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.

Frame Embeddings for Event-Based Knowledge Reconciliation / Alam A, Reforgiato Recupero D, Mongiovì M, Gangemi A, Ristoski P. - ELETTRONICO. - (2017), pp. 13-18. (Intervento presentato al convegno ISWC 2017 tenutosi a Vienna nel 2017).

Frame Embeddings for Event-Based Knowledge Reconciliation

GANGEMI, ALDO
2017

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.
2017
2017 ISWC Posters and Demonstrations and Industry Tracks, ISWC-P and D-Industry 2017
13
18
Frame Embeddings for Event-Based Knowledge Reconciliation / Alam A, Reforgiato Recupero D, Mongiovì M, Gangemi A, Ristoski P. - ELETTRONICO. - (2017), pp. 13-18. (Intervento presentato al convegno ISWC 2017 tenutosi a Vienna nel 2017).
Alam A, Reforgiato Recupero D, Mongiovì M, Gangemi A, Ristoski P
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11585/620621
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