1 - 10 of 115
-
PublicationTowards Distributed Healthcare Systems - Virtual Data Pooling Between Cancer Registries as Backbone of Care and Research( 2021)German cancer registries offer a systematic approach for the collection, storage, and management of data on patients with cancer and related diseases. Much hope in research and healthcare in general is depending on such register-based analyses in order to comprehensively consider the features of a highly diverse population. Next to the data collection the cancer registries are responsible for data protection. To fulfill legal regulations, access to data has to be controlled in a strict way leading to sometimes bureaucratic and slow processes. The situation is especially complicated in Germany, since cancer data is distributed over numerous federal cancer registries. If a nationwide data evaluation is conducted a research team has to negotiate a separate contract with each cancer registry. In a joint work in progress effort of cancer registries, technical, medical, and economical experts we propose a different solution for cooperative data processing. Our approach aims for combining data in a virtual pool based on the selection criteria of individual requests from researchers. To achieve our goal, we adapt the Fraunhofer Medical Data Space as enabling technology. The architecture we propose will allow us to pool data of multiple partners regulated by data access policies. In doing so, each of the data sources can introduce its own rules and specifications on how data is used. Additionally, we add a digital consent management that will allow individual patients to decide how their data is used. Finally, we show the high potential of the cooperative analysis of distributed cancer data supported by the proposed solution in our approach.
-
PublicationCurrent Practices, Challenges, and Design Implications for Collaborative AR/VR Application Development( 2021)Augmented/Virtual Reality (AR/VR) is still a fragmented space to de- sign for due to the rapidly evolving hardware, the interdisciplinarity of teams, and a lack of standards and best practices. We interviewed 26 professional AR/VR designers and developers to shed light on their tasks, approaches, tools, and challenges. Based on their work and the artifacts they generated, we found that AR/VR application creators fulfill four roles: concept developers, interaction designers, content authors, and technical developers. One person often incorporates multiple roles and faces a variety of challenges during the design process from the initial contextual analysis to the deployment. From analysis of their tool sets, methods, and artifacts, we describe critical key challenges. Finally, we discus s the importance of prototyping for the communication in AR/VR development teams and highlight design implications for future tools to create a more usable AR/VR tool chain.
-
PublicationIncremental Discovery of Hierarchical Process Models( 2020)
-
PublicationThe International Data Spaces Information Model - An Ontology for Sovereign Exchange of Digital Content( 2020)
-
PublicationTowards Reusability in the Semantic Web. Decoupling Naming, Validation, and Reasoning( 2020)RDFS and OWL ontologies simultaneously define naming, hierarchy, syntactical data structure, and axioms. This strong coupling complicates the reusability of both ontological concepts and annotated data, due to logical pitfalls in RDFS and OWL semantics. The differences between OWL axioms and integrity constraints used for validation are often not clear to users and lead to confusing and unintended semantics in practice. To avoid these pitfalls, we revisit Tom Gruber's basic ontology definition and reimagine a more decoupled ontology design pattern, consisting of independent layers for naming, validation, and reasoning. We argue that such decoupling improves reusability because it clarifies the usage of the three layers during ontology creation and reuse. A naming layer built on synonym sets enables reusing named concepts in different contexts, detached from constraints or OWL axioms defined elsewhere. On top of that, we suggest a two-step approach of constraint checking and reasoning: Validate a term's integrity via constraints first, and only include it for reasoning if that validation succeeds. Our proposal is one step towards a clearer in-practice usage of naming, validation, and reasoning-and additionally supports this with a revised semantic layer model.
-
PublicationAn Interactive Interface for Bulk Software Deployment in IoT( 2019)Bulk software deployment is a tedious and error-prone task. This has prompted concerns by the advent of the Internet of Things (IoT) into daily lives requiring recurrent deployment of software to a large number of heterogeneous devices. This work proposes an interactive graphical user interface to simplify common software deployment activities in IoT systems. The results of laboratory usability testing show high system usefulness and overall user satisfaction.
-
PublicationUnsupervised anomaly detection in production lines( 2019)With an ongoing digital transformation towards industry 4.0 and the corresponding growth of collected sensor data based on cyber-physical systems, the need for automatic data analysis in industrial production lines has increased drastically. One relevant application scenario is the usage of intelligent approaches to anticipate upcoming failures for maintenance. In this paper, we present a novel approach for anomaly detection regarding predictive maintenance in an industrial data-intensive environment. In particular, we are focusing on historical sensor data from a real reow oven that is used for soldering surface mount electronic components to printed circuit boards. The sensor data, which is provided within the scope of the EU-Project COMPOSITION (under grant no. 723145), comprises information about the heat and the power consumption of individual fans inside a reow oven. The data set contains time-annotated sensor measurements in combination with additional process information over a period of more than seven years.
-
PublicationIdentity Management, Access Control and Privacy in Integrated Care Platforms: The PICASO Project( 2018)The PICASO (A Personalised Integrated Care Approach for Service Organisations and Care Models for Patients with Multi-Morbidity and Chronic Conditions) project provides an integration platform for the cross-organizational exchange of electronic health records and care plans to facilitate the closer integration of formal and informal carers and a personalized orchestration of care services. PICASO enables the collaboration of carers across sectors encompassing the entire care continuum from the clinical setting to a patients private home. In this work we discuss how PICASO addresses the security, privacy and trust challenges of the associated cloud based health system. FHEs that are more reliable.
-
PublicationEfficient Point-based Pattern Search in 3D Motion Capture Databases( 2018)3D motion capture data is a specific type of data arising in the Internet of Things. It is widely used in science and industry for recording the movements of humans, animals, or objects over time. In order to facilitate efficient spatio-temporal access into large 3D motion capture databases collected via internet-of-things technology, we propose an efficient 2-Phase Point-based Trajectory Search Algorithm (2PPTSA) which is built on top of a compact in-memory spatial access method. The 2PPTSA is fundamental to any type of pattern-based investigation and enables fast and scalable point-based pattern search in 3D motion capture databases. Our empirical evaluation shows that the 2PPTSA is able to retrieve the most similar trajectories for a given point-based query pattern in a few milliseconds with a comparatively low number of I/O accesses.
-
PublicationMetric Indexing for Efficient Data Access in the Internet of Things( 2018)Data are a central phenomenon in our digital information age. They impact the way we live, work, and play and provide unprecedented opportunities to simplify our daily life and behavior. They implicate enormous potential and impact society, economy, and science. Due to the advancement of cyber-physical systems and Internet of Things technologies, it is expected that the majority of real-time data will be generated from devices interconnected within the Internet of Things by the year 2025. In this paper, we tackle the problem of managing Internet of Things data in an efficient way. To this end, we introduce the metric approach for storing and querying Internet of Things data and investigate the ability of pivot-based tables for indexing and searching this type of data. Along with the introduction of two real-world, large-scale Internet of Things datasets from the EU projects COMPOSITION and MONSOON (under grant no. 723145 and 723650), we show that the metric approach facilitates efficient data access in the Internet of Things.
