Clustering of Template-Generated Webpages Using DOM Tree Paths of URLs

Author:

Bagban Tanveer I.1,Kulkarni Prakash Jayant2

Affiliation:

1. DKTE Society's Textile and Engineering Institute, Ichalkaranji, India

2. Walchand College of Engineering, Sangli, India

Abstract

Web templates are layouts for webpages that enable rapid and easy access to web content. Web data integration solutions use template based wrapper tools to extract product information from e-commerce websites. Given a collection of webpages, wrapper tools are used to discover the template portion of a webpage and extract data from it. These wrapper based data extraction techniques require pages created with the same template belong to the same cluster. Clustering these webpages based on their template is a significant challenge. While there are algorithms for clustering webpages based on their template, they are computationally intensive to be applied at web scale. By examining the DOM tree paths of URLs on a webpage, the proposed work presents a highly scalable methodology for clustering template-generated webpages. Further, the locality sensitive hashing (LSH) technique is used to reduce the cost of clustering. The proposed technique is found to be more precise and cost effective than the existing baseline methods when tested on three separate real-time data sets.

Publisher

IGI Global

Subject

Artificial Intelligence,Computer Graphics and Computer-Aided Design,Computer Networks and Communications,Computer Science Applications,Software

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5. Roadrunner: Towards automatic data extraction from large web sites.;V.Crescenzi;Proceedings of the 27th International Conference on Very Large Data Bases,2001

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