human: Given a hyperedge-centered hypergraph: <hypergraph>, where the center hyperedge is induced by one source paper and its member nodes are the cited papers.

Details of the hypergraph:
Center hyperedge (induced by source paper "querying log data with metric temporal logic"):
  Abstract: We advocate DatalogMTL - a datalog extension of a Horn fragment of the metric temporal logic MTL - as a language for ontology-based access to temporal log data. We show that DatalogMTL is ExpSpace-complete even with punctual intervals, in which case full MTL is known to be undecidable. Nonrecursive DatalogMTL turns out to be PSpace-complete for combined complexity and in AC0 for data complexity. We demonstrate by two real-world use cases that nonrecursive DatalogMTL programs can express complex temporal concepts from typical user queries and thereby facilitate access to temporal log data. Our experiments with Siemens turbine data and MesoWest weather data show that DatalogMTL ontology-mediated queries are efficient and scale on large datasets of up to 11GB.

Includes members:
  Member "horn fragments of the halpern shoham interval temporal logic":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "on sub propositional fragments of modal logic")
  Member "on the decidability and complexity of some fragments of metric temporal logic":
    also connected through other hyperedges:
      (none)
  Member "the complexity of clausal fragments of ltl":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "horn fragments of the halpern shoham interval temporal logic")
  Member "a cookbook for temporal conceptual data modelling with description logics":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "horn fragments of the halpern shoham interval temporal logic")
  Member "pspace reasoning for graded modal logics":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "on the complexity of graded modal logics with converse")

Question: Please tell me which class the source paper belongs to. The 40 classes are: cs.NA(Numerical Analysis), cs.MM(Multimedia), cs.LO(Logic in Computer Science), cs.CY(Computers and Society), cs.CR(Cryptography and Security), cs.DC(Distributed, Parallel, and Cluster Computing), cs.HC(Human-Computer Interaction), cs.CE(Computational Engineering, Finance, and Science), cs.NI(Networking and Internet Architecture), cs.CC(Computational Complexity), cs.AI(Artificial Intelligence), cs.MA(Multiagent Systems), cs.GL(General Literature), cs.NE(Neural and Evolutionary Computing), cs.SC(Symbolic Computation), cs.AR(Hardware Architecture), cs.CV(Computer Vision and Pattern Recognition), cs.GR(Graphics), cs.ET(Emerging Technologies), cs.SY(Systems and Control), cs.CG(Computational Geometry), cs.OH(Other Computer Science), cs.PL(Programming Languages), cs.SE(Software Engineering), cs.LG(Machine Learning), cs.SD(Sound), cs.SI(Social and Information Networks), cs.RO(Robotics), cs.IT(Information Theory), cs.PF(Performance), cs.CL(Computation and Language), cs.IR(Information Retrieval), cs.MS(Mathematical Software), cs.FL(Formal Languages and Automata Theory), cs.DS(Data Structures and Algorithms), cs.OS(Operating Systems), cs.GT(Computer Science and Game Theory), cs.DB(Databases), cs.DL(Digital Libraries), cs.DM(Discrete Mathematics). Directly output the class name.

gpt: cs.LO(Logic in Computer Science)