DBpedia italiana
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Introduzione alla DBpedia italiana per il primo mapping sprint al liceo Bertrand Russell di Cles
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Recommended
Stelline 2013 - Salvatore Vassallo
Biblioteca in cerca di alleati. Oltre la condivisione, verso nuove strategie.
Stelline, Milano 15 marzo 2013.
Sessione: "Biblioteche, Archivi, Musei: la convergenza possibile".
"L'integrazione tra archivi e biblioteche alla prova del web semantico".
intervento di Salvatore vassallo, dottore di ricerca in Scienze Bibliografiche.
Programma: convegnostelline.it/sessione.php?IdUnivoco=7
Fotografie: picasaweb.google.com/117290793877692021380/ConvegnoStelline2013?authuser=0&feat=directlink
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additional presenter: Ali Ismayilov)
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In conjunction with Wikipedia's 15 birthday.
Project page: https://meta.wikimedia.org/wiki/Grants:IEG/StrepHit:_Wikidata_Statements_Validation_via_References
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Primo mapping sprint della DBpedia italiana
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More from Marco Fossati
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This document outlines a Google Summer of Code project to teach machines to extract facts from Wikipedia articles by using machine learning and lexical semantics. It discusses extracting lexical units through part-of-speech tagging and statistical ranking, classifying frames and frame elements in an unsupervised or supervised manner, constructing a crowdsourced training set, and serializing the extracted facts into RDF triples for inclusion in DBpedia to discover new relations and populate the knowledge base automatically. The approach is demonstrated on soccer domain articles from the Italian Wikipedia.
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Primo mapping sprint della DBpedia italiana
Gli studenti del liceo Bertrand Russell di Cles imparano a fare un mapping per aumentare la qualità dei dati nella DBpedia italiana
On Data quality
This document discusses challenges and solutions related to data quality. It addresses issues with template-dependent and fully manual mapping approaches and proposes machine learning-based methods and mapping assistants as solutions. It also discusses problems with community-based ontologies like lack of coverage and proposes consistency checks and data-driven schemas using sources like Wikipedia categories to address them. Finally, it lists various multimedia data sources for photos, audio and video that could be linked.
Outsourcing FrameNet to the Crowd
This document discusses outsourcing FrameNet annotation to crowdsourcing. It presents a two-step and simplified one-step methodology for crowdsourcing frame and semantic role annotation. Experiments using these methods on the CrowdFlower platform showed that the simplified one-step approach had higher accuracy and was faster than the two-step approach. Lessons learned include that definitions need to be simplified for non-experts and negation and modality are difficult concepts. Further research directions include larger-scale experiments and linking entities to structured knowledge bases.
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DBpedia: Glue for all Wikipedias and a Use Case for Multilingualism
DBpedia: Glue for all Wikipedias and a Use Case for Multilingualism
DBpedia italiana
- 1. Text DBpedia Italiana La banca di conoscenza aperta Cles, 16 aprile 2014
- 2. Cos’è 160 milioni di fatti Dati strutturati ad alta qualità Licenze aperte Big Linked Open Data Da Wikipedia in italiano “Cles è un luogo”
- 3. Cos’è Associazione mondiale, 190 lingue Patrocinata da Google Summer of Code
- 4. In azione! Trova i collegamenti
- 5. Applicazioni
- 6. Per tutti Knowledge Graph, in italiano Riassunti ad alto contenuto informativo Question Answering “A che altitudine si trova Cles?”
- 7. Natural Language Processing Riconoscimento di entità (aziende, luoghi, persone, concetti) in documenti multilingue dataTXT
- 8. Grazie per l’attenzione! Marco Fossati - fossati@fbk.eu Anna Saini - anna.saini@unitn.it