Abstract

The semantic web brings a new opportunity for efficient information organization and search. To meet the special requirements of the educational field, this paper proposes an intelligent search engine enabled by educational semantic support service, where three kinds of searches are integrated into Educational Information Intelligent Search (EIIS) framework, and web-based resources and local e-resources are both identically semantically processed. During the design, the EIISReasoning and its relevant rule sets are constructed to automatically reason semantic concepts to diverse levels by a semantic factor and a response time factor. Furthermore, the EIISRanking algorithm applies two-level ranking by a factor of semantic similarity, and the same relevance is differentiated in terms of the educational field's needs. The experiments show that the EIIS engine with semantic services has a better precision rate and improved ranking performance. (Contains 2 tables and 13 figures.)

Citation

Huang, C.Q., Duan, R.L., Tang, Y., Zhu, Z.T., Yan, Y.J. & Guo, Y.Q. (2011). EIIS: An Educational Information Intelligent Search Engine Supported by Semantic Services. International Journal of Distance Education Technologies, 9(1), 21-43. IGI Global. Retrieved August 12, 2024 from https://www.learntechlib.org/p/109933/.

This record was imported from ERIC on April 19, 2013. [Original Record]

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Keywords

• artificial intelligence
• College Students
• Computer Software
• Computer Software Evaluation
• Computer System Design
• Educational Experiments
• educational technology
• Foreign Countries
• information retrieval
• internet
• Program Effectiveness
• programming
• Reaction Time
• Search Engines