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7 Papers

Enable Business Users to Embed Dynamic Database Content in Existing Web-Based Systems Using Web Components and Generic Web Services

Topics: Web Programming; Web Tools and Languages; Web based Integration Technologies, Web Services, REST and CRUD services; Web Interfaces and Applications; Technical Infrastructures Suporting Web Applications

Authors: Andreas Schmidt 1 ; 2 and Tobias Münch 3 ; 4

Affiliations: 1 Institute for Automation and Applied Computer Science, Karlsruhe Institute of Technology (KIT), Karlsruhe, Germany , 2 Department of Computer Science and Business Information Systems, Karlsruhe University of Applied Sciences, Karlsruhe, Germany , 3 M¨unch Ges. f¨ur IT Solutions mbH, Gewerbering 1, 49393 Lohne, Germany , 4 Chemnitz University of Technology, Chemnitz, Germany

Digital Object Identifier: 10.5220/0013000000003825

Proceedings of WEBIST 2024, ISBN: 978-989-758-718-4

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In our digitalized world and under the economic pressure of competition, every company must react flexibly to opportunities and problems that arise. One way to cope with these challenges is to use web-based Enterprise Resource Planning (ERP) or Customer Relationship Management (CRM) Systems, which provide significant functionality inside their system range. Third-party systems often have to be integrated with ERP or CRM systems but cannot be connected, for instance, because of limited Application Programming Interfaces (API) or data structures. Therefore, such tasks are complex and time-consuming and must be done by software engineers, who are limited resources in today’s enterprise context. However, HTML documents can be integrated with web-based systems such as ERP or CRM, and HTML creation is not limited to the software engineering workforce. Our low-code environment, which is based on W3C web components standards and RESTful web services with state-of-the-art authentication approaches, could solve the shortage because we empower business developers to embed dynamic database content declaratively in static HTML pages or web-based systems such as WordPress or SoftEngine ERP-Suite. Our system also allows the declarative integration of forms for creating/modifying and deleting data records (CRUD functionality). The low-code web components access the database via the RESTful service. The API of the RESTful service abstracts the database manufacturer-specific characteristics, such as the storage format of the metadata.

FAIRlead: A Conceptual Framework for a Model Driven Software Development Approach in the Field of FAIR Data Management

Topics: Ontologies; Management and Organisational Issues in Information Systems; Tools and Technologies for Knowledge Management; Development Frameworks

Authors: Andreas Schmidt 1 ; 2 , Mohamed Anis Koubaa 1 , Nan Liu 1 , Philipp Schmurr 1 , Karl-Uwe Stucky 1 and Wolfgang Süß 1

Affiliations: 1 Institute for Automation and Applied Computer Science, Karlsruhe Institute of Technology (KIT), Karlsruhe, Germany , 2 Department of Computer Science and Business Information Systems, Karlsruhe University of Applied Sciences, Karlsruhe, Germany

Digital Object Identifier: 10.5220/0013013700003838

Proceedings of KMIS 2024, ISBN: 978-989-758-716-0

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The publication of scientific results together with the underlying experiments is an important source of further research. In 2016, the “FAIR Guiding Principles for scientific data management and stewardship” were published, in which the authors postulate a series of guidelines for improving the (F)indability, (A)ccessibility, (I)nteroperability and (R)eusability of digital information (FAIR). The point (I)nteroperability deals with the prerequisites for the reusability of digital objects. The central point here is the need to have a common understanding of the meaning of digital objects. This understanding is provided by formal languages of knowledge representation (ontologies), which describe the actual data. These descriptions of data are also known as metadata. As part of our current work at the Institute for Automation and Applied Computer Science (IAI) at KIT, we are implementing novel concepts and technologies for the sustainable handling of research data using high-quality metadata. As part of this work, we plan to develop a software tool that can be used to enrich data with suitable metadata and thus automate the process of making research results available. A key requirement is that the tool must be independent of the underlying domain. In order to be able to deal with data from any domain, we have opted for a model-driven approach in which an ontology, and possibly other platform-specific information, are input for a software generator, which then generates an (interactive) tool for specifying the metadata and linking it to the data itself. The generated tool includes the complete software stack, starting with a user interface, programmatic APIs for connecting additional application logic, and a persistence component. How these individual layers are realized is not specified, but defined by the mapping rules of the software generator, which also opens up the possibility of generating and evaluating different variants of the software.

