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  1. No Access

    Chapter and Conference Paper

    GOLDCASE: A Generic Ontology Layer for Data Catalog Semantics

    Data catalogs automatically collect metadata from distributed data sources and provide a unified and easily accessible view on the data. Many existing data catalog tools focus on the automatic collection of te...

    Johannes Schrott, Sabine Weidinger, Martin Tiefengrabner in Metadata and Semantic Research (2023)

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    Chapter and Conference Paper

    Using Property Graphs to Segment Time-Series Data

    Digitization of industrial processes requires an ever increasing amount of resources to store and process data. However, integration of the business process including expert knowledge and (real-time) process d...

    Aleksei Karetnikov, Tobias Rehberger in Database and Expert Systems Applications -… (2022)

  3. No Access

    Chapter and Conference Paper

    Data Integration, Management, and Quality: From Basic Research to Industrial Application

    Data integration, data management, and data quality assurance are essential tasks in any data science project. However, these tasks are often not treated with the same priority as core data analytics tasks, su...

    Lisa Ehrlinger, Christian Lettner in Database and Expert Systems Applications -… (2022)

  4. No Access

    Chapter and Conference Paper

    Steering Drivers of Change: Maximising Benefits of Trustworthy IoT

    The collaborative activities of a diverse range of partners have resulted in a variety of assets directed towards trustworthy IoT and its integration into autonomous driving and Industry 4.0 applications. This...

    Omar Veledar, Eric Armengaud in Systems, Software and Services Process Imp… (2021)

  5. Chapter and Conference Paper

    General Model for Tracking Manufacturing Products Using Graph Databases

    One of the major problems in the manufacturing industry consists of the fact that, when manufacturing a product, many parts from different lots are supplied and mixed to a certain degree during an indeterminat...

    Jorge Martinez-Gil, Reinhard Stumptner in Data-Driven Process Discovery and Analysis (2020)

  6. No Access

    Chapter and Conference Paper

    A DaQL to Monitor Data Quality in Machine Learning Applications

    Machine learning models can only be as good as the data used to tra...

    Lisa Ehrlinger, Verena Haunschmid in Database and Expert Systems Applications (2019)

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    Chapter and Conference Paper

    Design and Implementation of a Graph-Based Solution for Tracking Manufacturing Products

    One of the major problems in the manufacturing industry consists of the fact that many parts from different lots are supplied and mixed to a certain degree during an indeterminate number of stages, what makes ...

    Jorge Martinez-Gil, Reinhard Stumpner in New Trends in Databases and Information Sy… (2019)

  8. No Access

    Chapter and Conference Paper

    A Practical Approach for Process Mining in Production Processes

    Processes are the core of an enterprise and describe the interconnection of tasks in daily business. The purpose of this article is to present methods and tools that enable extraction of processes based on the...

    Christine Natschläger, Felix Kossak in Innovations in Enterprise Information Syst… (2017)

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    Chapter and Conference Paper

    Maintaining and Analyzing Production Process Definitions Using a Tree-Based Similarity Measure

    In this work a Case-Based reasoning system for managing production processes, declarative production process definitions in particular, with main focus on analysis and maintenance is introduced whereby each pr...

    Reinhard Stumptner, Christian Lettner in Case-Based Reasoning Research and Developm… (2015)

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    Chapter and Conference Paper

    Combining Relational and NoSQL Database Systems for Processing Sensor Data in Disaster Management

    In disaster and emergency management the integration of different kinds of sensor networks gains in importance and consequently more and more data becomes available. The upcoming NoSQL database systems are fle...

    Reinhard Stumptner, Christian Lettner in Computer Aided Systems Theory – EUROCAST 2… (2015)

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    Chapter and Conference Paper

    Combining Stream Processing Engines and Big Data Storages for Data Analysis

    We propose a system combining stream processing engines and big data storages for analyzing large amounts of data streams. It allows us to analyze data online and to store data for later offline analysis. An e...

    Thomas Steinmaurer, Patrick Traxler, Michael Zwick in Foundations of Intelligent Systems (2014)

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    Chapter and Conference Paper

    An Approach on ETL Attached Data Quality Management

    This contribution introduces an approach on ETL attached Data Quality Management by means of an autonomous Data Quality Monitoring System. The Data Quality Monitor can be attached (via light-weight connectors)...

    Christian Lettner, Reinhard Stumptner in Data Warehousing and Knowledge Discovery (2014)

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    Article

    Do metal concentrations in moss from the Zackenberg area, Northeast Greenland, provide a baseline for monitoring?

    This study aims at evaluating (a) whether concentrations of a suite of elements in mosses sampled in the arctic region around Zackenberg reflect background concentrations useful for estimating pollution levels...

    Harald G. Zechmeister, Stefan Dullinger in Environmental Science and Pollution Resear… (2011)

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    Article

    Sympatric diploid and hexaploid cytotypes of Senecio carniolicus (Asteraceae) in the Eastern Alps are separated along an altitudinal gradient

    We explored the fine-scale distribution of cytotypes of the mountain plant Senecio carniolicus along an altitudinal transect in the Eastern Alps. Cytotypes showed a statistically significant altitudinal segregati...

    Peter Schönswetter, Margarita Lachmayer, Christian Lettner in Journal of Plant Research (2007)

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    Chapter and Conference Paper

    Implementing Automated Analyses in an Active Data Warehouse Environment Using Workflow Technology

    A major goal of active data warehouses is to automatically perform analysis tasks. However, this goal is only insufficiently implemented in current active data warehousing architectures. For end-users, it is n...

    Michael Zwick, Christian Lettner in Trends in Enterprise Application Architect… (2007)