Auflistung nach Autor:in "Babalou, Samira"
1 - 3 von 3
Treffer pro Seite
Sortieroptionen
- KonferenzbeitragOn which legal regulations is a public service based? Fostering transparency in public administration by using knowledge graphs(INFORMATIK 2023 - Designing Futures: Zukünfte gestalten, 2023) Feddoul, Leila; Raupach, Maximilian; Löffler, Felicitas; Babalou, Samira; Hoyer, Jonas; Mauch, Marianne; König-Ries, BirgittaKnowledge about digitization in the public administration is complex and scattered. Information about legal regulations, methods, processes, APIs, metadata and data standards, registers, and terminologies are spread across different platforms. Hence, it is difficult for employees, developers, and decision makers to figure out what data standards, formats, and APIs are relevant for the digitization of a specific public service. Training administrative employees and IT companies requires to gather and link the required knowledge first in a well-structured and accessible manner. We address this need for more shared and transparent knowledge in the digitization of public services in Germany. We propose a first version of an ontology (GerPS-onto) for public administration instantiated by one example german public service. We utilize semantic modelling and Linked Data technologies to enable appropriate data and process descriptions that are readable for humans and machines. We also demonstrate how an existing process description of a public service can be linked to existing terminologies and evaluate the resulting ontology using domain-specific competency questions that are translated to SPARQL queries.
- KonferenzbeitragA Provenance Management Framework for Knowledge Graph Generation in a Web Portal(BTW 2023, 2023) Kleinsteuber, Erik; Babalou, Samira; König-Ries, BirgittaKnowledge Graphs (KGs) are the semantic backbone for a wide variety of applications in different domains. In recent years, different web portals providing relevant functionalities for managing KGs have been proposed. An important functionality such portals is provenance data management of KG generation process. Capturing, storing, and accessing provenance data efficiently are complex problems. Solutions to these problems vary widely depending on many factors like the computational environment, computational methods, desired provenance granularity, and much more. In this paper, we present one possible solution: a new framework to capture coarse-grained workflow provenance of KGs during creation in a web portal. We capture the necessary information of the KG generation process; store and retrieve the provenance data using standard functionalities of relational databases. Our captured workflow can be rerun over the same or different input source data. With this, the framework can support four different applications of provenance data: (i) reproduce the KG, (ii) create a new KG with an existing workflow, (iii) undo the executed tools and adapt the provenance data accordingly, and (iv) retrieve the provenance data of a KG.
- TextdokumentTowards a Semantic Toolbox for Reproducible Knowledge Graph Generation in the Biodiversity Domain - How to Make the Most out of Biodiversity Data(INFORMATIK 2021, 2021) Babalou, Samira; Schellenberger Costa, David; Kattge, Jens; Römermann, Christine; König-Ries, BirgittaKnowledge Graphs are widely regarded as one of the most promising ways to manage and link information in the age of Big Data. Their broad uptake is still hindered by the large effort required to create and maintain them, though. In this paper, we propose the creation of a semantic toolbox that will support data owners in transforming their databases into reproducible, dynamically extendable knowledge graphs that can be integrated and jointly used. We showcase the need, potential benefits and first steps towards the solution in our example domain, biodiversity research.