Fraunhofer-Institut für Angewandte Informationstechnik FIT

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  • Publication
    Semantics in Dataspaces: Origin and Future Directions
    ( 2023)
    Theissen-Lipp, Johannes orcid-logo
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    Kocher, Max
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    Lange-Bever, Christoph orcid-logo
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    Decker, Stefan
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    Paulus, Alexander
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    Pomp, André
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    Curry, Edward
    The term dataspace was coined two decades ago and has evolved since then. Definitions range from (i) an abstraction for data management in an identifiable scope over (iii) a multi-sided data platform connecting participants in an ecosystem to (iii) interlinking data towards loosely connected (global) information. Many implementations and scientific notions follow different interpretations of the term dataspace, but agree on some use of semantic technologies. For example, dataspaces such as the European Open Science Cloud and the German National Research Data Infrastructure are committed to applying the FAIR principles. Dataspaces built on top of Gaia-X are using semantic methods for service Self-Descriptions. This paper investigates ongoing dataspace efforts and aims to provide insights on the definition of the term dataspace, the usage of semantics and FAIR principles, and future directions for the role of semantics in dataspaces.
  • Publication
    SASP: a Semantic web-based Approach for management of Sharable cybersecurity Playbooks
    ( 2022-08)
    Akbari Gurabi, Mehdi orcid-logo
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    Mandal, Avikarsha
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    Popanda, Jan
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    Rapp, Robert
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    Decker, Stefan
    In incident management, response and recovery actions are designed to effectively mitigate ongoing or future cyberattacks. A security playbook consists of a pipeline of instructions to document necessary response and recovery actions to deal with a specific type of incident. Since many organisations lack the resources, expertise and know-how to handle incidents, sharing playbooks across organisations could significantly improve their response capabilities against cyberattacks. However, playbooks are often organisation specific and usually not machine-readable, sharable and interoperable. In this work, we propose a semantic web-based approach to capture the knowledge of incident response and recovery steps to support sharing of playbooks based on a standardised and common vocabulary. To further demonstrate our approach, we introduce SASP, a proof-of-concept tool based on Semantic MediaWiki for playbook management. In this paper, we describe the key requirements from incident handlers to share playbooks, SASP architecture design, and its core components and functionalities. We then discuss the results of our user-centric evaluation conducted on members of different Security Operation Centres and the further potential of the solution.
  • Publication
    Towards a FAIR sharing of scientific experiments: Improving discoverability and reusability of dielectric measurements of biological tissues
    ( 2017)
    Rezaul Karim, M.
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    Heinrichs, Matthias
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    Gleim, Lars C.
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    Cochez, Michael
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    Porter, Emily
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    Gioia, Alessandra la
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    Salahuddin, Saqib
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    O'Halloran, Martin
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    Decker, Stefan
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    Beyan, Oya
    Experiments on the dielectric properties of biological tissues generate data that characterizes the interaction of human tissues with electromagnetic fields. This data is vital for designing electromagnetic-based therapeutic and diagnostic technologies, and for assessing the safety of wireless devices. Despite the importance of the data, poor reporting and lack of metadata impede its reuse and forgo interoperability. Recently, the minimum information model for reporting Dielectric Measurements of Biological Tissues (MINDER) has been developed as a common framework. In this work, we have developed a metadata model and implemented a data sharing framework to improve findability and reproducibility of experimental data inspired by FAIR principles. We define a process for sharing the reported data and present tools to support rich metadata generation based on existing community standards. The developed system is evaluated against competency questions collected from data consumers, and thereby proven to help to interpret and compare data across studies.