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: "ontology temporal evolution for multi entity bayesian networks under exogenous and endogenous semantic updating"
  Abstract: It is a challenge for any Knowledge Base reasoning to manage ubiquitous uncertain ontology as well as uncertain updating times, while achieving acceptable service levels at minimum computational cost. This paper proposes an application-independent merging ontologies for any open interaction system. A solution that uses Multi-Entity Bayesan Networks with SWRL rules, and a Java program is presented to dynamically monitor Exogenous and Endogenous temporal evolution on updating merging ontologies on a probabilistic framework for the Semantic Web.

Connected through hyperedge HE-1 (induced by source paper "emergent behaviors from folksonomy driven interactions"):
  with members:
    - "automatic data deformation analysis on evolving folksonomy driven environment"
    - "function of forgetfulness for the tedium of oblivion on liquidity of ontology matching"
    - "liquidity on web dynamic network"
    - "elasticity on ontology matching of folksodriven structure network"
    - "faceted semantic search for personalized social search"
    - "cluster analysis for a scale free folksodriven structure network"
    - "folksodriven structure network"
    - "search for hidden knowledge in collective intelligence dealing indeterminacy ontology of folksonomy with linguistic pragmatics and quantum logic"

Connected through hyperedge HE-2 (induced by source paper "elasticity on ontology matching of folksodriven structure network"):
  with members:
    - "cluster analysis for a scale free folksodriven structure network"
    - "folksodriven structure network"

Connected through hyperedge HE-3 (induced by source paper "intelligent interface architectures for folksonomy driven structure network"):
  with members:
    - "elasticity on ontology matching of folksodriven structure network"
    - "cluster analysis for a scale free folksodriven structure network"

Connected through hyperedge HE-4 (induced by source paper "cluster analysis for a scale free folksodriven structure network"):
  with members:
    - "folksodriven structure network"
    - "folks in folksonomies social link prediction from shared metadata"
    - "the structure of collaborative tagging systems"
    - "folksonomy as a complex network"

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)