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: "answer sets for consistent query answering in inconsistent databases"
  Abstract: A relational database is inconsistent if it does not satisfy a given set of integrity constraints. Nevertheless, it is likely that most of the data in it is consistent with the constraints. In this paper we apply logic programming based on answer sets to the problem of retrieving consistent information from a possibly inconsistent database. Since consistent information persists from the original database to every of its minimal repairs, the approach is based on a specification of database repairs using disjunctive logic programs with exceptions, whose answer set semantics can be represented and computed by systems that implement stable model semantics. These programs allow us to declare persistence by defaults and repairing changes by exceptions. We concentrate mainly on logic programs for binary integrity constraints, among which we find most of the integrity constraints found in practice.

Connected through hyperedge HE-1 (induced by source paper "abstract solvers for computing cautious consequences of asp programs"):
  with members:
    - "cautious reasoning in asp via minimal models and unsatisfiable cores"
    - "anytime answer set optimization via unsatisfiable core shrinking"
    - "anytime computation of cautious consequences in answer set programming"
    - "the third open answer set programming competition"
    - "transition systems for model generators a unifying approach"
    - "consistent query answering via asp from different perspectives theory and practice"
    - "the dlv system for knowledge representation and reasoning"
    - "flux a logic programming method for reasoning agents"

Connected through hyperedge HE-2 (induced by source paper "better paracoherent answer sets with less resources"):
  with members:
    - "on the computation of paracoherent answer sets"
    - "multi shot asp solving with clingo"
    - "query answering in resource based answer set semantics"
    - "combining answer set programming and domain heuristics for solving hard industrial problems application paper"
    - "anytime answer set optimization via unsatisfiable core shrinking"
    - "improved answer set programming encodings for abstract argumentation"
    - "on the tractability of minimal model computation for some cnf theories"
    - "the dlv system for knowledge representation and reasoning"

Connected through hyperedge HE-3 (induced by source paper "a sat based system for consistent query answering"):
  with members:
    - "holoclean holistic data repairs with probabilistic inference"
    - "charting the tractability frontier of certain conjunctive query answering"
    - "consistent query answering via asp from different perspectives theory and practice"

Connected through hyperedge HE-4 (induced by source paper "cautious reasoning in asp via minimal models and unsatisfiable cores"):
  with members:
    - "on the computation of paracoherent answer sets"
    - "model enumeration in propositional circumscription via unsatisfiable core analysis"
    - "combining answer set programming and domain heuristics for solving hard industrial problems application paper"
    - "anytime answer set optimization via unsatisfiable core shrinking"
    - "anytime computation of cautious consequences in answer set programming"
    - "the third open answer set programming competition"
    - "consistent query answering via asp from different perspectives theory and practice"
    - "disjunctive asp with functions decidable queries and effective computation"

Connected through hyperedge HE-5 (induced by source paper "the causality repair connection in databases causality programs"):
  with members:
    - "consistency and trust in peer data exchange systems"
    - "quantifying causal effects on query answering in databases"
    - "causes for query answers from databases datalog abduction view updates and integrity constraints"
    - "achieving data privacy through secrecy views and null based virtual updates"
    - "the complexity of causality and responsibility for query answers and non answers"
    - "design and implementation of aggregate functions in the dlv system"
    - "the dlv system for knowledge representation and reasoning"
    - "responsibility and blame a structural model approach"

Connected through hyperedge HE-6 (induced by source paper "model based diagnosis of multiple observations with implicit hitting sets"):
  with members:
    - "propositional abduction with implicit hitting sets"
    - "algorithms for implicit hitting set problems"
    - "detecting inconsistencies in large biological networks with answer set programming"
    - "cause clue clauses error localization using maximum satisfiability"
    - "model based diagnosis using structured system descriptions"

Connected through hyperedge HE-7 (induced by source paper "consistency and trust in peer data exchange systems"):
  with members:
    - "relational theories with null values and non herbrand stable models"
    - "why would you trust b"
    - "the dlv system for knowledge representation and reasoning"
    - "semantically correct query answers in the presence of null values"
    - "minimal change integrity maintenance using tuple deletions"

Connected through hyperedge HE-8 (induced by source paper "taming primary key violations to query large inconsistent data"):
  with members:
    - "anytime computation of cautious consequences in answer set programming"
    - "the third open answer set programming competition"
    - "minimal change integrity maintenance using tuple deletions"

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)