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Erik Bollen, Bart Kuijpers, Valeria Soliani and Alejandro Vaisman
Sensor networks are used in an increasing number and variety of application areas, like traffic control or river monitoring. Sensors in these networks measure parameters of interest defined by domain experts and send these measurements to a central locat...
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Philipp Spelten, Morten-Christian Meyer, Anna Wagner, Klaus Wolf and Dirk Reith
Integrating physical simulation data into data ecosystems challenges the compatibility and interoperability of data management tools. Semantic web technologies and relational databases mostly use other data types, such as measurement or manufacturing des...
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Chaim David and Haridimos Kondylakis
Over time, the renowned Kyoto Encyclopedia of Genes and Genomes (KEGG) has grown to become one of the most comprehensive online databases for biological procedures. The majority of the data are stored in the form of pathways, which are graphs that depict...
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Jéssica Monteiro, Filipe Sá and Jorge Bernardino
NoSQL databases were created with the primary goal of addressing the shortcomings in the efficiency of relational databases, and can be of four types: document, column, key-value, and graph databases. Graph databases can store data and relationships effi...
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Erik Bollen, Rik Hendrix, Bart Kuijpers, Valeria Soliani and Alejandro Vaisman
Transportation networks are used in many application areas, like traffic control or river monitoring. For this purpose, sensors are placed in strategic points in the network and they send their data to a central location for storage, viewing and analysis...
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Sikha S. Bagui, Dustin Mink, Subhash C. Bagui, Michael Plain, Jadarius Hill and Marshall Elam
There has been a great deal of research in the area of using graph engines and graph databases to model network traffic and network attacks, but the novelty of this research lies in visually or graphically representing the Reconnaissance Tactic (TA0043) ...
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Santiago Timón-Reina, Mariano Rincón, Rafael Martínez-Tomás, Bjørn-Eivind Kirsebom and Tormod Fladby
Applying knowledge graphs, graph analytics, and graph machine learning for integrating multi-modal dementia research data.
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Aleksandar Ivanovski, Milos Jovanovik, Riste Stojanov and Dimitar Trajanov
In this work, we present a state-of-the-art solution for automatic playlist continuation through a knowledge graph-based recommender system. By integrating representational learning with graph neural networks and fusing multiple data streams, the system ...
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Otmane Azeroual, Renaud Fabre, Uta Störl and Ruidong Qi
The use of Elastic Stack (ELK) solutions and Knowledge Graphs (KGs) has attracted a lot of attention lately, with promises of vastly improving business performance based on new business insights and better decisions. This allows organizations not only to...
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Stefano Ferilli, Eleonora Bernasconi, Davide Di Pierro and Domenico Redavid
With the progressive improvements in the power, effectiveness, and reliability of AI solutions, more and more critical human problems are being handled by automated AI-based tools and systems. For more complex or particularly critical applications, the l...
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