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: "domain specific semantic validation of schema org annotations"
  Abstract: Since its unveiling in 2011, this http URL has become the de facto standard for publishing semantically described structured data on the web, typically in the form of web page annotations. The increasing adoption of this http URL facilitates the growth of the web of data, as well as the development of automated agents that operate on this data. this http URL is a large heterogeneous vocabulary that covers many domains. This is obviously not a bug, but a feature, since this http URL aims to describe almost everything on the web, and the web is huge. However, the heterogeneity of this http URL may cause a side effect, which is the challenge of picking the right classes and properties for an annotation in a certain domain, as well as keeping the annotation semantically consistent. In this work, we introduce our rule based approach and an implementation of it for validating this http URL annotations from two aspects: (a) the completeness of the annotations in terms of a specified domain, (b) the semantic consistency of the values based on pre-defined rules. We demonstrate our approach in the tourism domain.

Connected through hyperedge HE-1 (induced by source paper "a formal approach for customization of schema org based on shacl"):
  with members:
    - "complete semantics to empower touristic service providers"

Connected through hyperedge HE-2 (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"
    - "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:
    - "heuristics for publishing dynamic content as structured data with schema org"
    - "complete semantics to empower touristic service providers"
    - "semantify it a platform for creation publication and distribution of semantic annotations"

Connected through hyperedge HE-4 (induced by source paper "defining tourism domains for semantic annotation of web content"):
  with members:
    - "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)