Abstract
As parts of global information infrastructure, digital libraries will likely be accessed by people all over world. Ontologies and their association can alleviate the heterogeneity and particularly the diversity of languages. This paper proposes a solution to cross-lingual information retrieval problem via ontology alignment. We elaborate two original techniques, i.e. primitives’ association based on CL-LSI and mapping configuration optimization, to augment existing ontology mapping technology. As a result, multilingual collections can be bridged by this mapping, and searching across them can be achieved by three tractable steps: querying against local ontology, routing to target ontologies, and harvesting contents there online.
This work is partially supported by the NSFC key project under grant No. 69933010, the Chinese Hi-tech (863) Project under grant No. 2002AA4Z3430, and No. 2002AA231041, as well as Shanghai S&T Commission key project under grant No. 02DJ14013.
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© 2004 Springer-Verlag Berlin Heidelberg
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Zhang, L., Wu, G., Xu, Y., Li, W., Zhong, Y. (2004). Multilingual Collection Retrieving Via Ontology Alignment. In: Chen, Z., Chen, H., Miao, Q., Fu, Y., Fox, E., Lim, Ep. (eds) Digital Libraries: International Collaboration and Cross-Fertilization. ICADL 2004. Lecture Notes in Computer Science, vol 3334. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-30544-6_57
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DOI: https://doi.org/10.1007/978-3-540-30544-6_57
Publisher Name: Springer, Berlin, Heidelberg
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