human: Given a hyperedge-centered hypergraph: <hypergraph>, where the center hyperedge is induced by one source paper and its member nodes are the cited papers.

Details of the hypergraph:
Center hyperedge (induced by source paper "the rdf virtual machine"):
  Abstract: The Resource Description Framework (RDF) is a semantic network data model that is used to create machine-understandable descriptions of the world and is the basis of the Semantic Web. This article discusses the application of RDF to the representation of computer software and virtual computing machines. The Semantic Web is posited as not only a web of data, but also as a web of programs and processes.

Includes members:
  Member "general purpose computing on a semantic network substrate":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "a distributed process infrastructure for a distributed data structure")
  Member "grammar based geodesics in semantic networks":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "a novel measure of edge centrality in social networks")
  Member "a reflection on the structure and process of the web of data":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "faith in the algorithm part 2 computational eudaemonics")
  Member "a distributed process infrastructure for a distributed data structure":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "faith in the algorithm part 1 beyond the turing test")
  Member "grammar based random walkers in semantic networks":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "active learning for graph embedding")
  Member "a multi relational network to support the scholarly communication process":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "a method for group extraction and analysis in multilayer social networks")

Question: Please tell me which class the source paper 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.PL(Programming Languages)