A Prototype of Semantic-Based Intelligent Search Engine for Chinese Documents

Che, Haiyan; Tao, Jing; Sun, Jie; Bai, Xi

doi:10.1109/fskd.2007.111

Cited by 5 publications

(3 citation statements)

References 4 publications

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“…A.S.DRIGAS et al [6] develop an intelligent searching tool SOM ODISSEAS using the Self-Organizing Map (SOM) algorithm, which can adjust and scale into any elearning platform that requires concept-based searches; H. Che et al [7] advocate a prototype of semanticbased search engine, called CRAB, which can extract factual knowledge from Chinese natural language documents automatically; Y.Li et al [8] propose a relation-based search engine, named OntoLook, which has been implemented in a virtual Semantic Web environment in their lab. Most of these studies rely on the ontology knowledge base; therefore the performance of the ontology knowledge base can directly impact on the search results.…”

Section: Related Workmentioning

confidence: 99%

A semantic enabled intelligent search system for educational information resources

Huang

Duan

Zhu

et al. 2009

2009 IEEE International Symposium on IT in Medicine &Amp; Education

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Aiming at the special requirements oriented to the education field, this paper proposes an intelligent search system based on semantic web. Under the guidance of the users' needs and the proposed Education Information Intelligent Search (EIIS) framework, the EIISReasoning mechanism and its relevant rule sets are constructed to automatically reason the search concepts in order to self-adapt semantics to more levels, where the semantic factor SR and the response time factor TR are both introduced to detail field application requirements. After this, the EIISRanking algorithm applies two levels ranking by the weight factor of semantic similarity, and the same relevance is differentiated in terms of education field needs. The case test shows that the semantic based intelligent search system takes on a better precision rate, and the ranking algorithm can improve execution performance.

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Section: Related Workmentioning

confidence: 99%

A semantic enabled intelligent search system for educational information resources

Huang

Duan

Zhu

et al. 2009

2009 IEEE International Symposium on IT in Medicine &Amp; Education

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“…Qazi et al (2004) discussed the components required by the search engine and proposed a conceptual architecture for a semantic search engine. Che et al (2007) advocated a prototype of semantic-based search engine called CRAB by comprehensively applying Semantic Web, Information Extraction (IE), Natural Language Processing (NLP) and a novel theme-based method. DRIGAS et al (2006) developed an intelligent search tool, i.e.…”

Section: Review Of Related Workmentioning

confidence: 99%

“…Qazi et al (2004) discussed the components required by the search engine and proposed a conceptual architecture for a semantic search engine. Che et al (2007) 2006) developed an intelligent search tool, i.e. SOM ODISSEAS, with the Self-Organizing Map (SOM) algorithm, which can adjust and scale into any elearning platform that required concept-based searches.…”

Section: Review Of Related Workmentioning

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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