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DATA TXT Making Linked Open Data more usable and accessible using dataTXT semantic text APIs a startup that works on big data and semantic web DATA TXT A named entity extraction API that works very well on short and unstructured texts in English


  1. DATA TXT Making Linked Open Data more usable and accessible using dataTXT semantic text APIs

  2. a startup that works on big data and semantic web

  3. DATA TXT A named entity extraction API that works very well on short and unstructured texts in English and Italian

  4. DATA TXT API DATA TXT API L INKED O PEN D ATA GEONAMES DB PEDIA L INKED C ORPORATE D ATA YAGO YAGO

  5. BENEFITS • No training required • Not based on NLP techniques • Very e ff ective on short sentences • A door to the Web of Data & Linked Data

  6. DATA TXT - NEX N amed E ntity e X traction

  7. “An apple is better than an orange”

  8. http://dbpedia.org/page/Apple http://dbpedia.org/page/Apple_Inc. “An apple is better than an orange” http://dbpedia.org/page/Orange_(colour) http://dbpedia.org/page/Orange_(fruit)

  9. { "confidence": 0.846, "end": 8, "lod": { "wikipedia": "http://en.wikipedia.org/wiki/Apple", "dbpedia": "http://dbpedia.org/resource/Apple" }, "title": "Apple", "abstract": "The apple is the pomaceous fruit of the...", "spot": "apple", "label": "Apple", "Apples", "Sequenced genomes" ], "id": 18978754, "image": { “An apple is better than an orange” "full": "https://upload.wikimedia.org/wikipedia/...", "thumbnail": "https://upload.wikimedia.org/wikipedia/..." }, "types": [ "http://dbpedia.org/ontology/E...", "http://dbpedia.org/ontology/P...", "http://dbpedia.org/ontology/S..." ] }, { "confidence": 0.822, "end": 33, "lod": { "wikipedia": “http://en.wikipedia.org/wiki/Orange_(fruit) "dbpedia": “http://dbpedia.org/resource/Orange_(friut)” }, "title": "Orange (fruit)", "abstract": "The orange (specifically, the sweet ora...", "spot": "orange", "uri": “http://en.wikipedia.org/wiki/Orange_(fruit)” "label": "Orange",

  10. DATA TXT - SIM text SIM ilarity

  11. “Cameron wins the Oscar” “Cameron wins general elections”

  12. “Cameron wins the Oscar similarity 13 % “Cameron wins general elections

  13. “Cameron wins the Oscar” “All nominees for the Academy Awards”

  14. “Cameron wins the Oscar similarity 71 % “All nominees for the Academy Awards

  15. DATA TXT - CL CL assi fi er

  16. “WhatsApp users on what they like and dislike about the messaging app, which has been bought by Facebook.” “Plans for a metro-style train system in Cardi ff could see the development of a transport corridor into Rhondda Cynon Taf.” “Fulham's new boss arrives with a fi erce reputation but may prove their saviour in the battle against relegation.”

  17. “WhatsApp users on what they like and dislike about the messaging app, which has been bought by Facebook. S CIENCE AND T ECHNOLOGY “Plans for a metro-style train system in Cardi ff could see the development of a transport corridor into Rhondda Cynon Taf. E NVIRONMENTAL I SSUE & E CONOMY “Fulham's new boss arrives with a fi erce reputation but may prove their saviour in the battle against relegation S PORT

  18. C USTOMERS

  19. Security Banking & Finance Statistics Social Brand Monitoring Social CRM

  20. dandelion.eu/datatxt/ it.dbpedia.org dataTXT CREATOR OF MANTEINER OF SpazioDati www.spaziodati.eu @SpazioDati

  21. Based on a collaboration with the A3 Lab, University of Pisa Play designed by José Campos from the Noun Project Apple designed by Milky - Digital innovation from the Noun Project Orange designed by Milky - Digital innovation from the Noun Project �

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