Data Extraction from Web Tables: The Devil is in the Details
Authors:
- George NagyGNGeorge Nagy
- Sharad SethSSSharad Seth
- Dongpu JinDJDongpu Jin
- David W. EmbleyDEDavid W. Embley
- Spencer MachadoSMSpencer Machado
- Mukkai KrishnamoorthyMKMukkai Krishnamoorthy
- 1 September 2011
- conference paper
- Published by Institute of Electrical and Electronics Engineers (IEEE)
- No. 15205363,p. 242-246
Abstract
We present a method based on header paths for efficient and complete extraction of labeled data from tables meant for humans. Although many table configurations yield to the proposed syntactic analysis, some require access to semantic knowledge. Clicking on one or two critical cells per table, through a simple interface, is sufficient to resolve most of these problem tables. Header paths, a purely syntactic representation of visual tables, can be transformed ("factored") into existing representations of structured data such as category trees, relational tables, and RDF triples. From a random sample of 200 web tables from ten large statistical web sites, we generated 376 relational tables and 34,110 subject-predicate-object RDF triples.Keywords
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