Knowledge graph embedding for data mining vs. knowledge graph embedding for link prediction – two sides of the same coin?

Knowledge Graph Embeddings, i.e., projections of entities and relations to lower dimensional spaces, have been proposed for two purposes: (1) providing an encoding for data mining tasks, and (2) predicting links in a knowledge graph. Both lines of research have been pursued rather in isolation from each other so far, each with their own benchmarks and evaluation methodologies. In this paper, we argue that both tasks are actually related, and we show that the first family of approaches can also be used for the second task and vice versa. In two series of experiments, we provide a comparison of both families of approaches on both tasks, which, to the best of our knowledge, has not been done so far. Furthermore, we discuss the differences in the similarity functions evoked by the different embedding approaches.

Characterisation of the soundscape of parks and green areas through the triangulation of methodologies proposed by ISO/TS 12913-2

The management of urban spaces and environmental health has been growing in recent years, and the sound aspects were highlighted during the Coronavirus pandemic (COVID-19). Locations that generally showed noises from vehicle traffic presented a diversity of sounds, generally not perceived in everyday situations before the pandemic. Awareness of the sound impacts generated before the pandemic has provided a broad discussion between the scientific community and managers regarding developing tools to improve urban planning and environmental health in cities. This study aims to characterise the soundscape of two parks in Curitiba by triangulating evaluation methodologies proposed in the ISO/TS 12913-2 (2018). Such triangulation included the descriptive analysis of objective and subjective sound data, analysis and elaboration of sound and perception maps, providing a systemic overview of the sonic environment of the investigated parks.

The Business of Creating Games

The use of digital games and gamification has showed potential to improve many aspects of how businesses provide education and communicate with consumers. Nevertheless, there is still a requirement for better considerate of how the adoption of games and gamification would influence the process of decisionmaking for customer and organizations across different industry. This article provides a structured review of existing literature on the use of games in the business ecosystem, and seeks to consolidate findings to address research questions regarding their perception, proven efficiency, and identifies key areas for future business. The findings highlight that serious games can have positive and effective impacts in multiple areas of business, including education, decision-support, marketing and consumer outreach. They also emphasize the challenges and pitfalls of affecting serious games and gamification principles within a business context, and discuss the implications of development and evaluation methodologies on the success of a game-based solution.

A Quantitative GIS and AHP Based Analysis for Geodiversity Assessment and Mapping

In recent times, the issues of geodiversity assessment and mapping have been subject of great attention, and many evaluation methodologies, either quantitative or qualitative, have been developed. In this research, a first assessment of geodiversity in the Liguria region has been carried out, according to a quantitative method based on spatial analysis techniques implemented in a GIS environment. This method considers four diversity indices obtained by grid analysis, relevant to the four main aspects of geodiversity: geology, geomorphology, hydrogeology and pedology. The geodiversity index was calculated two times, first with a non-weighted sum, then with a weighted sum of the four diversity indices. In the second case, the weights have been assigned according to a semi-quantitative analytical hierarchy process method (AHP) based on experts’ judgment. The results show that the Liguria region is characterized by many areas with high geodiversity, most of them internationally known by geoscientists and tourists for their valuable geoheritage and for their stunning landscapes. The correspondence between these areas and the protected areas of the european Natura 2000 network suggests a link between geodiversity and biodiversity.

THE METHODOLOGY OF APPLYING THE “DATA VOLLEY” PROGRAMME OF STATISTICAL ANALYSIS WITHIN VOLLEYBALL SPORTS COMPETITIONS

In volleyball as in other sports games, the statistical analysis of the competition is considered to be an important means of diagnosing performance in order to determine parameters for targeting the training process, ideas and strategies during competitions. In recent years, the volleyball game has become more and more dynamic, being characterized by the variety of game phases and the speed at which they alternate during competitions. As a result, the game has become increasingly difficult to follow, without having available new technological methods to help the coach track the multitude of game actions for each player or the entire team. At the international level, there are several performance evaluation methodologies, but in Romania, at senior level there are not many such methods of analysis and evaluation that give us complete and objective statistics on performance. At the moment, a very effective methodology from our point of view, which can be applied in the practice of volleyball, is the „Data Volley‟ statistical analysis. This program of evaluating performance is a very complex one and offers us many opportunities. Thus, in this paper, we propose the application of this statistical analysis software in the official competitions of the volleyball game, at senior level.

Exploring the Practice of Evaluation in Corporate Venturing

Venturing activities have become a cornerstone of corporates’ innovation strategies but remain subject to high failure rates. Failure reasons comprise especially poor evaluation qualities, resulting in suboptimal resource allocations. In this study, we investigate the practice of evaluation in corporate venturing by analyzing primary data from 21 in-depth interviews with managers of internal corporate venturing (ICV) programs. We find that the evaluation elements (1) evaluation dates, (2) evaluation methodologies, and (3) evaluation bodies are not isolated — as often suggested by prior research — but interdependent by determining each other. By developing a better understanding of the specific relationships among the main evaluation elements in ICV programs, we contribute to the corporate venturing literature and provide guidance for practitioners.