3 - Publication references (without full text)

Knowledge Discovery and Data Mining (KDD) is a very wellestablished research field with useful techniques that explore patterns and regularities in large relational, structured and unstructured datasets. Theoretical and practical development in this field have led to useful and scalable solutions for the tasks of pattern mining, clustering, graph mining, and predictions. In this paper, we demonstrate that these approaches represent great potential to solve a series of problems and make further optimizations in the setting of Web APIs, which have been significantly increasing recently. In particular, approaches integrating Web APIs and Linked Data, also referred to as Linked APIs, provide novel opportunities for the application of synergy approaches with KDD methods. We give insights on several aspects that can be covered through such synergy approach, then focus, specifically, on the problem of API usage mining via statistical relational learning.We propose a Hidden Relational Model, which explores the usage of Web APIs to enable analysis and prediction. The benefit of such model lies on its ability to capture the relational structure of API requests. This approach might help not only to gain insights about the usage of the APIs, but most importantly to make active predictions on which APIs to link together for creating useful mashups, or facilitating API composition.

This paper presents iService, a platform which addresses the inferiority of computing technology in certain problem domains (like identifying objects in photos or videos or researching data details), by enabling a simple, scalable and on-demand access to human intelligence in the form of Semantic Web Services by using the Web as a platform and common mobile devices as user interface.

Research often portrays women as weaker entrepreneurs in the hospitality and tourism (H&T) industry. Our systematic literature review sheds light on women's entrepreneurial success in H&T by examining four determining factors to success (or failure) for women's entrepreneurship: (1) motivations that lead women to become entrepreneurs, (2) barriers they face, (3) non-government strategies, and (4) governmental policies. Our findings suggest that financial and legal support, training, political, social, and cultural backing are among the consistent success factors examined in previous studies. However, scholarship is silent on how the four key themes can be aligned to support women to succeed in H&T entrepreneurship. As a key contribution, this systematic literature review provides a template for future research that starts from the identifiable success factors. In addition, this work provides practitioners such as policymakers and industry leaders with a better understanding of how to reduce barriers to women's entrepreneurship.

This paper descibes an enhancement of IO-Link Wireless with an additional safety and security communication layer employing the black channel principle to fulfill safety requirements with respect to IEC 61784-3:2021. An extended channel model based on uniformly distributed segments (UDS) superimposed with the binary symmetric channel (BSC) is applied to simplify the residual error probability (REP) calculation, to detect additional error patterns, and to consider BSC-preserving cryptographic algorithms. Also, the REP with respect to the underlying security layer as well as the probability of failure per hour (PFH) are quantified.

To ensure a high quality of service for industrial radio systems, frequency planning is indispensable. Frequency monitoring is very advantageous for minimizing possible collisions in the exchanged data packets and for quickly detecting unwanted interferers. Spectrum analyzers currently available on the market for the ISM band are significantly above the price level of the radio systems used. The measurement data and analyses from these measurement systems are also not made available online. The fast spectrum monitoring system is intended to remedy this situation. In addition to continuous online monitoring of the 2.45 GHz ISM band, it offers the possibility of providing evaluations and analyses of occupied frequency channels with low latency. In addition, detected radio systems can be quickly classified and interferers extracted. The analysis results can be transmitted directly to the operational radio systems using suitable communication interfaces or made available in the cloud for long-term evaluations. The development was based on the premise of combining this system with an IO-Link wireless system. The focus was on the rapid provision of analysis results from radio systems with fast frequency changes, as is typical for Bluetooth. With the help of this analysis data, the possible uses in the area of safety & security applications should also be discussed.