CLDBIRJun 28, 2015

WYSIWYE: An Algebra for Expressing Spatial and Textual Rules for Visual Information Extraction

arXiv:1506.08454v22 citations
Originality Incremental advance
AI Analysis

This addresses the need for more robust and layout-aware information extraction tools for web data processing, though it is incremental as it builds on existing rule-based frameworks.

The paper tackles the problem of information extraction from webpages by proposing a framework that allows declarative specification of rules based on visual layout, leading to simpler and more robust extraction rules, and demonstrates its efficiency for extracting software requirements from product pages.

The visual layout of a webpage can provide valuable clues for certain types of Information Extraction (IE) tasks. In traditional rule based IE frameworks, these layout cues are mapped to rules that operate on the HTML source of the webpages. In contrast, we have developed a framework in which the rules can be specified directly at the layout level. This has many advantages, since the higher level of abstraction leads to simpler extraction rules that are largely independent of the source code of the page, and, therefore, more robust. It can also enable specification of new types of rules that are not otherwise possible. To the best of our knowledge, there is no general framework that allows declarative specification of information extraction rules based on spatial layout. Our framework is complementary to traditional text based rules framework and allows a seamless combination of spatial layout based rules with traditional text based rules. We describe the algebra that enables such a system and its efficient implementation using standard relational and text indexing features of a relational database. We demonstrate the simplicity and efficiency of this system for a task involving the extraction of software system requirements from software product pages.

Foundations

The foundational work for this paper's niche, ranked by how specifically the neighbourhood builds on it — not by global fame.

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