Journalistic Information Extraction - Projektphase II (JoIE II)

Data journalism is a new journalistic discipline that focuses particularly on data-driven research and presentation formats. However, a fundamental problem of data journalism, but also of classical journalism, is that much data of journalistic interest is only available in unstructured form: as texts, tables and graphics in documents of various types (Word, PDF, e-mail, etc.) or on websites.
The project Journalistic Information Extraction (JoIE) aims to address the problem of information extraction from unstructured sources, which are relevant for (data) journalism. Based on the two state-of-the-art tools Workbench and Fonduer, a solution is going to be developed that can handle the above-mentioned data sources and makes them usable for journalism by putting them into a structured and thus analyzable form. Workbench is a web-based platform for the preparation and analysis of data, which allows, among other things, the extraction of web data. Fonduer is a toolkit that uses the latest methods of artificial intelligence to automatically learn extraction patterns, e. g. for the recognition of tables. Both applicants, the Science Media Center (SMC) and the working group around Prof. Schaer at TH Köln – University of Applied Sciences have already successfully worked together in the field of information extraction and have the corresponding experience and expertise.