A framework for developing taxonomhy and ontology-based knowledge applications for e-government services | |
| Author | Werapat Threerawipark |
| Call Number | AIT Thesis no.CS-18-06 |
| Subject(s) | Ontology Knowledge, Theory of Expert systems (Computer science) Computer-aided engineering |
| Note | A thesis submitted in partial fulfillment of the requirements for the degree of Master of Engineering in Computer Science, School of Engineering and Technology |
| Publisher | Asian Institute of Technology |
| Series Statement | Thesis ; no. CS-18-06 |
| Abstract | E-Government has been widely implemented with the aim of enhancing the public service quality. In order to improve efficiency and quality of services to the citizens, Government-to-Citizen (G2C) and Government-to-Government (G2G) concepts need to be concerned. G2C services usually deliver information and services to citizens by using information and communication technologies (ICT). Similarly, G2G services also demand ICT infrastructure and technologies to enable data and service integration among different government agencies. Therefore, web applications and web services are implemented for sharing information and for providing services to citizen and government. In order to improve efficiency and quality of E-government services implementation, this thesis proposes a framework for developing taxonomy and ontology-based knowledge applications. It employs ontology technology for developing and sharing the common understanding of government knowledge, services, and operations among people and software agents. The framework consists of three main components: an OWL ontology editor, an ontology reasoner, and a SPARQL API. The implemented ontology editor provides an online collaboration tool which allows government officers to collaboratively construct and edit an ontology in order to model government knowledge and services. The reasoner enables ontology processing, querying and reasoning mechanisms over the constructed ontology. The SPARQL API provides an endpoint which allows public users or other applications to search and explore information in the ontology through the API using SPARQL queries. To demonstrate the usefulness and practicability of the framework, we implement a CustomsExcise Tariff Recommendation System, which can recommend the proper Customs Tariff and Excise Tariff for a particular product specification. An ontology which models Excise Tariff and Customs Tariff, as well as their mapping, are constructed based on the Customs Tariff and Excise Tariff of Thailand. The conducted user evaluation shows that the system can improve the efficiency of government officials at the Customs Department and provide a public tariff recommendation service to the citizens. |
| Year | 2018 |
| Corresponding Series Added Entry | Asian Institute of Technology. Thesis : no. CS-18-06 |
| Type | Thesis |
| School | School of Engineering and Technology (SET) |
| Department | Department of Information and Communications Technologies (DICT) |
| Academic Program/FoS | Computer Science (CS) |
| Chairperson(s) | Chutiporn Anutariya; |
| Examination Committee(s) | Dailey, Matthew N.;Marut Buranarach; |
| Scholarship Donor(s) | Royal Thai Government Fellowship; |
| Degree | Thesis (M. Eng.) - Asian Institute of Technology, 2018 |