Poster & Demo

The COURAGE project aims at preserving the history and heritage of dissent in former socialist countries. The items of so-called cultural opposition are curated now in various collections, and COURAGE builds a registry of these collections. The registry is a Linked Data platform, and data in-put, editing and publishing are all done using RDF and SPARQL.

The paper introduces UNiCS, the open platform for Research and Innovation data management. The UNiCS platform follows the Ontology-Based Data Access (OBDA) approach, which eases the access to a vast amount of heterogeneous data, offering the final users means by formulating queries using terms from the knowledge domain they are experts in.

Patent data is a valuable source of business, technical and legal information. The European patent office has recently begun the regular publication of bibliographic information of European patents, including the full CPC taxonomy, in linked data format with an open standard license. Data scientists, commercial providers, web developers etc.

Ordnance Survey Ireland (OSi) is Ireland’s national mapping agency that is responsible for the digitisation of the island’s infrastructure in terms of mapping. Generating data from various sensors (e.g. spatial sensors), OSi build its knowledge in the Prime2 framework, a subset of which is trans-formed into geo-Linked Data.

Nowadays, Text Classification [2,5] is gaining more attention due to the availability of a huge number of text data, such as blog articles and news data.
Traditional text classification methods [1], use all the words present in a given
text to represent a document. However, the high number of words mentioned in

Semantic web technologies provide an open and adaptable framework for compliance regarding the General Data Protection Regulation (GDPR). Our previous work in this regard demonstrates the use of SPARQL for querying provenance of consent and personal data lifecycles for compliance.

Time-series based simulations of industrial processes are instrumental to optimizing a variety of industrial settings. For example, time-series data can be used for the modeling of manufacturing processes, which in turn are the foundation for simulation-based optimization approaches. In this paper, we describe a use case, developed together with Infineon Technologies Austria AG.

So far, localization and description of these patterns is currently limited to micro-studies due to the involved extremely high manual annotation effort.

Patent search systems allow complex queries to be formulated by combining different search terms using Boolean and other operators such as proximity, wildcards, etc. in order to find relevant patents.

The European General Data Protection Regulation (GDPR) sets new precedents for the processing of personal data. In this paper, we propose an architecture that provides an automated means to enable transparency with respect to personal data processing and sharing transactions and compliance checking with respect to data subject usage policies and GDPR legislative obligations .