Query Evaluation in DatalogMTL -- Taming Infinite Query Results
This work addresses a foundational issue in temporal logic programming for AI and database systems, offering incremental improvements in handling infinite models.
The paper tackles the problem of infinite query results in DatalogMTL by investigating finite representations of models, identifying conditions for finite, constant, and periodic models, and providing a novel reasoning algorithm for such programs.
In this paper, we investigate finite representations of DatalogMTL models. First, we discuss sufficient conditions for detecting programs that have finite models. Then, we study infinite models that eventually become constant and introduce sufficient criteria for programs that allow for such representation. We proceed by considering infinite models that are eventually periodic and show that such representation encompasses all DatalogMTL^FP programs, a widely discussed fragment. Finally, we provide a novel algorithm for reasoning over such finite representable programs.