Prof. Dr.

Hauswirth, Manfred

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  • Publication
    Piveau: A large-scale open data management platform based on semantic web technologies
    ( 2020)
    Kirstein, Fabian
    ;
    Stefanidis, Kyriakos
    ;
    Dittwald, Benjamin
    ;
    Dutkowski, Simon
    ;
    Urbanek, Sebastian
    ;
    Hauswirth, Manfred
    The publication and (re)utilization of Open Data is still facing multiple barriers on technical, organizational and legal levels. This includes limitations in interfaces, search capabilities, provision of quality information and the lack of definite standards and implementation guidelines. Many Semantic Web specifications and technologies are specifically designed to address the publication of data on the web. In addition, many official publication bodies encourage and foster the development of Open Data standards based on Semantic Web principles. However, no existing solution for managing Open Data takes full advantage of these possibilities and benefits. In this paper, we present our solution ""Piveau"", a fully-fledged Open Data management solution, based on Semantic Web technologies. It harnesses a variety of standards, like RDF, DCAT, DQV, and SKOS, to overcome the barriers in Open Data publication. The solution puts a strong focus on assuring data quality and scalability. We give a detailed description of the underlying, highly scalable, service-oriented architecture, how we integrated the aforementioned standards, and used a triplestore as our primary database. We have evaluated our work in a comprehensive feature comparison to established solutions and through a practical application in a production environment, the European Data Portal. Our solution is available as Open Source.
  • Publication
    The European Data Portal
    ( 2019)
    Kirstein, Fabian
    ;
    Dutkowski, Simon
    ;
    Dittwald, Benjamin
    ;
    Hauswirth, Manfred
    The European Data Portal fosters the adoption and distribution of Linked Open Data by offering more than 130 million RDF triples. It applies DCAT-AP, the RDF vocabulary for public sector datasets in Europe. Many Open Data solutions do not satisfactorily support this metadata specification. To address this problem, we designed and implemented a novel platform for harvesting and managing native DCAT-AP-compliant RDF. Our approach uses a triplestore as main database and applies state-of-the-art development and deployment patterns to ensure performance and scalability.
  • Publication
    Linked data in the European Data Portal
    ( 2019)
    Kirstein, Fabian
    ;
    Dittwald, Benjamin
    ;
    Dutkowski, Simon
    ;
    Glikman, Yury
    ;
    Schimmler, Sonja
    ;
    Hauswirth, Manfred
    The European Data Portal (EDP) is a central access point for metadata of Open Data published by public authorities in Europe and acquires data from more than 70 national data providers. The platform is a starting point in adopting the Linked Data specification DCAT-AP, aiming to increase interoperability and accessibility of Open Data. In this paper, we present the design of the central data management components of the platform, responsible for metadata storage, data harvesting and quality assessment. The core component is based on CKAN, which is extended by the support for native Linked Data replication to a triplestore to ensure legacy compatibility and the support for DCAT-AP. Regular data harvesting and the creation of detailed quality reports are performed by custom components adressing the requirements of DCAT-AP. The EDP is well on track to become the core platform for European Open Data and fostered the acceptance of DCAT-AP. Our platform is available here: https://www.europeandataportal.eu