  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 benfits. 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.
