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A framework for semantic mapping between thesauri
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ACM International Conference Proceeding Series; Vol. 351 archive
Proceedings of the 2nd International Conference on Theory and Practice of Electronic Governance table of contents
Cairo, Egypt
SESSION: Sourcing and networks table of contents
Pages 251-257  
Year of Publication: 2008
ISBN:978-1-60558-386-0
Authors
Enrico Francesconi  Italian National Research Council (ITTIG-CNR), Florence, Italy
Sebastiano Faro  Italian National Research Council (ITTIG-CNR), Florence, Italy
Elisabetta Marinai  Italian National Research Council (ITTIG-CNR), Florence, Italy
Publisher
ACM  New York, NY, USA
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ABSTRACT

Thesaurus interoperability is an important property which guarantees quality in indexing and retrieval of heterogeneous data sources in a distributed environment. It contributes to guarantee semantic interoperability of public services and information quality which are essential features of eGov-ernment implementation policies. This paper presents a methodological framework for semantic mapping between thesauri as well as a specific approach within such framework on a case study aimed at mapping five thesauri of interest for European Union institutions having only schema information available.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

 
1
M. Doerr, "Semantic problems of thesaurus mapping," Journal of Digital Information, vol. 1, no. 8, 2001.
 
2
X. Ma, M. A. Wimmer, S. Dawes, M. Bicking, C. Codagnone, and M. Janssen, "eGovernment R&D Roadmap 2015," in Expanding the Knowledge Economy: Issues, Applications, Case Studies (P. Cunningham and M. Cunningham, eds.), IOS Press, 2007.
 
3
A. Miles and B. Matthews, "Deliverable 8.4: Inter-thesaurus mapping," 2004. http://www.w3c.rl.ac.uk/SWAD/deliverables/8.4.html.
 
4
 
5
 
6
 
7
A. Miles and D. Brickley, "Skos simple knowledge organization system reference," 2008. http://www.w3.org/TR/skos-reference.
 
8
 
9
 
10
M. M. y Gómez, A. Gelhukh, A. Lopez-Lopez, and R. Baeza-Yates, Flexible Comparison of Conceptual Graphs. Lecture Notes in Computer Science 2113, Springer-Verlag, 2001.
 
11
C.-A. M. Irniger, Graph Matching -- Filtering Databases of Graphs Using Machine Learning Techniques. PhD thesis, Institut für Informatik und angewandte Mathematik, Universität Bern, 2005.
 
12
 
13
W.-T. Cai, S.-R. Wang, and Q.-S. Jiang, "Address extraction: a graph matching and ontology-based approach to conceptual information retrieval," in Proceedings of the Third International Conference on Machine Learning and Cybernetics, pp. 1571--1576, 2004.
 
14
A. C. Liang and M. Sini, "Mapping AGROVOC and the Chinese Agricultural Thesaurus: Definitions, tools, procedures," New Review of Hypermedia and Multimedia, vol. 12, no. 1, pp. 51--62, 2006.

Collaborative Colleagues:
Enrico Francesconi: colleagues
Sebastiano Faro: colleagues
Elisabetta Marinai: colleagues