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Network Topology of the Euro Area Interbank Market
The rapidly increasing availability of large amounts of granular financial data, paired with the advances of big data related technologies, induces...
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Desiderata for Explainable AI in Statistical Production Systems of the European Central Bank
Explainable AI constitutes a fundamental step towards establishing fairness and addressing bias in algorithmic decision-making. Despite the large...
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TermPicker: Enabling the Reuse of Vocabulary Terms by Exploiting Data from the Linked Open Data Cloud
Deciding which RDF vocabulary terms to use when modeling data as Linked Open Data (LOD) is far from trivial. In this paper, we propose TermPicker as...
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SEPAL: Schema Enhanced Programming for Linked Data
The linked data cloud provides a large collection of interlinked data and is supposed to be seen as one, big data source. However, when developing...
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Strategies for Efficiently Keeping Local Linked Open Data Caches Up-To-Date
Quite often, Linked Open Data (LOD) applications pre-fetch data from the Web and store local copies of it in a cache for faster access at runtime....
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Analysis of schema structures in the Linked Open Data graph based on unique subject URIs, pay-level domains, and vocabulary usage
The Linked Open Data (LOD) graph represents a web-scale distributed knowledge graph interlinking information about entities across various domains. A...
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Providing Alternative Declarative Descriptions for Entity Sets Using Parallel Concept Lattices
We propose an approach for modifying a declarative description of a set of entities (e.g., a SPARQL query) for the purpose of finding alternative...
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Programming the Semantic Web
The Semantic Web changes the way we deal with data, because assumptions about the nature of the data that we deal with differ substantially from the...
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Perplexity of Index Models over Evolving Linked Data
In this paper we analyse the sensitivity of twelve prototypical Linked Data index models towards evolving data. Thus, we consider the reliability and...
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An Investigation of HTTP Header Information for Detecting Changes of Linked Open Data Sources
Data on the Linked Open Data (LOD) cloud changes frequently. Applications that operate on local caches of Linked Data need to be aware of these...
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Survey on Common Strategies of Vocabulary Reuse in Linked Open Data Modeling
The choice of which vocabulary to reuse when modeling and publishing Linked Open Data (LOD) is far from trivial. There is no study that investigates...
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Extracting the Main Content of Web Documents Based on Character Encoding and a Naive Smoothing Method
This chapter presents R2L, DANA and DANAg, a family of novel algorithms for extracting the main content (MC) of web documents. The main concept...
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A Systematic Investigation of Explicit and Implicit Schema Information on the Linked Open Data Cloud
Schema information about resources in the Linked Open Data (LOD) cloud can be provided in a twofold way: it can be explicitly defined by attaching...
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A Detailed Analysis of the Quality of Stream-Based Schema Construction on Linked Open Data
The continuously increasing volume of linked open data (LOD) is a challenge when it comes to processing this data. Using the output of an RDF graph...