Towards Ontology Based Data Extraction for Organizational Goals Metrics Indicator
In this paper, we proposed a measurement framework to evaluate the quality of results at organizational goals level. We proposed metrics indicators to guarantee and optimize the usage of data to extract useful information in organization. The framework is flexible to change without affecting things...
| Published in: | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
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| Format: | Conference paper |
| Language: | English |
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Springer Science and Business Media Deutschland GmbH
2020
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| Online Access: | https://www.scopus.com/inward/record.uri?eid=2-s2.0-85092245815&doi=10.1007%2f978-3-030-58811-3_19&partnerID=40&md5=177d3723bb78d2dc2592973aad3fe2cb |
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2-s2.0-85092245815 Izhar T.A.T.; Apduhan B.O. Towards Ontology Based Data Extraction for Organizational Goals Metrics Indicator 2020 Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 12252 LNCS 10.1007/978-3-030-58811-3_19 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85092245815&doi=10.1007%2f978-3-030-58811-3_19&partnerID=40&md5=177d3723bb78d2dc2592973aad3fe2cb In this paper, we proposed a measurement framework to evaluate the quality of results at organizational goals level. We proposed metrics indicators to guarantee and optimize the usage of data to extract useful information in organization. The framework is flexible to change without affecting things around because the framework is applicable in any domains. We discuss the review of the problems, proposed solution to the problems and draw a conclusion of this paper. © 2020, Springer Nature Switzerland AG. Springer Science and Business Media Deutschland GmbH 3029743 English Conference paper |
| author |
Izhar T.A.T.; Apduhan B.O. |
| spellingShingle |
Izhar T.A.T.; Apduhan B.O. Towards Ontology Based Data Extraction for Organizational Goals Metrics Indicator |
| author_facet |
Izhar T.A.T.; Apduhan B.O. |
| author_sort |
Izhar T.A.T.; Apduhan B.O. |
| title |
Towards Ontology Based Data Extraction for Organizational Goals Metrics Indicator |
| title_short |
Towards Ontology Based Data Extraction for Organizational Goals Metrics Indicator |
| title_full |
Towards Ontology Based Data Extraction for Organizational Goals Metrics Indicator |
| title_fullStr |
Towards Ontology Based Data Extraction for Organizational Goals Metrics Indicator |
| title_full_unstemmed |
Towards Ontology Based Data Extraction for Organizational Goals Metrics Indicator |
| title_sort |
Towards Ontology Based Data Extraction for Organizational Goals Metrics Indicator |
| publishDate |
2020 |
| container_title |
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
| container_volume |
12252 LNCS |
| container_issue |
|
| doi_str_mv |
10.1007/978-3-030-58811-3_19 |
| url |
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85092245815&doi=10.1007%2f978-3-030-58811-3_19&partnerID=40&md5=177d3723bb78d2dc2592973aad3fe2cb |
| description |
In this paper, we proposed a measurement framework to evaluate the quality of results at organizational goals level. We proposed metrics indicators to guarantee and optimize the usage of data to extract useful information in organization. The framework is flexible to change without affecting things around because the framework is applicable in any domains. We discuss the review of the problems, proposed solution to the problems and draw a conclusion of this paper. © 2020, Springer Nature Switzerland AG. |
| publisher |
Springer Science and Business Media Deutschland GmbH |
| issn |
3029743 |
| language |
English |
| format |
Conference paper |
| accesstype |
|
| record_format |
scopus |
| collection |
Scopus |
| _version_ |
1812871800287133696 |