Performing Entity Relationship Model Extraction from Data and Schema Information as a Basis for Data Integration

Topics: Ontologies; Enterprise Information Systems; KM Strategies and Implementations ; Tools and Technologies for Knowledge Management

Authors: Philipp Schmurr , Andreas Schmidt , Karl-Uwe Stucky , Wolfgang Suess and Veit Hagenmeyer

Affiliation: Institute for Automation and Applied Informatics, Karlsruhe Institute of Technology, Kaiserstr. 12, Karlsruhe, Germany

Digital Object Identifier: 10.5220/0013012600003838

Proceedings of KMIS 2024, ISBN: 978-989-758-716-0

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The goal of this work is to allow domain experts to properly perform data integration themselves and not to rely on external resources. This way the long-term data integration quality is not endangered and therefore cost for external resources can be saved. To achieve this, we propose a new approach that enables data integration based on entity-relationship (ER) models derived from arbitrary data sources. ER models are abstract and simply define all entities and relations needed for integration, which makes them easy to understand. Strategies to extract ER models from various standard data sources - relational databases, XML files and OWL data are presented and a concept on how to extend it to arbitrary other data sources is introduced. Furthermore, the extracted models are a foundation to perform graphical data integration into an ontology based model and, thus, contribute to a harmonized knowledge management in heterogeneous data and information environments. It can be summarized as a strategy to improve the interoperability of existing data according to the FAIR principles.

ZeitGeist: A Generic Tool Supporting the Dissemination of Time Series Data Following FAIR Principles

Topics: Best Practices & Communities of Practice; Information Technology and Information System Research; Management and Organisational Issues in Information Systems

Authors: Andreas Schmidt 1 ; 2 , Mohamad Koubaa 1 , Jan Schweikert 1 , Karl-Uwe Stucky 1 , Wolfgang Süß 1 and Veit Hagenmeyer 1

Affiliations: 1 Institute for Automation and Applied Informatics, Karlsruhe Institute of Technology, Karlsruhe, Germany , 2 Department of Computer Science and Business Information Systems, University of Applied Sciences, Karlsruhe, Germany

Digital Object Identifier: 10.5220/0012254300003598

Proceedings of KMIS 2023, ISBN: 978-989-758-671-2

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An important point for the widespread dissemination of FAIR-data is the lowest possible entry barrier for preparing and providing data to other scientists according to the FAIR criteria. If scientists have to manually extract, transform and annotate the data according to the FAIR criteria and then export it to make it available to the public, this requires a significant investment of time that does not primarily reward the scientist who prepares and provides the data. The Energy Lab at KIT is running a large cluster of an Influx database management system with energy related time series data being stored in a variety of individual databases over periods of up to 15 years. In order to increase the willingness to make data available to the scientific public, we develop a tool that greatly supports and automates the publication and annotation process of time series data stored in Influx databases.

Taming the Evolution of Big Data and its Technologies in BigGIS - A Conceptual Architectural Framework for Spatio-Temporal Analytics at Scale

Topics: Geospatial Architectures and Middleware; Big Data and GIS

Authors: Patrick Wiener 1 , Viliam Simko 2 and Jens Nimis 1

Affiliations: 1 Karlsruhe University of Applied Sciences, Germany , 2 FZI Research Center for Information Technology, Germany

Digital Object Identifier: 10.5220/0006334200900101

Proceedings of GISTAM 2017, ISBN: 978-989-758-252-3

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In the era of spatio-temporal big data, geographic information systems have to deal with a myriad of big data induced challenges such as scalability, flexibility or fault-tolerance. Furthermore, the rapid evolution of the underlying, occasionally competing big data ecosystems inevitably needs to be taken into account from the early system design phase. In order to generate valuable knowledge from spatio-temporal big data, a holistic approach manifested in an appropriate architectural design is necessary, which is a non-trivial task with regards to the tremendous design space. Therefore, we present the conceptual architectural framework of BigGIS, a predictive and prescriptive spatio-temporal analytics platform, that integrates big data analytics, semantic web technologies and visual analytics methodologies in our continuous refinement model.

