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Spreadsheet Model Generator (SMOG): A Lightweight Tool for Object-Spreadsheet Mapping.

Alexandr Uciteli1, Christoph Beger1,2, Stefan Kropf1

  • 1Institute for Medical Informatics, Statistics and Epidemiology (IMISE), University of Leipzig, Germany.

Studies in Health Technology and Informatics
|September 5, 2019
PubMed
Summary
This summary is machine-generated.

Life science experts can now efficiently process spreadsheet data for ontology integration. The Spreadsheet Model Generator (SMOG) framework simplifies Java object model creation and spreadsheet mapping, aiding application development.

Keywords:
Spreadsheet modelobject mappingprogramming model generationreverse engineering

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Area of Science:

  • Life Sciences
  • Bioinformatics
  • Computational Biology

Background:

  • Spreadsheet software is widely used by life science experts for data collection and knowledge structuring.
  • Integrating spreadsheet data into ontologies is crucial for advanced analysis like reasoning and search.
  • Existing spreadsheet-to-ontology converters often have limitations regarding spreadsheet structure complexity and mapping processes.

Purpose of the Study:

  • To present a general framework for efficient spreadsheet data processing and management.
  • To introduce the Spreadsheet Model Generator (SMOG) for automating Java object model and mapping generation.
  • To facilitate the development of customized, efficient spreadsheet-based applications in life sciences.

Main Methods:

  • Developed the Spreadsheet Model Generator (SMOG) framework.
  • Implemented a mechanism for automatic generation of Java object models from spreadsheet data.
  • Created mappings between object code and spreadsheet entities.

Main Results:

  • SMOG simplifies the implementation of spreadsheet access methods.
  • The framework enables efficient development of spreadsheet-based applications.
  • SMOG has been successfully applied in real-world biomedical projects.

Conclusions:

  • The SMOG framework offers a robust solution for processing diverse spreadsheet data for life science applications.
  • It overcomes limitations of existing tools by simplifying data processing and integration into ontologies.
  • SMOG accelerates the development of specialized software for biomedical data management and analysis.