New evaluation framework for metadata mapping approaches based on Markov models.

2012 11th International Conference on Information Science, Signal Processing and their Applications (ISSPA)(2012)

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摘要
Document annotation is considered as the definition of logical and physical structures of document. Several works for page layout analysis have been presented but there is no standard annotation for one document. In order to draw the relationship between these different presentations, a Mapping should be applied between different annotations. The question that should be answered is how efficient is this Mapping? We present in this paper a framework allowing the generation of a standard annotation for each document database. The description of the page layout analysis is based on XML metadata. The Mapping is applied between the standard document and a new document in order to allow the correspondence between them. The Mapping is evaluated using a proposed model based on Markov models. The results show that the probability rate for the Mapping evaluation varies from 0.6 to 1.
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关键词
signal processing,singular spectrum analysis,nonlinear system identification,mathematical models,identification approach,SSA,least squares support vector machines,LS-SVM model,measurement data de-noising,de-noised data
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