The research interests of DDM group include data federation and privacy preservation by applying techniques of text mining, natural language processing, machine learning, and semantic web.
The research group of Deep Data Mining was established to develop algorithms and implement prototype for multi-sources heterogeneous information federation and privacy preservation on multimodal data.
Regarding datatypes to integrate, we consider data from structured (e.g, records in DB), semi-structured (e.g, XML, JSON) and unstructured sources (e.g, news, social media). In a broad view of the core techniques, our group applies technologies of database, data mining, natural language processing, machine learning, and ontology based semantic web technology. As application-driven research, we aim to realize general data integration framework to adapt multiple applications (e.g, information retrieval, recommendation systems, online advertisements) and meanwhile acquire the unique characteristics of domain-data to boost the integration accuracy on specialized domains (e.g, social networks, demographic, review data).
Seven spin-off companies from Umeå university on the first European AI Startup Landscape Map.
Adlede, a spin off company to Codemill, is behind a new platform to several Danish media houses.
Research companies based on technology for AI at Sweden Innovation Days.
Johanna Björklund receives funding for research on semantic parsing of multimodal data.
Ingeborg Nilsson is one of the responsible for the initiative.