Representing Web Applications as Knowledge Graphs

EasyChair Preprint 15273

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.

Keyphrases: Knowledge Graph, Web Crawler, data representation

@booklet{EasyChair:15273,
  author    = {Yogesh Chandrasekharuni},
  title     = {Representing Web Applications as Knowledge Graphs},
  howpublished = {EasyChair Preprint 15273},
  year      = {EasyChair, 2024}}