http://dl.gi.de/handle/20.500.12116/21101 2026-07-22T23:55:51Z http://dl.gi.de/handle/20.500.12116/2040 A conceptual architecture for an event-based information aggregation engine in smart logitics Baumgrass, Anne; Cabanillas, Cristina; Ciccio, Claudio Di Kolb, Jens; Leopold, Henrik; Mendling, Jan The field of Smart Logistics is attracting interest in several areas of research, including Business Process Management. A wide range of research works are carried out to enhance the capability of monitoring the execution of ongoing logistics processes and predict their likely evolvement. In order to do this, it is crucial to have in place an IT infrastructure that provides the capability of automatically intercepting the digitalised transportation-related events stemming from widespread sources, along with their elaboration, interpretation and dispatching. In this context, we present here the service-oriented software architecture of such an event-based information engine. In particular, we describe the requisites that it must meet. Thereafter, we present the interfaces and subsequently the service-oriented components that are in charge of realising them. The outlined architecture is being utilised as the reference model for an ongoing European research project on Smart Logistics, namely GET Service. 2015-01-01T00:00:00Z http://dl.gi.de/handle/20.500.12116/2039 Using content analysis for privacy requirement extraction and policy formalization Rinderle-Ma, Stefanie; Ma, Zhendong; Madlmayr, Bernhard Kolb, Jens; Leopold, Henrik; Mendling, Jan Privacy in cyberspace is a major concern nowadays and enterprises are required to comply with existing privacy regulations and ensure a certain level of privacy for societal and user acceptance. Privacy is also a multidisciplinary and mercury concept, which makes it challenging to define clear privacy requirements and policies to facilitate compliance check and enforcement at the technical level. This paper investigates the potential of using knowledge engineering approaches to transform legal documents to actionable business process models through the extraction of privacy requirements and formalization of privacy policies. The paper features two contributions: A literature review of existing privacy engineering approaches shows that semi-automatic support for extracting and modeling privacy policies from textual documents is often missing. A case study applying content analysis to five guideline documents on implementing privacy-preserving video surveillance systems yields promising first results towards a methodology on semi-automatic extraction and formalization of privacy policies using knowledge engineering approaches. 2015-01-01T00:00:00Z http://dl.gi.de/handle/20.500.12116/2035 Business process modeling support by depictive and descriptive diagrams Koschmider, Agnes; Caporale, Timm; Fellmann, Michael; Lehner, Jonas; Oberweis, Andreas Kolb, Jens; Leopold, Henrik; Mendling, Jan The design of a “good” business process model is a time-consuming and error-prone task and requests high training effort from the process modeler. These barriers might be a reason why business processes are often designed with software tools, which were not intentionally developed for this purpose, but are highly familiar for the process modeler (e.g., add-ins for MS Office family) and thus a process model can be quickly designed. As consequence of such a tool choice for process modeling the variety of techniques available for Business Process Management cannot be exploited. To mitigate this situation, we first examine approaches aiming to support business process modeling more intuitively. We then suggest the introduction of an additional layer to business process models with depictive diagrams that are not bounded to a concrete process modeling language or descriptive diagrams using natural language text. We then show how such a layer can be aligned with common process modeling languages and thus provides a seamless integration with more advanced Business Process Management languages and tools. We expect that our approach will fertilize techniques facilitating business process modeling for all types of process modelers including business experts with limited experience of process modeling. 2015-01-01T00:00:00Z http://dl.gi.de/handle/20.500.12116/2038 An enhanced communication concept for business processes Kossak, Felix; Geist, Verena Kolb, Jens; Leopold, Henrik; Mendling, Jan Simple communication patterns often do not suffice for modelling the interplay between different business processes. In this paper, we introduce and formally specify an event-based communication concept for business process modelling, constituted by event trigger properties and event pools. We claim that this concept provides a much bigger scope for modelling communication than currently available concepts, particularly when actor and user interaction modelling are included. 2015-01-01T00:00:00Z