Multilingualität und Linked Data

Cimiano P, Unger C. Multilingualität und Linked Data. In: Pellegrini T, Sack H, Auer S, eds. Linked Enterprise Data. Management und Bewirtschaftung vernetzter Unternehmensdaten mit Semantic Web Technologien. Berlin, Heidelberg: Springer; 2014: 153-175

Interaction Network Analysis Using Semantic Similarity Based on Translation Embeddings

Biomedical knowledge graphs such as STITCH, SIDER, and Drugbank provide the basis for the discovery of associations between biomedical entities, e.g., interactions between drugs and targets. Link prediction is a paramount task and represents a building block for supporting knowledge discovery. Although several approaches have been proposed for effectively predicting links, the role of semantics has not been studied in depth. In this work, we tackle the problem of discovering interactions between drugs and targets, and propose SimTransE, a machine learning-based approach that solves this problem effectively. SimTransE relies on translating embeddings to model drug-target interactions and values of similarity across them. Grounded on the vectorial representation of drug-target interactions, SimTransE is able to discover novel drug-target interactions. We empirically study SimTransE using state-of-the-art benchmarks and approaches. Experimental results suggest that SimTransE is competitive with the state of the art, representing, thus, an effective alternative for knowledge discovery in the biomedical domain

Simple-ML: Towards a Framework for Semantic Data Analytics Workflows

In this paper we present the Simple-ML framework that we develop to support efficient configuration, robustness and reusability of data analytics workflows through the adoption of semantic technologies. We present semantic data models that lay the foundation for the framework development and discuss the data analytics workflows based on these models. Furthermore, we present an example instantiation of the Simple-ML data models for a real-world use case in the mobility domain. © 2019, The Author(s)

Preface of the Joint proceedings of the Poster & Demo Track and Workshop on ontology-driven conceptual modelling of digital twins co-located with SEMANTiCS 2021, 6th-9th of September 2021, Amsterdam, the Netherlands

This volume contains the proceedings of the Poster and Demo Track of the 17th International Conference on Semantic Systems, SEMANTiCS 2021, and the Workshop on Digital Twins, which took place from September 6 - 9, 2021 in Amsterdam, The Netherlands. SEMANTiCS is the annual meeting place for professionals who make semantic computing work, who understand its benefits and encounter its limitations. Every year, SEMANTiCS attracts information managers, IT architects, software engineers and researchers from organisations ranging from research facilities, NPOs, through public administrations to the largest and/or most innovative companies in the world