Two post doc positions in AI for Data Management at the Department of Computing Science, Umeå University.
Project description and working tasks
The research will be carried out within the research group in “Artificial Intelligence for Data Management”, led by Prof. Diego Calvanese. The research group currently consists of two post-doctoral researchers and three PhD students, and it will be joined starting from summer this year by two associate professors and several PhD students. The group will closely collaborate with the research team of Prof. Calvanese at the Free University of Bozen-Bolzano, Italy, which is well-known as one of the leading groups worldwide for its foundational and applied research at the interplay between Semantic Technologies, Knowledge Representation and Reasoning, and Databases.
The research project investigates foundational aspects and develops advanced software tools for the flexible and efficient management of large amounts of richly structured data, by relying on the paradigm of Virtual Knowledge Graphs (VKGs, also known as Ontology-based Data Access). The project will build on the open source system Ontop (http://ontop-vkg.org/) and will be carried out in close collaboration with the research team of Prof. Calvanese at the Free Univ. of Bozen-Bolzano, Italy. It aims at extending the foundations, implementation, and application areas of VKGs along several directions:
- (i) dealing with additional forms of data/knowledge (e.g., temporal, geospatial, aggregated, numeric);
- (ii) managing heterogeneous data sources of different types (e.g., graph-data, json, xml, csv, streaming, textual);
- (iii) tackling novel kinds of problems (e.g., provenance and explanation, personalization, data analysis and machine learning over VKGs, optimization and performance tuning); and
- (iv) applying VKGs to novel domains (e.g., industry 4.0, smart cities, e-health).