Towards an information extraction and knowledge formation framework based on Shannon entropy
Journal: MATEC Web of Conferences
•
• EDP Sciences
• ISSN:
2261-236X
Abstract
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.
Subjects & Keywords
How to Cite this Article
Iliescu Dragoș, Gheorghe Marian (2017). "Towards an information extraction and knowledge formation framework based on Shannon entropy". MATEC Web of Conferences. https://doi.org/10.1051/matecconf/20179406013