[Paper Review] A Benchmark Suite for Template Detection and Content Extraction

Julián Alarte, Josep Silva|arXiv (Cornell University)|Sep 22, 2014

Web Data Mining and Analysis2 references3 citations

TL;DR

This paper introduces TECO, a publicly available benchmark suite of 150 heterogeneous, real-world webpages labeled for template detection, content extraction, and main menu identification. The suite enables standardized, automated evaluation and comparison of web content analysis techniques using a gold standard for each webpage component.

ABSTRACT

Template detection and content extraction are two of the main areas of information retrieval applied to the Web. They perform different analyses over the structure and content of webpages to extract some part of the document. However, their objective is different. While template detection identifies the template of a webpage (usually comparing with other webpages of the same website), content extraction identifies the main content of the webpage discarding the other part. Therefore, they are somehow complementary, because the main content is not part of the template. It has been measured that templates represent between 40% and 50% of data on the Web. Therefore, identifying templates is essential for indexing tasks because templates usually contain irrelevant information such as advertisements, menus and banners. Processing and storing this information is likely to lead to a waste of resources (storage space, bandwidth, etc.). Similarly, identifying the main content is essential for many information retrieval tasks. In this paper, we present a benchmark suite to test different approaches for template detection and content extraction. The suite is public, and it contains real heterogeneous webpages that have been labelled so that different techniques can be suitable (and automatically) compared.

Motivation & Objective

• To address the lack of publicly available, heterogeneous benchmark suites for evaluating template detection and content extraction techniques.
• To provide a gold standard for labeling templates, main content, and main menus in real webpages to ensure consistent evaluation.
• To support both testing and evaluation phases by offering disjoint benchmark sets for parameter tuning and performance measurement.
• To enable reproducible research by requiring public reporting and full experimental documentation from users of the suite.
• To extend the benchmark suite over time with new websites and additional labeling for menu detection, ensuring long-term utility.

Proposed method

• The TECO benchmark suite was constructed by downloading 150 real websites using tools like wget and SiteSucker, ensuring diverse content types and languages.
• Websites were selected to cover a broad range of domains, including news, blogs, forums, e-commerce, and personal sites, ensuring heterogeneity.
• Each webpage was manually labeled to identify the main content, template regions, and main menu elements, creating a gold standard for evaluation.
• The suite includes automated scripts to streamline benchmarking, enabling researchers to test and compare their techniques efficiently.
• The benchmarking process separates testing and evaluation sets to prevent data leakage and ensure fair performance measurement.
• The suite is version-controlled and publicly hosted, with ongoing updates to include new websites and labels, such as the addition of 20 new benchmarks in the final year.

Experimental results

Research questions

• RQ1 How can a standardized, publicly available benchmark suite improve the reproducibility and comparability of template detection and content extraction techniques?
• RQ2 To what extent does the inclusion of diverse, real-world websites enhance the generalizability of evaluation results across different web structures?
• RQ3 Can a unified gold standard for templates, main content, and main menus enable consistent and objective evaluation across multiple research groups?
• RQ4 How does the separation of testing and evaluation sets in the benchmark suite affect the reliability of performance measurements?
• RQ5 What impact does the inclusion of multilingual websites have on the robustness of content extraction and template detection algorithms?

Key findings

• The TECO benchmark suite comprises 150 real-world, heterogeneous webpages spanning multiple domains, languages, and structures, ensuring broad applicability.
• The suite includes a manually curated gold standard labeling main content, templates, and main menus for each webpage, enabling precise evaluation.
• The benchmark suite is publicly available and free to use, with a requirement for researchers to publish results and provide full experimental reproducibility.
• The suite supports automated benchmarking through provided scripts, streamlining integration into research workflows.
• The authors report that prior benchmark suites were either unavailable, proprietary, or unsuitable for template detection, justifying the creation of TECO.
• The suite has been expanded over time, starting from 65 to 150 websites, with ongoing updates to maintain relevance and coverage.