Decisioning 2022 invites submission on the following topics. Papers presenting original results on research, teaching and industrial viewpoints are welcome. In this edition, the selection process will consider applicability, relevance, and originality related to sustainable agriculture. Papers accepted will be published in the UNLP repository.

It is planned to publish the proceedings with Springer in their Communications in Computer and Information Science series (final approval pending)

Topics of interest

The topics of interest are not exhaustive:

  • Knowledge Discovering Applications
  • Knowledge Representation and Modeling
  • Knowledge Maintenance
  • Knowledge Elicitation
  • Knowledge-Based Systems
  • Knowledge applications to sustainability and agriculture
  • Expert Systems
  • Decision Support Systems
  • Content Management and Knowledge Management Systems
  • Workflow Management Systems
  • Ontology Engineering (Modeling, Mapping, Integration)
  • Data Mining
  • Knowledge representation and ontologies to sustainability and agriculture
  • Natural Language Processing
  • Text Mining, Classification and Summarization
  • Information Storage, Annotation and Retrieval
  • Unstructured and Semi-Structured Data Retrieval
  • Data Simulation, Modeling, and Visualization
  • Information and Knowledge Integration
  • Knowledge graphs
  • Knowledge graphs applied to sustainability and agriculture.

Types of contributions

Full papers are scientific research papers, surveying works and industrial experiences describing significant advances. Submissions must be written in English having between 12 and 15 pages

Short papers are early results or work in progress with initial findings. Papers should be 4 to 6 pages long, including bibliography.

Doctoral Symposium reports should be 2 to 3 pages long, including bibliography.

Important dates

Paper submission: May 16, 2022 (Strong!)

Notification due: June 16, 2022

Final version (camera ready): July 16, 2022

Workshop: June 30 to July 1, 2022

Submission instructions

Papers must be original and not simultaneously submitted to another journal or conference, or previously published or submitted elsewhere. All paper submissions will be reviewed by three experts and returned to the author(s). In addition, they will be scanned using a plagiarism check tool.

All paper submissions (full and short)  will be reviewed by three experts and returned to the author(s). All papers must be submitted through EasyChair, using PDF format only and the name of the file should be preceded for the type of article [Full] o [Short]

Full papers

Scientific research papers, surveying works and industrial experiences describing significant advances. Submissions must be written in English, 12 to 15 pages long. Authors are requested to remove personal data, the acknowledgements section and any reference that may reveal the identity of the authors. Authors should consult Springer’s authors’ instructions and use the proceedings templates, either for LaTeX or MS Word, for the preparation of their papers.

Short papers

Short papers are early results or work in progress with initial findings. Papers should be 4 to 6 pages long, including bibliography.  Submissions can be written in English or in Spanish, but in the last case Title and Abstract are required also in English.

Authors should consult Springer’s authors’ instructions and use the proceedings templates, either for LaTeX, MS Word, for the preparation of their papers.

Doctoral Symposium Reports

Doctoral Symposium reports should be 2 to 3 pages long, including bibliography. Submissions can be written in English or in Spanish, but in the last case Title and Abstract are required also in English. They should clearly indicate the category of the submission (Early Stage -ES- or Middle/Late Stage -MS- LS-) and include the following sections following Title and Abstract:

  1. Introduction/Motivation: Give a general introduction to the domain/area/topic
  2. State of the Art: Describe existing work in the area, work focusing on the same/similar problems or that might be useful to realizing your Ph.D.
  3. Problem Statement and Contributions: Based on motivation and state of the art, formulate the problem you intend to solve, and how you intend to contribute to the research area.
  4. Research Methodology and Approach: Describe the research methodology you will apply in your research, including the different steps from the formulation of your research questions to answering them. Also describe the approach you are taking (or you intend to take for Early Stage submissions) to instantiate the research methodology, hence contributing to solve the problem described in Section 3 and confirm or reject your hypothesis. Discuss how this approach is innovative and novel, and how it is (might be) implemented.
  5. Evaluation Plan: Describe your evaluation plan, which is the way you intend to validate your hypothesis, your results, and the value of your approach. For Early Stage submissions, this might be only partially defined, and details might be omitted. For Late Stage submissions, you might have partial evaluation results.
  6. Preliminary or Intermediate Results: Being at an intermediate stage, you should report here about the results achieved up to now in applying your approach that might not yet be sufficient for a full evaluation.
  7. Conclusions and Learned Lessons : Present your intermediate conclusions and lessons learned. Describe how your results will or might impact research or the world at large. We do neither expect you to have solved all issues nor expect you to have finished your Ph.D. However, we expect you to show an understanding of these issues (although open) and to have a clear plan to address them. This symposium is the best place to discuss these issues and plans with experienced researchers and fellow students to get informed feedback!
  8. Ph.D. Stage: Early/Middle or Late

All reports must be submitted through EasyChair, using PDF format only. Name of the file should be preceded for the type of article [Doctoral ES] ,[Doctoral MS] or [Doctoral LS]