Application-Mimes - An Approach for Quantitative Comparison of SQL - and NoSQL-databases

Topics: Simulation; Performance Evaluation and Benchmarking; Non-Relational Databases; Distributed Database Systems

Authors: Martin Kammerer and Jens Nimis

Affiliation: University of Applied Sciences Karlsruhe, Germany

Digital Object Identifier: 10.5220/0004896702560263

Proceedings of ICEIS 2014, ISBN: 978-989-758-027-7

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Due to the rise of NoSQL systems over the last years, the world of commercially applicable database systems has become much larger and heterogeneous than it was ever before. But the opportunities that are associated with the upcoming systems have also introduced a new decision problem that occurs in the information system design process. Once, benchmarking has helped to identify the proper database product among the de facto standard SQL systems. Nowadays, functional and non-functional properties of database systems and their implication on application development are so divergent that not all systems that come into account for realisation of a specific application can be covered by the same benchmark. In this paper we present an approach for experimental comparative information system evaluation that allows for well-grounded selection among diverging database systems. It is based on the concept of so-called application-mimes, i.e. functionally restricted implementations that focus exclusively on the information systems’ interaction with data management and try to mimic the target systems behaviour in this respect as realistic as possible.
Collapse Button Related Ontology Subjects/Areas/Topics (13)
Agents

Distributed Database Systems

Non-Relational Databases

Artificial Intelligence

Enterprise Information Systems

Operational Research

Bioinformatics

Information Systems Analysis and Specification

Performance Evaluation and Benchmarking

Biomedical Engineering

Methodologies and Technologies

Simulation
Databases and Information Systems Integration

NAVIGATION ALONG DATABASE RELATIONSHIPS - An Adaptive Framework for Presenting Database Contents as Object Graphs

Topics: Searching and Browsing; Multimedia and User Interfaces; Usability and Ergonomics

Authors: Ahmet Atli 1 , Katja Nau 1 and Andreas Schmidt 2

Affiliations: 1 Karlsruhe Institute of Technology, Germany , 2 University of Applied Sciences Karlsruhe, Germany

Digital Object Identifier: 10.5220/0003402703720379

Proceedings of WEBIST 2011, ISBN: 978-989-8425-51-5

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In this paper, we will present an approach to visualizing arbitrary relational database contents in the form of object graphs via the World Wide Web. The focus is on the relationships between the datasets rather than on the data itself. The tool allows definition of different node types representing the datasets and edges representing the foreign keys and relationship tables in the database schema. Each node type has a label, and optionally a short description and a user definable image associated with it. The information for these fields can be extracted 1 : 1 from the corresponding database tables or otherwise be aggregated from different tables. Along the edges, it is possible to navigate through the content of the database. At any time, exactly one node represents the center of the object graph. Starting from this graph, edges and other nodes down to a user-definable depth n are visualized. The depth n may vary along different node and edge types, so that it is possible to customize the representation of the object graph. The graphical representation of arbitrary database contents has been of great help to us. In addition to using it in the initial application area, we intend to use it in some other areas we had left unconsidered. From these, we can infer a number of suggestions as to how to improve our tool and make it more universal.
Collapse Button Related Ontology Subjects/Areas/Topics (5)
Multimedia and User Interfaces

Usability and Ergonomics

Web Interfaces and Applications
Searching and Browsing

Web Information Systems and Technologies

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