Abstract. Ontology change log data is a valuable source of information which reflects the changes in the domain, the user requirements, flaws in the initial design or the need to incorporate additional information. Ontology change logs can provide operational as well as analytical support in the ontology evolution process. In this paper, we present a novel approach to deal with change representation and knowledge discovery from ontology change logs. We look into different knowledge gathering aspects to capture every single facet of ontology change. The ontology changes are formalised using a graph-based approach. The knowledgebased change log facilitates detection of similarities within different time series, discovering implicit dependencies between ontological entities and reuse of knowledge. We analyse an ontology change log graph in order to identify frequent changes that occur in ontologies over time. We identify different types of change sequences based on their order and completeness. Analysis of change logs also assists in extracting new change patterns and rules which cannot be found by simply querying or processing ontology change logs.

The paper explores how reading experience of scientific publications can be improved through interactive web content. Constructivist learning theories advertise active involvement of learners as a key requirement for successful teaching. Analogously, we argue that active involvement of readers can facilitate the process of conveying scientific research to other scholars. Today’s web technologies provide plenty of opportunities to generate interactive content. However, almost no attempts to explore these opportunities have been undertaken so far. Step by step, we discuss learning theory to demonstrate the importance of actively involving the reader. Then, we show how interactive web technology and visual media can be used to realize this involvement. By subsequently showcasing an original research result from the area of business process mining in an interactive fashion, we invite the reader to experience himself what an interactive research papers can look like. Furthermore, brief sketches of technical realization are included to encourage readers to engage in their own online publication projects.

Abstract. We report the observation of the first six months of operation after the installation of an ERP software in a group of small Italian enter-prises (some dealers of various products and one manufacturer). Before the ERP, no explicit process descriptions existed within the companies: the operations were manually performed, using office automation soft-ware or legacy programs that were not process oriented. The new ERP is equipped with a workflow engine, a number of standard processes that should be followed by the users, and a tracking system that logs the main steps of the processes. We use process mining tools to analyze the events logged by the ERP during the sales, the purchases and the manufacture cycles. Our aim is to 1) compare the ideal processes suggested by the ERP with the real paths followed by the users 2) describe the eventual adaptation of these paths, as the users became acquainted with the ERP 3) highlight critical segments in terms of time spent, iterations, etc. 4) compare the processes of different companies that are in similar business areas. The final goal is to get a better understanding of the processes and a rationalization of the operations. It must be stressed that both the ERP and the main tools used are open source, so that the process measurement is affordable even for very small (micro) enterprises.

Process mining