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|Title:||Record matching in digital library metadata|
|Authors:||Kan, M.-Y. |
|Citation:||Kan, M.-Y., Tan, Y.F. (2008). Record matching in digital library metadata. Communications of the ACM 51 (2) : 91-94. ScholarBank@NUS Repository. https://doi.org/10.1145/1314215.1340938|
|Abstract:||Record matching in digital library metadata uses evidences from the external sources to create more accurate matching systems. A manually compiled set of rules named a crosswalk may be used to transform the metadata into the library's own format, when libraries import large volumes of metadata from sources that follow a metadata standard. Graphical formalisms in the form of generative probabilistic models have also been suggested in which the model picks out collaborative groups and then assigns authors within this groups to generate references. The model can then run this model in the opposite direction to infer which collaborative group is responsible for a particular work. The graphical models have outperformed methods using pairwise comparisons in accuracy.|
|Source Title:||Communications of the ACM|
|Appears in Collections:||Staff Publications|
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