magnet - Automatic Recommendation of In-Context Media Content to Support Exploratory Research in Journalism

magknet has indirectly received funding from the European Union’s Horizon 2020 research and innovation action programme, via the AI4Media Open Call #2 issued and executed under the AI4Media project (Grant Agreement no. 951911). project website: https://www.magknet.com/ The data shared in this folder is the core of the magknet application in the format of 5 sql tables: * common - list of common words in English used as stop list.* fundamental - list of 17 fundamental topics based on the IPTC classification (https://iptc.org/)* term - list of keywords referencing the respective fundamental topic and its relative frequency.* concept - list of concepts used to map the context based on (where/when/who/what) in an hierachical structure* context - context ontology in an hierachical structure referencing the respective concept (multiple means that the term is composed by multiple words; type and validated are to be ignored) for more information, please contact: [e-mail]