An Algorithmic Solution for Management of Related Text Objects with Application in Phytopharmacy

Dimova, Delyana. "An Algorithmic Solution for Management of Related Text Objects with Application in Phytopharmacy." Serdica Journal of Computing 4.4 (2010): 487-504. <http://eudml.org/doc/11396>.

@article{Dimova2010,
abstract = {This paper presents an algorithmic solution for management of related text objects, in which are integrated algorithms for their extraction from paper or electronic format, for their storage and processing in a relational database. The developed algorithms for data extraction and data analysis enable one to find specific features and relations between the text objects from the database. The algorithmic solution is applied to data from the field of phytopharmacy in Bulgaria. It can be used as a tool and methodology for other subject areas where there are complex relationships between text objects.},
author = {Dimova, Delyana},
journal = {Serdica Journal of Computing},
keywords = {Algorithmic Solution; Relational Database; Data Processing; Software; Phytopharmacy},
language = {eng},
number = {4},
pages = {487-504},
publisher = {Institute of Mathematics and Informatics Bulgarian Academy of Sciences},
title = {An Algorithmic Solution for Management of Related Text Objects with Application in Phytopharmacy},
url = {http://eudml.org/doc/11396},
volume = {4},
year = {2010},
}

TY - JOUR
AU - Dimova, Delyana
TI - An Algorithmic Solution for Management of Related Text Objects with Application in Phytopharmacy
JO - Serdica Journal of Computing
PY - 2010
PB - Institute of Mathematics and Informatics Bulgarian Academy of Sciences
VL - 4
IS - 4
SP - 487
EP - 504
AB - This paper presents an algorithmic solution for management of related text objects, in which are integrated algorithms for their extraction from paper or electronic format, for their storage and processing in a relational database. The developed algorithms for data extraction and data analysis enable one to find specific features and relations between the text objects from the database. The algorithmic solution is applied to data from the field of phytopharmacy in Bulgaria. It can be used as a tool and methodology for other subject areas where there are complex relationships between text objects.
LA - eng
KW - Algorithmic Solution; Relational Database; Data Processing; Software; Phytopharmacy
UR - http://eudml.org/doc/11396
ER -