Natural Language Generation From Ontologies Using Grammatical Framework

Author Van Duc Nguyen

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Author Details

Van Duc Nguyen
  • Computer Science Department, New Mexico State University, USA

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Van Duc Nguyen. Natural Language Generation From Ontologies Using Grammatical Framework. In Technical Communications of the 34th International Conference on Logic Programming (ICLP 2018). Open Access Series in Informatics (OASIcs), Volume 64, pp. 22:1-22:7, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2018)


The paper addresses the problem of automatic generation of natural language descriptions for ontology-described artifacts. The motivation for the work is the challenge of providing textual descriptions of automatically generated scientific workflows (e.g., paragraphs that scientists can include in their publications). The extended abstract presents a system which generates descriptions of sets of atoms derived from a collection of ontologies. The system, called nlgPhylogeny, demonstrates the feasibility of the task in the Phylotastic project, that aims at providing evolutionary biologists with a platform for automatic generation of phylogenetic trees given some suitable inputs. nlgPhylogeny utilizes the fact that the Grammatical Framework (GF) is suitable for the natural language generation (NLG) task; the abstract shows how elements of the ontologies in Phylotastic, such as web services, inputs and outputs of web services, can be encoded in GF for the NLG task.

Subject Classification

ACM Subject Classification
  • Computing methodologies → Logic programming and answer set programming
  • Information systems → Web services
  • Computing methodologies → Natural language generation
  • Phylotastic
  • Grammatical Framework


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