Semantically enhanced quality assurance in the JURION business use case

Abstract

The publishing industry is undergoing major changes. These changes are mainly based on technical developments and related habits of information consumption. Wolters Kluwer already engaged in new solutions to meet these challenges and to improve all processes of generating good quality content in the backend on the one hand and to deliver information and software in the frontend that facilitates the customer’s life on the other hand. JURION is an innovative legal information platform developed by Wolters Kluwer Germany (WKD) that merges and interlinks over one million documents of content and data from diverse sources such as national and European legislation and court judgments, extensive internally authored content and local customer data, as well as social media and web data (e.g. DBpedia). In collecting and managing this data, all stages of the Data Lifecycle are present - extraction, storage, authoring, interlinking, enrichment, quality analysis, repair and publication. Ensuring data quality is a key step in the JURION data lifecycle. In this industry paper we present two use cases for verifying quality: (1) integrating quality tools in the existing software infrastructure and (2) improving the data enrichment step by checking the external sources before importing them in JURION. We open-source part of our extensions and provide a screencast with our prototype in action.