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: "heuristics for publishing dynamic content as structured data with schema org"
  Abstract: Publishing fast changing dynamic data as open data on the web in a scalable manner is not trivial. So far the only approaches describe publishing as much data as possible, which then leads to problems, like server capacity overload, network latency or unwanted knowledge disclosure. With this paper we show ways how to publish dynamic data in a scalable, meaningful manner by applying context-dependent publication heuristics. The outcome shows that the application of the right publication heuristics in the right domain can improve the publication performance significantly. Good knowledge about the domain help choosing the right publication heuristic and hence lead to very good publication results.

Connected through hyperedge HE-1 (induced by source paper "verification and validation of semantic annotations"):
  with members:
    - "complete semantics to empower touristic service providers"
    - "a brief survey of text mining classification clustering and extraction techniques"
    - "validating rdf with shape expressions"

Connected through hyperedge HE-2 (induced by source paper "building an ecosystem for the tyrolean tourism knowledge graph"):
  with members:
    - "machine readable web apis with schema org action annotations"
    - "domain specific semantic validation of schema org annotations"
    - "complete semantics to empower touristic service providers"
    - "defining tourism domains for semantic annotation of web content"
    - "annotation based automatic action processing"
    - "semantify it a platform for creation publication and distribution of semantic annotations"

Connected through hyperedge HE-3 (induced by source paper "machine readable web apis with schema org action annotations"):
  with members:
    - "domain specific semantic validation of schema org annotations"
    - "complete semantics to empower touristic service providers"
    - "semantify it a platform for creation publication and distribution of semantic annotations"

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.IR(Information Retrieval)