

langue originale	Anglais
journal	CEUR Workshop Proceedings
Volume	1963
état	Publié - 1 janv. 2017
Modification externe	Oui
Evénement	2017 ISWC Posters and Demonstrations and Industry Tracks, ISWC-P and D-Industry 2017 co-located with 16th International Semantic Web Conference, ISWC 2017 - Vienna, Autriche Durée: 23 oct. 2017 → 25 oct. 2017

Contient cette citation

@article{5de0659f766b4d8996805617e95b1be3,

title = "Frame embeddings for event-based knowledge reconciliation",

abstract = "This paper focuses on reconciling knowledge graphs generated from two text documents about similar events described differently. The proposed approach employs and extends MERGILO, a tool for reconciling knowledge graphs extracted from text, using word similarity and graph alignment. Our approach effectively handles events using Frame Embeddings and Frame Based Similarities. It is evaluated over a coreference resolution task.",

author = "Mehwish Alam and Recupero, \{Diego Reforgiato\} and Misael Mongiovi and Aldo Gangemi and Petar Ristoski",

year = "2017",

month = jan,

day = "1",

language = "English",

volume = "1963",

journal = "CEUR Workshop Proceedings",

issn = "1613-0073",

publisher = "CEUR-WS",

note = "2017 ISWC Posters and Demonstrations and Industry Tracks, ISWC-P and D-Industry 2017 co-located with 16th International Semantic Web Conference, ISWC 2017 ; Conference date: 23-10-2017 Through 25-10-2017",

}

TY - JOUR

T1 - Frame embeddings for event-based knowledge reconciliation

AU - Alam, Mehwish

AU - Recupero, Diego Reforgiato

AU - Mongiovi, Misael

AU - Gangemi, Aldo

AU - Ristoski, Petar

PY - 2017/1/1

Y1 - 2017/1/1

N2 - This paper focuses on reconciling knowledge graphs generated from two text documents about similar events described differently. The proposed approach employs and extends MERGILO, a tool for reconciling knowledge graphs extracted from text, using word similarity and graph alignment. Our approach effectively handles events using Frame Embeddings and Frame Based Similarities. It is evaluated over a coreference resolution task.

AB - This paper focuses on reconciling knowledge graphs generated from two text documents about similar events described differently. The proposed approach employs and extends MERGILO, a tool for reconciling knowledge graphs extracted from text, using word similarity and graph alignment. Our approach effectively handles events using Frame Embeddings and Frame Based Similarities. It is evaluated over a coreference resolution task.

M3 - Conference article

AN - SCOPUS:85033464031

SN - 1613-0073

VL - 1963

JO - CEUR Workshop Proceedings

JF - CEUR Workshop Proceedings

T2 - 2017 ISWC Posters and Demonstrations and Industry Tracks, ISWC-P and D-Industry 2017 co-located with 16th International Semantic Web Conference, ISWC 2017

Y2 - 23 October 2017 through 25 October 2017

ER -

Frame embeddings for event-based knowledge reconciliation

Résumé

Empreinte digitale

Contient cette citation