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 "building an ecosystem for the tyrolean tourism knowledge graph"):
  Abstract: The introduction of the schema.org vocabulary was a big step towards making websites machine read- and understandable. Due to schema.org's RDF-like nature storing annotations in a graph database is easy and efficient. In this paper the authors show how they gather touristic data in the Austrian region of Tirol and provide this data publicly in a knowledge graph. The definition of subsets of the vocabulary is followed by providing means to map data sources efficiently to schema.org and then store the annotated content into the graph. To showcase the consumption of the touristic data four scenarios are described which use the knowledge graph for real life applications and data analysis.

Includes members:
  Member "heuristics for publishing dynamic content as structured data with schema org":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "verification and validation of semantic annotations")
  Member "machine readable web apis with schema org action annotations":
    also connected through other hyperedges:
      (none)
  Member "domain specific semantic validation of schema org annotations":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "a formal approach for customization of schema org based on shacl")
  Member "complete semantics to empower touristic service providers":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "verification and validation of semantic annotations")
  Member "defining tourism domains for semantic annotation of web content":
    also connected through other hyperedges:
      (none)
  Member "annotation based automatic action processing":
    also connected through other hyperedges:
      (none)
  Member "semantify it a platform for creation publication and distribution of semantic annotations":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "rocketrml a nodejs implementation of a use case specific rml mapper")

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.IR(Information Retrieval)