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: "on chase termination beyond stratification"
  Abstract: We study the termination problem of the chase algorithm, a central tool in various database problems such as the constraint implication problem, Conjunctive Query optimization, rewriting queries using views, data exchange, and data integration. The basic idea of the chase is, given a database instance and a set of constraints as input, to fix constraint violations in the database instance. It is well-known that, for an arbitrary set of constraints, the chase does not necessarily terminate (in general, it is even undecidable if it does or not). Addressing this issue, we review the limitations of existing sufficient termination conditions for the chase and develop new techniques that allow us to establish weaker sufficient conditions. In particular, we introduce two novel termination conditions called safety and inductive restriction, and use them to define the so-called T-hierarchy of termination conditions. We then study the interrelations of our termination conditions with previous conditions and the complexity of checking our conditions. This analysis leads to an algorithm that checks membership in a level of the T-hierarchy and accounts for the complexity of termination conditions. As another contribution, we study the problem of data-dependent chase termination and present sufficient termination conditions w.r.t. fixed instances. They might guarantee termination although the chase does not terminate in the general case. As an application of our techniques beyond those already mentioned, we transfer our results into the field of query answering over knowledge bases where the chase on the underlying database may not terminate, making existing algorithms applicable to broader classes of constraints.

Connected through hyperedge HE-1 (induced by source paper "all instances restricted chase termination"):
  with members:
    - "a single approach to decide chase termination on linear existential rules"
    - "semantic acyclicity under constraints"
    - "acyclicity notions for existential rules and their application to query answering in ontologies"
    - "anatomy of the chase"

Connected through hyperedge HE-2 (induced by source paper "checking termination of bottom up evaluation of logic programs with function symbols"):
  with members:
    - "disjunctive asp with functions decidable queries and effective computation"
    - "automated termination analysis for logic programs with cut"
    - "automated termination proofs for logic programs by term rewriting"
    - "on termination of meta programs"

Connected through hyperedge HE-3 (induced by source paper "acyclicity notions for existential rules and their application to query answering in ontologies"):
  with members:
    - "nominals inverses counting and conjunctive queries or why infinity is your friend"
    - "hypertableau reasoning for description logics"
    - "conjunctive query answering for the description logic shiq"
    - "the dlv system for knowledge representation and reasoning"
    - "deciding regular grammar logics with converse through first order logic"

Connected through hyperedge HE-4 (induced by source paper "disjunctive datalog with existential quantifiers semantics decidability and complexity issues"):
  with members:
    - "querying the guarded fragment"
    - "hypertree decompositions and tractable queries"

Connected through hyperedge HE-5 (induced by source paper "foundations of sparql query optimization"):
  with members:
    - "stop the chase"
    - "sp2bench a sparql performance benchmark"
    - "a role free approach to indexing large rdf data sets in secondary memory for efficient sparql evaluation"
    - "semantics and complexity of sparql"

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)