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Final Report of GG Extraction GSoC 2018
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GG-Extraction_FinalReport.md

Final report of the work done for the GG Extraction Project for GFOSS – Open Technologies Alliance as part of GSoC 2018.

Abstract

The purpose of this project was the identification and extraction of Government Directorates and Divisions with the responsibilities assigned to them in a machine-readable format, as well as the extraction of related metadata.
To accomplish it, three main sets of functionalities were implemented:

General info

Repo: (https://github.com/eellak/gsoc2018-GG-extraction)
A general outline: (https://github.com/eellak/gsoc2018-GG-extraction/blob/master/README.md)

Detailed info

A detailed outline regarding Implementation, Usage and more:
(https://github.com/eellak/gsoc2018-GG-extraction/wiki)

Progress

My progress can be found at the Projects tab:
(https://github.com/eellak/gsoc2018-GG-extraction/projects)

Future Work

As mentioned here: (https://github.com/eellak/gsoc2018-GG-extraction/wiki/Improvement-Ideas)

  • Resolve metadata extractor issues (mentioned in Issues)
  • Add db support
  • Debug and fix signee extraction
  • Extend RespA section detection in RespA Decision Issues
    (ΦΕΚ Αποφάσεων που περιέχουν αναθέσεις αρμοδιοτήτων/καθηκόντων)
  • Devise a non-manual detection scheme using only the ML classifiers
  • Attempt a merge with one or more great relevant projects such as:
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