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: "defining tourism domains for semantic annotation of web content"
  Abstract: Schema.org is an initiative by Bing, Google, Yahoo! and Yandex that publishes a vocabulary for creating structured data markup on web pages. The use of schema.org is necessary to increase the visibility of a website, making the content understandable to different automated agents (e.g. search engines, chatbots or personal assistant systems). The domain specifications are the subsets of types from the schema.org vocabulary, each associated with a set of properties. The challenge is to choose the right classes and properties for an annotation in a given domain. In this paper we address the problem of finding a subset of types and properties for complete and correct annotation of different tourism domains. The approach provides a collection of domain specifications that were built based on domain analysis and vocabulary selection.

Connected through hyperedge HE-1 (induced by source paper "building an ecosystem for the tyrolean tourism knowledge graph"):
  with members:
    - "heuristics for publishing dynamic content as structured data with schema org"
    - "machine readable web apis with schema org action annotations"
    - "domain specific semantic validation of schema org annotations"
    - "complete semantics to empower touristic service providers"
    - "annotation based automatic action processing"
    - "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)