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Titlebook: Learning Structure and Schemas from Documents; Marenglen Biba,Fatos Xhafa Book 2011 Springer-Verlag GmbH Berlin Heidelberg 2011 Computatio

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A Survey on Integrating Data in Bioinformatics,logies and techniques, have been proposed in the literature to deal with the problem of integrating biological sources. Nevertheless it does not exist yet an approach able to solve all mentioned problems. This chapter provides a survey on data integration in the field of biological sources.
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Learning Structure and Schemas from Heterogeneous Domains in Networked Systems Surveyed,-based technologies in distributed environments, there is strong motivation to develop robust methods to organize documents in large and repositories. In particular, the extremely large volume of document collections makes it unfeasible to manually handle such documents. In addition, most of the doc
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Handling Hierarchically Structured Resources Addressing Interoperability Issues in Digital Librariestructured resources.We envision this framework in the context of Digital Libraries and using it as a mean to address the complex and multiform concept of interoperability when dealing with hierarchical structures. The NESTOR Framework is based on three main components: The Model, the Algebra and a
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Administrative Document Analysis and Structure,per flow with new and continuous arrivals, all the conventional techniques reserved to static databases modeling and recognition are doomed to failure. For this purpose, a new technique based on the experience was investigated giving very promising results. This technique is related to the case-base
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Dataspaces: Where Structure and Schema Meet,he process of organizing (getting the structure of) unstructured data. We survey the existing techniques behind dataspaces to overcome that need, exploring the structure of a dataspace along three dimensions: ., . and .. We will further explore existing projects focusing on dataspaces, induction of
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A Hybrid Binarization Technique for Document Images,ther on finding an appropriate global threshold or adapting a local threshold for each area in order to remove smear, strains, uneven illumination etc. Here, a hybrid approach is presented that first applies a global thresholding technique and, then, identifies the image areas that are more likely t
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