Ontology-Based Information Retrieval Agent Generator for Mobile Grid
| Autor: | Yu-Cheng Luo, 駱宇承 |
|---|---|
| Rok vydání: | 2008 |
| Druh dokumentu: | 學位論文 ; thesis |
| Popis: | 96 Due to the accelerating development of wireless communication technology, the integration of grid computing and wireless networking has become increasingly important. The issue of information extraction and knowledge representation has also become prominent in the mobile grid environment. It is challenging, however, for published information to possess the ability of intelligent inference and automatic processing in a wireless environment. This research is therefore based on current knowledge about semantic web and intelligent agent, and it combines several technologies, including information retrieval, knowledge representation, and multi-agent. In this thesis, we propose and implement an ontology-based, multi-agent system architecture that is capable of semantic information retrieval. The architecture includes UA, RA, GA, ISA, and KSA. The agents not only enhance the immediacy and convenience of information retrieval and knowledge discovery, but also improve the mobility of mobile devices. Moreover, we propose a new descriptive language, MADL, which predominantly uses XML to describe the interface and behavior of mobile agent. MIRA-GA can use the description of MADL to produce MIRA to execute in the mobile grid environment, thus to achieve knowledge discovery. This thesis ends with an example of searching popular singers to present a practical application of our proposed architecture. |
| Databáze: | Networked Digital Library of Theses & Dissertations |
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