Paper Info
Title
An Ontology-Based Framework for Organization Information Extraction
Abstract
In this paper we proposed a framework to develop the relationship between organizational data and organizational goals. This framework is developed based on ontology. The framework utilizes the organizational goals ontology, including an approach to identify the organizational goals and associated measurement metrics. A case study is presented to explain in detail, along with a description as to how the framework is applied, implemented and evaluated in a higher education institution in Australia. The results show that the framework is effective and efficient to assist in the decision-making process to specify to what extent the organizational goals can be achieved.
Year
DOI
Venue
2017
10.1109/DASC-PICom-DataCom-CyberSciTec.2017.47
2017 IEEE 15th Intl Conf on Dependable, Autonomic and Secure Computing, 15th Intl Conf on Pervasive Intelligence and Computing, 3rd Intl Conf on Big Data Intelligence and Computing and Cyber Science and Technology Congress(DASC/PiCom/DataCom/CyberSciTech)
Keywords
Field
DocType
ontologies,organizational data,organizational goals ontology,metrics,dependency relationship
Ontology (information science),Ontology,Data modeling,Computer science,Knowledge management,Information extraction,Higher education
Conference
ISBN
Citations 
PageRank 
978-1-5386-1957-5
0
0.34
References 
Authors
4
2
Name
Order
Citations
PageRank
Tengku Adil Tengku Izhar102.03
bernady o apduhan227337.70