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Research on e-government knowledge navigation system based on XTM

Paper, was published by Jiangnan Qiu, Yongxiang Yao, Yanzhang Wang, and Xuehua Wang at 2007-01-08

This paper proposes an XTM-based e-government knowledge navigation system model.

External Links: IEEE record and ACM record

Against problem on current government portal navigation system is mostly based on keyword. An XTM-based e-government knowledge navigation system model was proposed, and a XTM based association and occurrences measurement mechanism is imported to the system. Especially based on analyses of topic relative semantic structure, a tree-structure semantic architecture is extracted from XTM by dividing the type of topic association. Semantics relatedness is introduced in the article to expand the second level association and calculate the degree of topic relative. The results show that the system has a good effectiveness and efficiency of navigation

Authors

Jiangnan Qiu

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Jiangnan is author of Research on e-government.. and Research on XTM Based.. .

Yongxiang Yao

No contact information available. 

Signet_person

Yongxiang is author of Research on e-government.. and Research on XTM Based.. .

Yanzhang Wang

No contact information available. 

Signet_person

Yanzhang is author of Research on e-government.. .

Xuehua Wang

No contact information available. 

Signet_person

Xuehua is author of Research on e-government.. .

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As a former information scientist, I am fascinated since 1999 by the capabilities for building Topic Maps-based knowledge systems having the potential to augment human mind. One can model arbitrary knowledge organization systems, deal with semantic heterogeneity, collocate all facts about one subject in one logical place, and with TMQL have semantic retrieval on federated semantic networks. Therefore I expect bright prospects for business concepts building on the exchange of such knowledge snippets via semantic knowledge services.

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