Titlebook: On the Move to Meaningful Internet Systems: OTM 2019 Conferences; Confederated Interna Hervé Panetto,Christophe Debruyne,Robert Meersman Co

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0302-9743 The OTM program every year covers data and Web semantics, distributed objects, Web services, databases, information.systems, enterprise workflow and collaboration, ubiquity, interoperability, mobility, grid and high-performance computing..978-3-030-33245-7978-3-030-33246-4Series ISSN 0302-9743 Series E-ISSN 1611-3349

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Exploiting EuroVoc’s Hierarchical Structure for Classifying Legal Documentsresults on general-purpose multi-label text classification datasets. Moreover, for the EUR-Lex legal datasets, we show that exploiting the hierarchy of the EuroVoc thesaurus helps to improve classification performance by reducing the number of potential classes while retaining the informative value of the classification itself.

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Fairness-Aware Process Mining even discriminating. In this paper, we present a solution to this problem by creating a fair classifier for such situations. The undesired effects are removed at the expense of reduction on the accuracy of the resulting classifier.

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Model-Aware Clustering of Non-conforming Tracesters of non-conform traces are collected as micro-processes, which might reveal itself as significant process variants from another perspective. Handling groups of deviating objects bears much more efficacy - either countermeasures or process augmentations - than dealing with singular objects individually.

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Bank Branch Network Optimization Based on Customers Geospatial Profiles proposed. In this method, data on really dissatisfied customers is employed. Using the method, the proposed algorithm was compared with its competitor on a data set from one of the largest regional banks in Russia. It turned out, that the new algorithm usually shows better accuracy.

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MapSDI: A Scaled-Up Semantic Data Integration Framework for Knowledge Graph Creation required attributes, eliminates duplicates, and selects relevant entries. All these operators are defined based on the knowledge encoded by the mapping rules which will be then used by the semantification engine (or RDFizer) to produce a knowledge graph. We have empirically studied the impact of Ma