DOAJ Open Access 2017

Towards an information extraction and knowledge formation framework based on Shannon entropy

Iliescu Dragoș Gheorghe Marian

Abstrak

Information quantity subject is approached in this paperwork, considering the specific domain of nonconforming product management as information source. This work represents a case study. Raw data were gathered from a heavy industrial works company, information extraction and knowledge formation being considered herein. Involved method for information quantity estimation is based on Shannon entropy formula. Information and entropy spectrum are decomposed and analysed for extraction of specific information and knowledge-that formation. The result of the entropy analysis point out the information needed to be acquired by the involved organisation, this being presented as a specific knowledge type.

Penulis (2)

I

Iliescu Dragoș

G

Gheorghe Marian

Format Sitasi

Dragoș, I., Marian, G. (2017). Towards an information extraction and knowledge formation framework based on Shannon entropy. https://doi.org/10.1051/matecconf/20179406013

Akses Cepat

Informasi Jurnal
Tahun Terbit
2017
Sumber Database
DOAJ
DOI
10.1051/matecconf/20179406013
Akses
Open Access ✓