Papers with Resource Description Framework

3 papers
The LODeXporter: Flexible Generation of Linked Open Data Triples from NLP Frameworks for Automatic Knowledge Base Construction (L18-1)

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Challenge: Linked Open Data (LOD) principles are used to export natural language processing (NLP) results to graph-based knowledge base.
Approach: They propose a method for exporting NLP results to a graph-based knowledge base using Linked Open Data principles.
Outcome: The proposed method is available as an open source component for the GATE framework and is available on GitHub.
RDF2PT: Generating Brazilian Portuguese Texts from RDF Data (L18-1)

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Challenge: Existing approaches to generate natural language from RDF data have been proposed to generate texts in Brazilian Portuguese.
Approach: They propose a rule-based approach to verbalize RDF data to Brazilian Portuguese language.
Outcome: The proposed approach generates text similar to that generated by humans and can hence be easily understood.
Ontology-Style Relation Annotation: A Case Study (2020.lrec-1)

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Challenge: Existing methods for Relation Extraction (RE) annotations use links between entities . a domain link connects the relation mention to the source entity while a range link connect the relation to the destination entity.
Approach: They propose an Ontology-Style Relation (OSR) annotation approach to find relation mentions in relation annotations.
Outcome: The proposed approach can be easily converted to Ontology RDF triples to populate an Ontologies.

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