human: Given a node-centered hypergraph: <hypergraph>, where nodes represent papers and hyperedges represent sets of papers co-cited by a source paper.

Details of the hypergraph:
Center node: "prioritized repairing and consistent query answering in relational databases"
  Abstract: A consistent query answer in an inconsistent database is an answer obtained in every (minimal) repair. The repairs are obtained by resolving all conflicts in all possible ways. Often, however, the user is able to provide a preference on how conflicts should be resolved. We investigate here the framework of preferred consistent query answers, in which user preferences are used to narrow down the set of repairs to a set of preferred repairs. We axiomatize desirable properties of preferred repairs. We present three different families of preferred repairs and study their mutual relationships. Finally, we investigate the complexity of preferred repairing and computing preferred consistent query answers.

Connected through hyperedge HE-1 (induced by source paper "querying and repairing inconsistent prioritized knowledge bases complexity analysis and links with abstract argumentation"):
  with members:
    - "the dl lite family and relations"
    - "complexity of consistent query answering in databases under cardinality based and incremental repair semantics"

Connected through hyperedge HE-2 (induced by source paper "recursive algorithms to repair prioritized and inconsistent dl lite knowledge base"):
  with members:
    - "a general modifier based framework for inconsistency tolerant query answering"

Connected through hyperedge HE-3 (induced by source paper "repair based degrees of database inconsistency computation and complexity"):
  with members:
    - "computing optimal repairs for functional dependencies"
    - "consistency and trust in peer data exchange systems"
    - "juggling functions inside a database"
    - "achieving data privacy through secrecy views and null based virtual updates"
    - "the complexity of causality and responsibility for query answers and non answers"
    - "the dlv system for knowledge representation and reasoning"
    - "complexity of consistent query answering in databases under cardinality based and incremental repair semantics"
    - "minimal change integrity maintenance using tuple deletions"

Connected through hyperedge HE-4 (induced by source paper "measuring and computing database inconsistency via repairs"):
  with members:
    - "the complexity of causality and responsibility for query answers and non answers"
    - "the dlv system for knowledge representation and reasoning"
    - "minimal change integrity maintenance using tuple deletions"

Connected through hyperedge HE-5 (induced by source paper "specifying and computing causes for query answers in databases via database repairs and repair programs"):
  with members:
    - "measuring and computing database inconsistency via repairs"
    - "consistency and trust in peer data exchange systems"
    - "quantifying causal effects on query answering in databases"
    - "achieving data privacy through secrecy views and null based virtual updates"
    - "the complexity of causality and responsibility for query answers and non answers"
    - "the dlv system for knowledge representation and reasoning"
    - "complexity of consistent query answering in databases under cardinality based and incremental repair semantics"
    - "minimal change integrity maintenance using tuple deletions"

Connected through hyperedge HE-6 (induced by source paper "computing optimal repairs for functional dependencies"):
  with members:
    - "principles of progress indicators for database repairing"
    - "repair based degrees of database inconsistency computation and complexity"
    - "measuring and computing database inconsistency via repairs"
    - "holoclean holistic data repairs with probabilistic inference"
    - "complexity of consistent query answering in databases under cardinality based and incremental repair semantics"
    - "minimal change integrity maintenance using tuple deletions"

Connected through hyperedge HE-7 (induced by source paper "unambiguous prioritized repairing of databases"):
  with members:
    - "achieving new upper bounds for the hypergraph duality problem through logic"
    - "preferred answer sets for ordered logic programs"

Connected through hyperedge HE-8 (induced by source paper "from causes for database queries to repairs and model based diagnosis and back"):
  with members:
    - "causes for query answers from databases datalog abduction and view updates the presence of integrity constraints"
    - "query answer causality in databases abductive diagnosis and view updates"
    - "unifying causality diagnosis repairs and view updates in databases"
    - "causality in databases the diagnosis and repair connections"
    - "achieving data privacy through secrecy views and null based virtual updates"
    - "the complexity of causality and responsibility for query answers and non answers"
    - "approximate model based diagnosis using greedy stochastic search"
    - "semantically correct query answers in the presence of null values"

Question: Please tell me which class the center node 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)