Explanations Generation For Web Service Workflow

Authors Van Duc Nguyen, Son Cao Tran, Enrico Pontelli



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Author Details

Van Duc Nguyen
  • Computer Science Department, New Mexico State University, USA
Son Cao Tran
  • Computer Science Department, New Mexico State University, USA
Enrico Pontelli
  • Computer Science Department, New Mexico State University, USA

Cite AsGet BibTex

Van Duc Nguyen, Son Cao Tran, and Enrico Pontelli. Explanations Generation For Web Service Workflow. In Technical Communications of the 34th International Conference on Logic Programming (ICLP 2018). Open Access Series in Informatics (OASIcs), Volume 64, pp. 14:1-14:3, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2018)
https://doi.org/10.4230/OASIcs.ICLP.2018.14

Abstract

The motivation for the work is the challenge of providing textual explanations of automatically generated scientific workflows (e.g., paragraphs that scientists can include in their publications). The extended abstract presents a system which generates explanations for a web service workflow from 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.

Subject Classification

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

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References

  1. Krasimir Angelov, Björn Bringert, and Aarne Ranta. PGF: A Portable Run-time Format for Type-theoretical Grammars. Journal of Logic, Language and Information, 19:201-228, 2010. Google Scholar
  2. Thanh H. Nguyen, Tran Cao Son, and Enrico Pontelli. Automatic Web Services Composition for Phylotastic. In Practical Aspects of Declarative Languages - 20th International Symposium, pages 186-202, 2018. URL: http://dx.doi.org/10.1007/978-3-319-73305-0_13.
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