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Computer Science > Information Retrieval

arXiv:2410.17258 (cs)
[Submitted on 6 Oct 2024]

Title:Representing Web Applications As Knowledge Graphs

Authors:Yogesh Chandrasekharuni
View a PDF of the paper titled Representing Web Applications As
Knowledge Graphs, by Yogesh Chandrasekharuni
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    Abstract:Traditional methods for crawling and parsing web
    applications predominantly rely on extracting hyperlinks from
    initial pages and recursively following linked resources. This
    approach constructs a graph where nodes represent unstructured
    data from web pages, and edges signify transitions between them.
    However, these techniques are limited in capturing the dynamic
    and interactive behaviors inherent to modern web applications. In
    contrast, the proposed method models each node as a structured
    representation of the application's current state, with edges
    reflecting user-initiated actions or transitions. This structured
    representation enables a more comprehensive and functional
    understanding of web applications, offering valuable insights for
    downstream tasks such as automated testing and behavior analysis.

Subjects: Information Retrieval (cs.IR); Artificial Intelligence
          (cs.AI)
Cite as:  arXiv:2410.17258 [cs.IR]
          (or arXiv:2410.17258v1 [cs.IR] for this version)
          https://doi.org/10.48550/arXiv.2410.17258
          Focus to learn more
          arXiv-issued DOI via DataCite

Submission history

From: Yogesh Chandrasekharuni [view email]
[v1] Sun, 6 Oct 2024 02:50:41 UTC (875 KB)
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