Titlebook: Digital Libraries and Multimedia Archives; 14th Italian Researc Giuseppe Serra,Carlo Tasso Conference proceedings 2018 Springer Internation

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Clemens Neugebauer,Martin Kölldorferishing, creating a triplification pipeline designed to be easy to automate and replicate. This was realized with open source technologies, such as the TARQL and JARQL tools that use SPARQL queries to describe the conversion of tables (CSV) or trees (JSON) into graphs (RDF data). The first challenge

Gleason-score

Fabricating the Steel Bull of Spielbergtion among the resources are reported. Using the Semantic Web technologies it is possible to improve these search functionalities introducing . as new search method. As . we intend semantic networks of events that are linked to the objects of the DLs and are endowed with a set of semantic relations

Peristalsis

Palter

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Robert Audi: Critical Engagements-specific linguistic resources, that might be unavailable for many languages. Since manually building them is costly, time-consuming and error-prone, it would be desirable to learn these resources automatically from sample texts, without any prior knowledge about the language under consideration. In

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Publishing, Copyright and Authorship,ble, multilingual information extraction framework [.]. Two years later, the project has significantly evolved, by supporting more languages and many machine learning algorithms. In this paper we present the current design of the framework and some of its applications.

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https://doi.org/10.1007/978-3-319-94445-6(MIR) technology better known to archivists and provide clear suggestions on how this technology can be used in practice. More specifically applications are discussed to complement meta-data, to link or merge digital music archives, to improve listening experiences and to re-use segmentation data. T

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Afterword: The (Trans)National Poetto build this kind of tools is structuring the digital content into relevant concepts and dependency relations among them. While the literature offers several approaches for the former, the identification of dependencies, and specifically of prerequisite relations, is still an open issue. We present