Document (#27686)

Author

Silva, N.
Rocha, J.

Title

Merging ontologies using a bottom-up lexical and structural approach

Source

Challenges in knowledge representation and organization for the 21st century: Integration of knowledge across boundaries. Proceedings of the 7th ISKO International Conference Granada, Spain, July 10-13, 2002. Ed.: M. López-Huertas

Imprint

Würzburg : Ergon Verlag

Year

2003

Pages

S.60-66

Series

Advances in knowledge organization; vol.8

Abstract

Information integration has been the focus of different research domains for several years. With the emergence of the Internet as a very large database, this topic has become of extreme relevance for a larger audience, seeking mechanisms to align information from different data sources according to semantic needs and constraints. The classical integration approaches do not satisfy new operational requirements; thus new strategies should be proposed and developed. We suggest the adoption of a light alignment mechanism without merging data source. The alignment process occurs at an ontological level, setting the components and transformation functions necessary to translate data from source to target. Establishing the alignment process at the ontological level allows the system to reason about the semantics embodied in the information and thus enhance the alignment results, according to both the source and target specifications. The resulting specifcations are then applied in the transformation procedure, executed independently of data source entities.

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