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: "a semantics and complete algorithm for subsumption in the classic description logic"
  Abstract: This paper analyzes the correctness of the subsumption algorithm used in CLASSIC, a description logic-based knowledge representation system that is being used in practical applications. In order to deal efficiently with individuals in CLASSIC descriptions, the developers have had to use an algorithm that is incomplete with respect to the standard, model-theoretic semantics for description logics. We provide a variant semantics for descriptions with respect to which the current implementation is complete, and which can be independently motivated. The soundness and completeness of the polynomial-time subsumption algorithm is established using description graphs, which are an abstracted version of the implementation structures used in CLASSIC, and are of independent interest.

Connected through hyperedge HE-1 (induced by source paper "real time reasoning in owl2 for gdpr compliance"):
  with members:
    - "reasoning over ontologies with hidden content the import by query approach"
    - "the dl lite family and relations"
    - "hypertableau reasoning for description logics"

Connected through hyperedge HE-2 (induced by source paper "exact learning of lightweight description logic ontologies"):
  with members:
    - "ontology based data access a study through disjunctive datalog csp and mmsnp"
    - "the logical difference for the lightweight description logic el"
    - "description logic tboxes model theoretic characterizations and rewritability"
    - "the dl lite family and relations"
    - "learning concept hierarchies from text corpora using formal concept analysis"

Connected through hyperedge HE-3 (induced by source paper "semantic matchmaking as non monotonic reasoning a description logic approach"):
  with members:
    - "reasoning with axioms theory and pratice"

Connected through hyperedge HE-4 (induced by source paper "complexity results and practical algorithms for logics in knowledge representation"):
  with members:
    - "practical reasoning for expressive description logics"
    - "the complexity of reasoning with cardinality restrictions and nominals in expressive description logics"
    - "reasoning with individuals for the description logic shiq"
    - "pspace reasoning for graded modal logics"
    - "reasoning with axioms theory and pratice"
    - "decidable reasoning in terminological knowledge representation systems"

Connected through hyperedge HE-5 (induced by source paper "what s in an attribute consequences for the least common subsumer"):
  with members:
    - "unifying class based representation formalisms"

Connected through hyperedge HE-6 (induced by source paper "the complexity of reasoning with cardinality restrictions and nominals in expressive description logics"):
  with members:
    - "practical reasoning for expressive description logics"
    - "pspace reasoning for graded modal logics"

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.AI(Artificial Intelligence)