DSNotify – A solution for event detection and link maintenance in dynamic datasets

The dynamics of linked datasets may lead to broken links if data providers do not react to changes appropriately. Such broken links denote interrupted navigational paths between resources and may lead to unavailability of data. As a possible solution, we developed DSNotify, an event-detection framework that informs actors about various types of changes and allows them to maintain links to resources in distributed linked data sets. For representing changes we developed the DSNotify Eventset Vocabulary. Different from other vocabularies it applies a resource-centric perspective and preserves the timely order of changes. We further describe our reusable evaluation infrastructure, which can be extended for extracting change sets from arbitrary linked datasets.     

Conformance Testing of Hybrid Systems with Qualitative Reasoning Models

Embedded systems are of growing importance in industry. For example, in a today's vehicle a huge number of embedded and communicating systems can be found. Exhaustive testing of such systems is a requirement, because changes after delivery and use are expensive and sometimes even impossible. In this paper we propose the use of qualitative models, which are an abstraction of quantitative physical models, for test case generation and test execution. In particular, we show how Simulink models from which control programs are automatically extracted can be tested with respect to qualitative models. Since Simulink models are heavily used in industry, the approach is of practical interest.     

Creation of journal-based publication profiles of scientific institutions — A methodology for the interdisciplinary comparison of scientific research based on the J-factor

A form of normalisation is presented for the evaluation of citation data on multidisciplinary research. This method is based on the existing classification according to the publishing journals and not on the classification of output according to ISI subject categories. A publication profile is created for each institution to be investigated. This profile accounts for the weight of publications in a journal, represented by the number of publications as a proportion of the total output of the institution. In accordance with this weight, the citation rate of each journal is compared to a qualified relative indicator. The final result is a relative citation rate J, which is the relative perception of the performance of an institution accounting for its publication and citation habits and makes a transdisciplinary comparison possible.     

CrypTool — Ein Open-Source-Projekt in der Praxis

Zusammenfassung  Nur wenige Open-Source-Projekte k?nnen auf einen Entwicklungszeitraum von mehr als 10 Jahren zurückblicken. CrypTool ist ein solches Projekt und hat das gesamte Spektrum von unternehmensinterner Entwicklung über Freeware zu Open-Source erlebt. Wie hat sich Cryp-Tool zu einem erfolgreichen Open-Source-Projekt entwickelt?     

Efficient Recovery of Zn and Fe from Steel Mill Residues with the RecoDust-Process

For every industrial process, the enhancement of efficiency and effectiveness is always a topic. Especially new processes have to be highly efficient concerning energy consumption and costs. With RecoDust there is a new recycling process in pilot plant status that fulfils nearly all demands on an efficient and effective process.     

Guest editorial: First-order knowledge discovery in databases

In this editorial we briefly discuss past research on discovering first-order-logic patterns in databases. After a short introduction on the fields of Knowledge Discovery in Databases (KDD) and Inductive Logic Programming (ILP), we highlight some important areas of current research in the intersection of these two areas. Our goal is to provide readers that are not experts in these areas with a minimal background that will help them put the four contributions in the remainder of this special issue into the proper context.     

Identification and quantification of fungi and mycotoxins from Pu-erh tea

Pu-erh tea originates from the province of Yunnan in south-western China. As this tea is produced by so called Aspergillus post-fermentation the question arises which molds and mycotoxins may be found in this tea. In total 36 samples of Pu-erh tea were investigated for their content of filamentous fungi and the mycotoxins aflatoxins B₁, B₂, G₁, and G₂, fumonisins B₁, B₂, and B₃, and ochratoxin A. Fungi were isolated from all samples in a concentration of 1.0 × 10¹ to 2.6 × 10⁶ colony forming units (cfu)/g tea, all together 19 fungal genera and 31 species were identified. The most prevalent species were Aspergillus acidus and Aspergillus fumigatus, followed by Zygomycetes and Penicillium species. Aflatoxins and fumonisins were not found in the samples investigated, ochratoxin A was detected in 4 of 36 teas (11.1%).