Unstable markup: A template-based information extraction from web sites with unstable markup

TL;DR

This paper introduces a template-based web crawling method to extract structured data from unstable web markup, linking entities to Linked Open Data sources, demonstrated on CEUR Workshop proceedings.

Contribution

The work presents an extensible template-dependent crawler that effectively extracts and links entities from web pages with unstable markup, improving semantic data extraction.

Findings

Successfully converted CEUR proceedings to LOD dataset

Linked extracted entities to DBpedia for semantic enrichment

Demonstrated robustness on pages with unstable markup

Abstract

This paper presents results of a work on crawling CEUR Workshop proceedings web site to a Linked Open Data (LOD) dataset in the framework of ESWC 2014 Semantic Publishing Challenge 2014. Our approach is based on using an extensible template-dependent crawler and DBpedia for linking extracted entities, such as the names of universities and countries.