Forschungsprojekte
Output and Sorting in Deductive Databases
This project investigates ways to specify output (e.g., for generating web pages) declaratively with Datalog.
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BigFlow
BigFlow is a data-driven workflow approach to mediate between data preparation, machine learning and interactive, visual data exploration in big data applications.
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Efficient Query/Program Execution in Deductive Databases
Deductive databases use the logic programming language Datalog for database queries and application programming. The goal of this project is to improve the efficiency of query/program execution.
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Long Range Correlations
Records, each consisting of a set of simple objects from a data space, exhibit correlations that are non-local in the dataspace. A new class of mixture models is developed that capture such long range corrations.
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Nonmonotonic Negation in Logic Programming
Many different semantics have been proposed for negation in logic programming. We could characterize some important semantics via properties and elementary transformations.
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Detecting semantic errors in SQL queries.
This project investigates semantic errors in SQL queries, e.g. for giving warnings for SQL queries which are executable, but certainly not intended.
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TopicExplorer
TopicExplorer is a web-based visual analytics system to explore data with topic models. Main current application is the analysis of Japanese blogs.
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