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 "complexity of consistent query answering in databases under cardinality based and incremental repair semantics"):
  Abstract: Consistent Query Answering (CQA) is the problem of computing from a database the answers to a query that are consistent with respect to certain integrity constraints that the database, as a whole, may fail to satisfy. Consistent answers have been characterized as those that are invariant under certain minimal forms of restoration of the database consistency. We investigate algorithmic and complexity theoretic issues of CQA under database repairs that minimally depart -wrt the cardinality of the symmetric difference- from the original database. We obtain first tight complexity bounds. #R##N#We also address the problem of incremental complexity of CQA, that naturally occurs when an originally consistent database becomes inconsistent after the execution of a sequence of update operations. Tight bounds on incremental complexity are provided for various semantics under denial constraints. Fixed parameter tractability is also investigated in this dynamic context, where the size of the update sequence becomes the relevant parameter.

Includes members:
  Member "the dlv system for knowledge representation and reasoning":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "the seventh answer set programming competition design and results")
  Member "consistent query answers on numerical databases under aggregate constraints":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "complexity of consistent query answering in databases under cardinality based and incremental repair semantics extended version")
  Member "complexity and approximation of fixing numerical attributes in databases under integrity constraints":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "a hybrid data cleaning framework using markov logic networks")
  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")

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)