Name
Abstract | ||
|---|---|---|
Data are important to assist decision-making in relation to achieve the organization goal. However, the trustworthiness of organization data in achieving the organization goal is questioned because of the vast amount of organization data. The aim of this paper is to propose a modeling concept in an effort to develop an ontology model and metric model in the context of the organization goals conformance. In this paper, we propose these models as a tool to evaluate the organization data and its conformance in order to support managerial decision-making and thereby assist the organization to achieve its goals. Ontology is important to improve understanding of the organization goal structure and relationship. We apply a case study to evaluate our organization goal ontology and metric model. The result shows that the organization goal relationships are connected based on ontology. |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1109/DASC/PiCom/DataCom/CyberSciTec.2018.00086 | 2018 IEEE 16th Intl Conf on Dependable, Autonomic and Secure Computing, 16th Intl Conf on Pervasive Intelligence and Computing, 4th Intl Conf on Big Data Intelligence and Computing and Cyber Science and Technology Congress(DASC/PiCom/DataCom/CyberSciTech) |
Keywords | Field | DocType |
Organization goal,Ontology,Relationships,Rules,Sub-goal | Ontology (information science),Ontology,Rule-based system,Task analysis,Trustworthiness,Computer science,Knowledge management | Conference |
ISBN | Citations | PageRank |
978-1-5386-7519-9 | 0 | 0.34 |
References | Authors | |
15 | 3 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Tengku Adil Tengku Izhar | 1 | 0 | 2.03 |
| bernady o apduhan | 2 | 273 | 37.70 |
| Torab Torabi | 3 | 82 | 17.01 |