Intellectual Search Systems Based on the Model of Natural Language Understanding

Kargm, A.A.; Paramonov, Anton

doi:10.1109/idaacs.2005.282960

Cited by 2 publications

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“…The current researches on intelligent search technologies mainly include Intelligent Agent (Kim, 2006), Web Mining (Li et al, 2002), Natural Language Understanding (Kargin & Paramonov, 2005) and so on. The advent of semantic web brings a new opportunity to the formal organization and intelligent search aiming at online educational resources.…”

Section: Introductionmentioning

confidence: 99%

Eiis

Huang

Duan

Tang

et al. 2011

International Journal of Distance Education Technologies

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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.increasing rapidly. A variety of online characters bring education more advantages, such as digital and multi-media interface, rich and rapidly updated information, high interactivity and wide coverage, the related applications are open and can be shared over the Internet (Ren, 2009). However, as a result of the absence of resource standards and unified organization in 2005. Her research interests involve webbased education, social computing and open source software.

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Section: Introductionmentioning

confidence: 99%