DBpedia is a central hub of Linked Open Data (LOD). Being based on crowd-sourced contents and heuristic extraction methods, it is not free of errors. In this paper, we study the application of unsupervised numerical outlier detection methods to DBpedia, using Interquantile Range (IQR), Kernel Density Estimation (KDE), and various dispersion estimators, combined with different semantic grouping ...

In order to achieve a better understanding of FLOSS social structure, we need a definition of social position. From a theoretical perspective, we propose to think the participation as a trajectory. Empirically, we use optimal matching to build a typology of participation trajectories based on KDE email archives. We show how these trajectories structure the community as a whole by combining thes...

In this paper we propose KDE model for object segmentation on the basis of graph cut and density estimation. In this approach in the initial phase, the saliency map based graph cut is exploited to obtain an initial segmentation result. In the second phase iterative seed adjustment method results further segmentation and then exploits a balancing update scheme of segment refinement. And also it ...

The paper presents the results of investigation applicability spatiotemporal kernel density estimation (KDE) methods for mapping violent crime in Lithuania. Spatiotemporal research helps to understand and control specific types crime, thereby contributing Sustainable Development Goals. target dataset contained 135,989 records events registered by police Lithuania from 2015–2018 that were classi...

We describe our work in progress aimed at implementing a multi-hat PDA. Our current prototype is based on SELinux and KDE and accepts a proximity token, in the form of a Bluetooth cellphone, as an alternative authentication method. We analyse in detail the suitability of several alternatives for the graphical environment and underlying OS and we discuss a variety of interesting implementation i...

This paper describes how a Software Quality Observatory works to evaluate and quantify the quality of an Open Source project. Such a quality measurement can be used by organizations intending to deploy an Open Source solution to pick one of the available projects for use. We offer a case description of how the Software Quality Observatory will be applied to the KDE project to document and evalu...