Towards an information extraction and knowledge formation framework based on Shannon entropy
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 bei...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
EDP Sciences
2017-01-01
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| Series: | MATEC Web of Conferences |
| Online Access: | http://dx.doi.org/10.1051/matecconf/20179406013 |
| _version_ | 1818960001547370496 |
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| author | Iliescu Dragoș Gheorghe Marian |
| author_facet | Iliescu Dragoș Gheorghe Marian |
| author_sort | Iliescu Dragoș |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-12-20T11:50:36Z |
| format | Article |
| id | doaj.art-000b6ad57ad54b79999828737982a205 |
| institution | Directory Open Access Journal |
| issn | 2261-236X |
| language | English |
| last_indexed | 2024-12-20T11:50:36Z |
| publishDate | 2017-01-01 |
| publisher | EDP Sciences |
| record_format | Article |
| series | MATEC Web of Conferences |
| spelling | doaj.art-000b6ad57ad54b79999828737982a2052022-12-21T19:41:47ZengEDP SciencesMATEC Web of Conferences2261-236X2017-01-01940601310.1051/matecconf/20179406013matecconf_cosme2017_06013Towards an information extraction and knowledge formation framework based on Shannon entropyIliescu Dragoș0Gheorghe Marian1University Politehnica of Bucharest, Faculty of Engineering and Management of Technological SystemsUniversity Politehnica of Bucharest, Faculty of Engineering and Management of Technological SystemsInformation 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.http://dx.doi.org/10.1051/matecconf/20179406013 |
| spellingShingle | Iliescu Dragoș Gheorghe Marian Towards an information extraction and knowledge formation framework based on Shannon entropy MATEC Web of Conferences |
| title | Towards an information extraction and knowledge formation framework based on Shannon entropy |
| title_full | Towards an information extraction and knowledge formation framework based on Shannon entropy |
| title_fullStr | Towards an information extraction and knowledge formation framework based on Shannon entropy |
| title_full_unstemmed | Towards an information extraction and knowledge formation framework based on Shannon entropy |
| title_short | Towards an information extraction and knowledge formation framework based on Shannon entropy |
| title_sort | towards an information extraction and knowledge formation framework based on shannon entropy |
| url | http://dx.doi.org/10.1051/matecconf/20179406013 |
| work_keys_str_mv | AT iliescudragos towardsaninformationextractionandknowledgeformationframeworkbasedonshannonentropy AT gheorghemarian towardsaninformationextractionandknowledgeformationframeworkbasedonshannonentropy |