Multilingual collection retrieving via ontology alignment

Authors:
Liang Zhang;Guowen Wu;Yanfei Xu;Wei Li;Yang Zhong
Affiliations:
Department of Computing and Information Technology, Fudan University, China;Academy of Changjiang Computer (Group) Company, China;Department of Computing and Information Technology, Fudan University, China;Department of Computing and Information Technology, Fudan University, China;School of Life Science, Fudan University, China
Venue:
ICADL'04 Proceedings of the 7th international Conference on Digital Libraries: international collaboration and cross-fertilization
Year:
2004

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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.