Inria Project Lab iCODA – Knowledge-mediated Content and Data Analytics

iCODA, where data and content meets knowledge for journalism!

One of today’s major issues in data science is the design of algorithms that allow analysts to efficiently infer useful information and knowledge by collaboratively inspecting heterogeneous information sources, from structured data to unstructured content. Taking data journalism as an emblematic use-case, the goal of the project is to develop the scientific and technological foundations for knowledge-mediated user-in-the-loop collaborative data analytics on heterogenous information sources, and to demonstrate the effectiveness of the approach in realistic, high-visibility use-cases. The project stands at the crossroad of multiple research fields—content analysis, data management, knowledge representation, visualization—that span multiple Inria themes, and counts on a club of major press partners to define usage scenarios, provide data and demonstrate achievements.

iCODA members helping to shape the future of a European sovereign media industry

iCODA members invited by Special adviser to European Commission President Guillaume Klossa in preparation of his report towards European media sovereignty. A discussion on the impact of AI technology on the transformation of the media industry. Check the final report … specially page 22 where iCODA is mentioned.

DocEng 2019: Using Knowledge Base Semantics in Context-Aware Entity Linking

Improving core technology to bridge content and knowledge bases through entity linking with the help of the information that knowledge bases embed. A collaboration between the LINKMEDIA and CEDAR team accepted for publication at the ACM Symposium on Document Engineering 2019, in Munich in September 2019. Abstract. Entity linking is…

ESWC 2019: Reformulation-based query answering for RDF graphs with RDFS ontologies

Core iCODA technology on efficiently querying heterogeneous data sources through RDFS ontologies to be presented next week (June 2-6) at the European Semantic Web Conference in Portoroz. A joint work of the CEDAR and GraphIK teams illustrating the cooperation between databases and knowledge engineering. Check the preprint on HAL. Abstract.…