Intro

This repository contains documentation and code related to the extraction of triples from tables on the Web. Initially, this project is focused on Wikipedia tables.

Relevant papers/presentations (added on 16/01/2018)

• SCULPT: a Schema Language for Tabular Data on the Web https://arxiv.org/pdf/1411.2351.pdf
• A framework for annotating CSV-like data http://www.vldb.org/pvldb/vol9/p876-arenas.pdf
• Web Table Taxonomy and Formalization https://pdfs.semanticscholar.org/b9af/d419b927ab8727f1a5355e01bdbea0290004.pdf
• Entity Linking in Web Tables with Multiple Linked Knowledge Bases https://link.springer.com/chapter/10.1007/978-3-319-50112-3_18
• Extending DBpedia (LOD) using WikiTables https://speakerdeck.com/emunoz/wikitables-deri-talk
• Mining Semi-structured Data: Understanding Web-tables https://speakerdeck.com/emunoz/mining-semi-structured-data-understanding-web-tables
• Using Linked Data to Mine RDF from Wikipedia's Tables http://emunoz.org/publications/files/WSDM2014.pdf
• Recovering Semantics of Tables on the Web http://www.vldb.org/pvldb/vol4/p528-venetis.pdf
• Applying WebTables in Practice https://static.googleusercontent.com/media/research.google.com/en//pubs/archive/43806.pdf
• Schema Integration of Web Tables (SIWeT) http://icomet.iba-suk.edu.pk/iccms2017/files/43.pdf
• Ad Hoc Table Retrieval using Semantic Similarity https://arxiv.org/abs/1802.06159
• TabVec: Table Vectors for Classification of Web Tables https://arxiv.org/abs/1802.06290
• On-the-fly Table Generation https://arxiv.org/abs/1805.04875 and https://www.researchgate.net/publication/325130549_On-the-fly_Table_Generation/references
• Neural Semantic Parsing with Type Constraints for Semi-Structured Tables http://aclweb.org/anthology/D17-1160
• Dresden Web Table Corpus (DWTC) https://wwwdb.inf.tu-dresden.de/research-projects/dresden-web-table-corpus/
• IDEL: In-Database Entity Linking with Neural Embeddings https://www.researchgate.net/publication/323746967_IDEL_In-Database_Entity_Linking_with_Neural_Embeddings
• Web-Scale Web Table to Knowledge Base Matching https://ub-madoc.bib.uni-mannheim.de/43123/1/thesis.pdf
• Leveraging Wikipedia Table Schemas for Knowledge Graph Augmentation https://dl.acm.org/citation.cfm?id=3201468

Programming

How to parse tables from Wikipedia/HTML

• https://stackoverflow.com/questions/38763293/how-to-get-table-data-from-wikipedia-page
• https://roche.io/2016/05/scrape-wikipedia-with-python and associated source code at https://github.com/rocheio/wiki-table-scrape/blob/master/wikitablescrape.py
• https://github.com/bcicen/wikitables
• https://gist.github.com/wassname/5b10774dfcd61cdd3f28
• http://srome.github.io/Parsing-HTML-Tables-in-Python-with-BeautifulSoup-and-pandas/
• https://qxf2.com/blog/web-scraping-using-python/

Clustering of tables

• TBC