Metaextract - a rule-based extraction system for bibliographic metadata from multilingual scientific journals

Turgunbaev , Rashid

Techscience.uz - техника фанлари долзарб масалалри · 2026-yil

Annotatsiya

This paper describes the architecture and implementation of a rule-based software system designed to automatically extract bibliographic metadata (title, authors, annotation, keywords, DOI, etc.) from scientific journal articles. The system consists of two interrelated but independently executable Java Swing desktop applications - a rule generator (PDFTextLabeler) and an extraction tool (MetaExtract), which are connected through a common configuration schema called ExtractionConfig, serialized to JSON format using the Jackson library. The user defines metadata fields in geometric (rectangular) and linear (header/reference border) modes for a single sample journal article, and then the resulting rules are applied repeatedly to all articles in any issue of this journal. To increase the reliability of author name recognition, geometric rules work in a mixed mode, combined with the NameFinderME model trained for Latin and Cyrillic scripts from the Apache OpenNLP library. The system supports the Tess4J (Tesseract OCR) engine for scanned documents, the iText library as a fallback for text extraction, and XML export for direct import to the Open Journal Systems (OJS) platform. The article describes in detail the four-layer architecture of the system, the internal structure of the ExtractionConfig scheme, the main software modules and the data flow between them, as well as a number of practical problems that arose during the implementation (for example, graphic variability of typographical punctuation marks) and their solutions.

Maqola ma’lumotlari
MualliflarTurgunbaev , Rashid
JurnalTechscience.uz - техника фанлари долзарб масалалри
NashriyotЖиззах политехника институти
ISSN3030-3702, 3030-3702
Nashr sanasi2026-09-16
Jild4
Son9
Betlar12-18
TilIngliz
Ilmiy sohaTexnika
DOI10.47390/ts-v4i9y2026n02
Indeksga qo‘shilgan2026-09-17

DOI: 10.47390/ts-v4i9y2026n02 · Maqolaning asl sahifasi

Kalit so‘zlar

metadata extraction; rule-based system; Apache PDFBox; Apache OpenNLP; NameFinderME; Java Swing; Open Journal Systems; low-resource languages., metama’lumotlarni ekstraksiya qilish; qoidalarga asoslangan tizim; Apache PDFBox; Apache OpenNLP; NameFinderME; Java Swing; Open Journal Systems; kam resursli tillar.

Ilmiy soha

Texnika

Iqtibos keltirish

APATurgunbaev , Rashid (2026). METAEXTRACT - A RULE-BASED EXTRACTION SYSTEM FOR BIBLIOGRAPHIC METADATA FROM MULTILINGUAL SCIENTIFIC JOURNALS. Techscience.uz - техника фанлари долзарб масалалри, 4(9), 12-18. https://doi.org/10.47390/ts-v4i9y2026n02
GOST (OAK)Turgunbaev , Rashid METAEXTRACT - A RULE-BASED EXTRACTION SYSTEM FOR BIBLIOGRAPHIC METADATA FROM MULTILINGUAL SCIENTIFIC JOURNALS // Techscience.uz - техника фанлари долзарб масалалри. – 2026. – T. 4, № 9. – P. 12-18. – DOI: 10.47390/ts-v4i9y2026n02.
MLATurgunbaev , Rashid. “METAEXTRACT - A RULE-BASED EXTRACTION SYSTEM FOR BIBLIOGRAPHIC METADATA FROM MULTILINGUAL SCIENTIFIC JOURNALS.” Techscience.uz - техника фанлари долзарб масалалри, 4(9), 12-18, 2026. https://doi.org/10.47390/ts-v4i9y2026n02
ChicagoTurgunbaev , Rashid. “METAEXTRACT - A RULE-BASED EXTRACTION SYSTEM FOR BIBLIOGRAPHIC METADATA FROM MULTILINGUAL SCIENTIFIC JOURNALS.” Techscience.uz - техника фанлари долзарб масалалри, 4(9), 12-18 (2026). https://doi.org/10.47390/ts-v4i9y2026n02
HarvardTurgunbaev , Rashid (2026) ‘METAEXTRACT - A RULE-BASED EXTRACTION SYSTEM FOR BIBLIOGRAPHIC METADATA FROM MULTILINGUAL SCIENTIFIC JOURNALS’, Techscience.uz - техника фанлари долзарб масалалри, 4(9), 12-18. https://doi.org/10.47390/ts-v4i9y2026n02
BibTeX
@article{turgunbaevrashid2026,
  title = {METAEXTRACT - A RULE-BASED EXTRACTION SYSTEM FOR BIBLIOGRAPHIC METADATA FROM MULTILINGUAL SCIENTIFIC JOURNALS},
  author = {Turgunbaev , Rashid},
  journal = {Techscience.uz - техника фанлари долзарб масалалри},
  year = {2026},
  volume = {4},
  number = {9},
  pages = {12-18},
  doi = {10.47390/ts-v4i9y2026n02},
  url = {https://doi.org/10.47390/ts-v4i9y2026n02}
}

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