Article
Version 1
This version is not peer-reviewed
Representing Web Applications As Knowledge Graphs
Version 1
: Received: 9 October 2024 / Approved: 10 October 2024 / Online: 10 October 2024 (04:55:26 CEST)
How to cite: Chandrasekharuni, Y. Representing Web Applications As Knowledge Graphs. Preprints 2024, 2024100755. https://doi.org/10.20944/preprints202410.0755.v1 Chandrasekharuni, Y. Representing Web Applications As Knowledge Graphs. Preprints 2024, 2024100755. https://doi.org/10.20944/preprints202410.0755.v1
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.
Keywords
Knowledge Graphs; Web Appllications; Language Models
Subject
Computer Science and Mathematics, Artificial Intelligence and Machine Learning
Copyright: This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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