E-Government Knowledge Navigation Based on Topic Maps

Article Preview

Abstract:

Topic Maps (TM) are standardized by ISO 13250 for the pur¬pose of semantic annotation of WWW resources. This paper presents the knowledge navigation system for E-Government information portal based on Topic Maps technology, including four layers: information resources layer, knowledge layer, information navigation server layer and application layer. The method of constructing topic maps from domain ontology is discussed. The knowledge layer is abstracted from large quantities of distributing heterogeneous municipal information resources by using TM. Navigation scope is built on the knowledge level which enlarges the navigation unit granularity and quantity of receiving information, shortens the navigation routing, improves the efficiency of navigation, and achieves the intelligent information retrieval. The research is valuable in E-Government and knowledge navigation.

You might also be interested in these eBooks

Info:

Periodical:

Advanced Materials Research (Volumes 121-122)

Pages:

546-549

Citation:

Online since:

June 2010

Export:

Price:

Permissions CCC:

Permissions PLS:

Сopyright:

© 2010 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

[1] J.H. Li: Mechanisms of Electronic Service Delivery in Electronic Government. Science Research Management, Vol. 24, No. 4 (2003), pp.122-126 (in Chinese).

Google Scholar

[2] V. Peristeras, K. Tarabanis, and Sotirios K. Goudos: Model-driven e-Government Interoperability: A Review of the State of the Art. Computer Standards & Interfaces, Vol. 31, No. 4 (2009), pp.613-628.

DOI: 10.1016/j.csi.2008.09.034

Google Scholar

[3] D. M. Lytras: The Semantic Electronic Government: Knowledge Management for Citizen Relationship and New Assessment Scenarios. Electronic Government, Vol. 3, No. 1 (2006), pp.5-17.

DOI: 10.1504/eg.2006.008489

Google Scholar

[4] International Organization for Standardization (ISO), 1SO/EC 13250: 2000 Information technology - SGML Applications - Topic Maps, Geneva, (2000).

Google Scholar

[5] S. Pepper and G. Moore: XML Topic Maps (XTM) 1. 0. Topic Maps Authoring Group, http: /www. topicmaps. org/xtm, (2001).

DOI: 10.1007/978-3-642-56285-3_12

Google Scholar

[6] P. Wolf, H. Krcmar: Topic Map Technology for Municipal Management Information Systems. Proceedings of the 38th Hawaii International Conference on System Sciences, (2005).

DOI: 10.1109/hicss.2005.627

Google Scholar

[7] S. Smolnik, L. Nastansky: K-Discovery: Using Topic Maps to Identify Distributed Knowledge Structures in Groupware-based Organizational Memories. Proceedings of the 35th Annual Hawaii International Conference on System Sciences, (2002).

DOI: 10.1109/hicss.2002.994047

Google Scholar

[8] TMQL requirements 1. 0. 0, http: ∥www. y12. doe. gov/ sgml/ sc34 / document/0249. htm. XML Topic Map Ontology Information Resource Layer DB HTML Application Knowledge Layer Information Navigation Server Layer Application Layer User Query Information Issue OLAP DB Ontology Browser Reasoner Navigation Server WWW.

Google Scholar