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: "tagging multimedia stimuli with ontologies"
  Abstract: Successful management of emotional stimuli is a pivotal issue concerning Affective Computing (AC) and the related research. As a subfield of Artificial Intelligence, AC is concerned not only with the design of computer systems and the accompanying hardware that can recognize, interpret, and process human emotions, but also with the development of systems that can trigger human emotional response in an ordered and controlled manner. This requires the maximum attainable precision and efficiency in the extraction of data from emotionally annotated databases While these databases do use keywords or tags for description of the semantic content, they do not provide either the necessary flexibility or leverage needed to efficiently extract the pertinent emotional content. Therefore, to this extent we propose an introduction of ontologies as a new paradigm for description of emotionally annotated data. The ability to select and sequence data based on their semantic attributes is vital for any study involving metadata, semantics and ontological sorting like the Semantic Web or the Social Semantic Desktop, and the approach described in the paper facilitates reuse in these areas as well.

Connected through hyperedge HE-1 (induced by source paper "gwat the geneva affective picture database wordnet annotation tool"):
  with members:
    - "stimont a core ontology for multimedia stimuli description"
    - "wntags a web based tool for image labeling and retrieval with lexical ontologies"
    - "multimedia stimuli databases usage patterns a survey report"

Connected through hyperedge HE-2 (induced by source paper "retrieval of multimedia stimuli with semantic and emotional cues suggestions from a controlled study"):
  with members:
    - "stimont a core ontology for multimedia stimuli description"
    - "multimedia stimuli databases usage patterns a survey report"

Connected through hyperedge HE-3 (induced by source paper "stimont a core ontology for multimedia stimuli description"):
  with members:
    - "wntags a web based tool for image labeling and retrieval with lexical ontologies"
    - "multimedia stimuli databases usage patterns a survey report"

Connected through hyperedge HE-4 (induced by source paper "labeling and retrieval of emotionally annotated images using wordnet"):
  with members:
    - "wntags a web based tool for image labeling and retrieval with lexical ontologies"
    - "semantic similarity in a taxonomy an information based measure and its application to problems of ambiguity in natural language"

Connected through hyperedge HE-5 (induced by source paper "wntags a web based tool for image labeling and retrieval with lexical ontologies"):
  with members:
    - "semantic similarity in a taxonomy an information based measure and its application to problems of ambiguity in natural language"

Connected through hyperedge HE-6 (induced by source paper "multimedia stimuli databases usage patterns a survey report"):
  with members:
    - "towards semantic and affective coupling in emotionally annotated databases"

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.AI(Artificial Intelligence)