human: Given a hyperedge-centered hypergraph: <hypergraph>, where the center hyperedge groups authors who co-authored the same paper.

Details of the hypergraph:
Center hyperedge (induced by source paper "Generating finite-state transducers for semi-structured data extraction from the Web"):
  Abstract: Abstract   Integrating a large number of Web information sources may significantly increase the utility of the World-Wide Web. A promising solution to the integration is through the use of a Web Information mediator that provides seamless, transparent access for the clients. Information mediators need  wrappers  to access a Web source as a structured database, but building wrappers by hand is impractical. Previous work on wrapper induction is too restrictive to handle a large number of Web pages that contain tuples with missing attributes, multiple values, variant attribute permutations, exceptions and typos. This paper presents SoftMealy, a novel wrapper representation formalism. This representation is based on a finite-state transducer (FST) and contextual rules. This approach can wrap a wide range of semistructured Web pages because FSTs can encode each different attribute permutation as a path. A SoftMealy wrapper can be induced from a handful of labeled examples using our generalization algorithm. We have implemented this approach into a prototype system and tested it on real Web pages. The performance statistics shows that the sizes of the induced wrappers as well as the required training effort are linear with regard to the structural variance of the test pages. Our experiment also shows that the induced wrappers can generalize over unseen pages.

Includes members:
  Member "Semi-automatic wrapper generation for Internet information sources":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "W3QS: A Query System for the World-Wide Web")
  Member "From Wrapping to Knowledge":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "An unsupervised technique to extract information from semi-structured web pages")
  Member "Crawling programs for wrapper-based applications":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "An Architecture for Efficient Web Crawling")

Question: Please tell me which research area the co-authored paper (i.e., the source paper of the center hyperedge) belongs to. The 4 classes are: Computer science, Mathematics, Engineering, Economics, Psychology, Business. Directly output the class name.

gpt: Computer science