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 "consistent query answers in the presence of universal constraints"):
  Abstract: The framework of consistent query answers and repairs has been introduced to alleviate the impact of inconsistent data on the answers to a query. A repair is a minimally different consistent instance and an answer is consistent if it is present in every repair. In this article we study the complexity of consistent query answers and repair checking in the presence of universal constraints. #R##N#We propose an extended version of the conflict hypergraph which allows to capture all repairs w.r.t. a set of universal constraints. We show that repair checking is in PTIME for the class of full tuple-generating dependencies and denial constraints, and we present a polynomial repair algorithm. This algorithm is sound, i.e. always produces a repair, but also complete, i.e. every repair can be constructed. Next, we present a polynomial-time algorithm computing consistent answers to ground quantifier-free queries in the presence of denial constraints, join dependencies, and acyclic full-tuple generating dependencies. Finally, we show that extending the class of constraints leads to intractability. For arbitrary full tuple-generating dependencies consistent query answering becomes coNP-complete. For arbitrary universal constraints consistent query answering is \Pi_2^p-complete and repair checking coNP-complete.

Includes members:
  Member "complexity of consistent query answering in databases under cardinality based and incremental repair semantics":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "querying and repairing inconsistent prioritized knowledge bases complexity analysis and links with abstract argumentation")
  Member "complexity and approximation of fixing numerical attributes in databases under integrity constraints":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "a hybrid data cleaning framework using markov logic networks")
  Member "preferred answer sets for ordered logic programs":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "unambiguous prioritized repairing of databases")
  Member "answer sets for consistent query answering in inconsistent databases":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "abstract solvers for computing cautious consequences of asp programs")
  Member "minimal change integrity maintenance using tuple deletions":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "complexity and efficient algorithms for data inconsistency evaluating and repairing")
  Member "dlv a system for declarative problem solving":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "a framework for easing the development of applications embedding answer set programming")

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.DB(Databases)