This paper presents Text2AMR2FRED, a text-to-Knowledge Graph (KG) pipeline that transforms multilingual natural language text into logically sound KGs. It enables at-scale information retrieval and knowledge extraction. This pipeline overcomes the lax logic and interoperability challenges faced by existing semantic parsers and machine readers. Adhering to Semantic Web standards, it transforms text content into structured knowledge and enriches it by exploiting external knowledge.

Text2AMR2FRED, a Tool for Transforming Text into RDF/OWL Knowledge Graphs via Abstract Meaning Representation

Tripodi R.
2023-01-01

Abstract

This paper presents Text2AMR2FRED, a text-to-Knowledge Graph (KG) pipeline that transforms multilingual natural language text into logically sound KGs. It enables at-scale information retrieval and knowledge extraction. This pipeline overcomes the lax logic and interoperability challenges faced by existing semantic parsers and machine readers. Adhering to Semantic Web standards, it transforms text content into structured knowledge and enriches it by exploiting external knowledge.
2023
CEUR Workshop Proceedings
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/10278/5106338
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