extracting linked data from statistic spreadsheets
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Extracting Linked Data from statistic spreadsheets Tien-Duc Cao tien-duc.cao@inria.fr Ioana Manolescu ioana.manolescu@inria.fr Xavier Tannier xtannier@limsi.fr Semantic Big Data workshop, Chicago, May 19th, 2017 Agenda 1. Context: data


  1. Extracting Linked Data from statistic spreadsheets Tien-Duc Cao tien-duc.cao@inria.fr Ioana Manolescu ioana.manolescu@inria.fr Xavier Tannier xtannier@limsi.fr Semantic Big Data workshop, Chicago, May 19th, 2017

  2. Agenda 1. Context: data journalism and journalistic fact-checking 2. Research problem: extracting linked open data from spreadsheets 3. Approach 4. Results 5. Future work Tien-Duc CAO, Ioana Manolescu, Xavier Tannier 
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  3. 1. Fact-checking is a content management problem Human actors Claim to be (journalists, experts, Media content checked (text crowd workers ) or data) Analysis result Verification tool « True / rather true / rather false / false (query, match, Media context source search…) See sources: http://dataref.com… » Reference Reference Reference … information information information source n source 1 source 2 Tien-Duc CAO, Ioana Manolescu, Xavier Tannier 
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  4. 1. Fact-checking is a content management problem Human actors Claim to be (journalists, experts, Claim Media content checked (text crowd workers ) extraction or data) Reconciliation, reputation Analysis result Verification tool « True / rather true / rather false / false Social (query, match, Media context network source search…) analysis See sources: http://dataref.com… » Source search / source selection Reference information source Source d’information n+1 Reference Reference Reference Source d’information de référence n+1 … information information information de référence n+1 source n source 1 source 2 Reference source construction, refinement, integration Tien-Duc CAO, Ioana Manolescu, Xavier Tannier 
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  5. 1. Context • Which data source can help us to fact-check a statistical claim from the media? • E.g: “ The unemployment rate in France last year was 50%? ” • This work is a part of ContentCheck 1 project Tien-Duc CAO, Ioana Manolescu, Xavier Tannier 
 19/05/2017 4 "Extracting linked data from statistic spreadsheets" 1 https://team.inria.fr/cedar/contentcheck/

  6. 2. Research problem: high-quality reference data Existing house price index Available revenue per head • National statistic institutes such as Rent index INSEE 1 , France’s economic and societal statistics institute are often valuable data Consumer price index providers Tien-Duc CAO, Ioana Manolescu, Xavier Tannier 
 19/05/2017 5 1 https://insee.fr/ "Extracting linked data from statistic spreadsheets" http://abonnes.lemonde.fr/les-decodeurs/portfolio/2017/04/18/les-fractures-francaises-1-5-le-logement-les-raisons-de-la-crise_5112859_4355770.html

  7. 2. The road to high quality data… Unfortunately most of the data published by INSEE looks like this (our text coloring): Tien-Duc CAO, Ioana Manolescu, Xavier Tannier 
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  8. 2. The road to high quality data… Sometimes there are more than 1 table per sheet Tien-Duc CAO, Ioana Manolescu, Xavier Tannier 
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  9. 3. Extraction approach Tien-Duc CAO, Ioana Manolescu, Xavier Tannier 
 19/05/2017 8 "Extracting linked data from statistic spreadsheets" Image sources: https://www.iconfinder.com/icons/7661/excel_microsoft_word_xls_icon#size=128 https://www.w3.org/RDF/icons/rdf_w3c.svg

  10. 3. Extraction approach Tien-Duc CAO, Ioana Manolescu, Xavier Tannier 
 9 19/05/2017 "Extracting linked data from statistic spreadsheets" Image sources: https://www.iconfinder.com/icons/7661/excel_microsoft_word_xls_icon#size=128 https://www.w3.org/RDF/icons/rdf_w3c.svg

  11. 3. Approach: finding table boundaries Tien-Duc CAO, Ioana Manolescu, Xavier Tannier 
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  12. 3. Extraction approach Tien-Duc CAO, Ioana Manolescu, Xavier Tannier 
 19/05/2017 11 "Extracting linked data from statistic spreadsheets" Image sources: https://www.iconfinder.com/icons/7661/excel_microsoft_word_xls_icon#size=128 https://www.w3.org/RDF/icons/rdf_w3c.svg

  13. 3. Approach: table extractor • Header cells mostly contain texts • Their positions are at: • the top (header rows) of table • the left (header columns) of table • Having more than 1 header rows/columns indicates data aggregation • Data cells mostly contain numeric values Tien-Duc CAO, Ioana Manolescu, Xavier Tannier 
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  14. 3. Approach: table extractor 1. We distinguish header/data row/columns using • data type of its cells (text, number, special value to indicate a missing value, null for empty cell) • formatting information of its cells: cell’s border, cells belong to merged cell • the types of its neighbor rows/columns 2. Based on these we identify the exact structure of each table Tien-Duc CAO, Ioana Manolescu, Xavier Tannier 
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  15. 3. Conceptual data model Tien-Duc CAO, Ioana Manolescu, Xavier Tannier 
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  16. 4. Results • Collected 16011 Excel spreadsheets, extracted 74117 tables. • Accuracy evaluation: • We selected randomly 100 Excel files à 2432 tables • We visually identified the header cells, data cells and header hierarchy and then compared with those obtained from our system. Tien-Duc CAO, Ioana Manolescu, Xavier Tannier 
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  17. 4. Sample extracted RDF Tien-Duc CAO, Ioana Manolescu, Xavier Tannier 
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  18. 5. Future work Verification tool (query, match, source search…) Source search / source selection Reference Reference Reference information information information source n source 1 source 2 Reference source construction, refinement, integration Tien-Duc CAO, Ioana Manolescu, Xavier Tannier 
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  19. Th Thanks / / q questions? Excel files and extracted RDF files (10.5GB will be expired in May 29 th 2017) https://goo.gl/4Y5Dtv Source code: no expiration date :) https://gitlab.inria.fr/cedar/insee-crawler https://gitlab.inria.fr/cedar/excel-extractor Tien-Duc CAO, Ioana Manolescu, Xavier Tannier 
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