strephit ieg kick-off seminar

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STREPHIT A WIKIMEDIA FOUNDATION IEG PROJECT MARCO FOSSATI - HJFOCS - [email protected] TRENTO, 15TH JANUARY 2016

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STREPHITA WIKIMEDIA FOUNDATION IEG PROJECT

MARCO FOSSATI - HJFOCS - [email protected]

TRENTO, 15TH JANUARY 2016

HAPPY BIRTHDAY, WIKIPEDIA!

Preamble

PREAMBLE 2

INDIVIDUAL ENGAGEMENT GRANTS

Preamble

PREAMBLE 3

THE FREE KNOWLEDGE BASE

THAT ANYONE CAN EDIT

Preamble

PREAMBLE 4

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MARCO FOSSATI EMILIO DORIGATTI

WHO?

WHO?

‣ ADVISOR: CLAUDIO GIULIANO ‣ VOLUNTEERS: ‣ AUVA87, BOLIOLIANDREA, DANROK,

NISPRATEEK, PROJEKT ANA, VLADIMIR ALEXIEV

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WHAT?

‣ IS A NLP PIPELINE ‣ HARVESTS STRUCTURED DATA FROM

RAW TEXT ‣ PRODUCES WIKIDATA CONTENT WITH

REFERENCES

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WHY?

1. THE CRITICAL ISSUE 2. THE VISION 3. THE TECHNICAL PROBLEM

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▸Reliability of content across Wikimedia projects

▸ Trust needed on the content addition process

▸Mature in Wikipedia, but what about Wikidata?

WHY

THE CRITICAL ISSUE

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WHY

THE CRITICAL ISSUE

▸ StrepHit = novel, automatic process

▸Generates trust and reliability over Wikidata content

▸Alleviates the burden of manual curation

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WHY

THE VISION

▸Wikidata as a central Open Data hub

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WHY

THE TECHNICAL PROBLEM

▸Content should be validated against third-party resources

▸References to external authoritative sources

▸Ensure at least one reference for each piece of data

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HOW?

‣ INPUT = PRIMARY SOURCES CORPUS ‣ OUTPUT = DATASET FOR WIKIDATA ‣ AUTHENTICATE EXISTING CONTENT ‣ PROPOSE NOVEL CONTENT ‣ VIA REFERENCES TO SUCH SOURCES

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HOW?

‣ LEXICOGRAPHICAL ANALYSIS ‣ RELATION EXTRACTION ‣ FRAME SEMANTICS ‣ MACHINE LEARNING

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HOW

MAIN TASKS

1. Sources selection

2. Corpus harvesting

3. Corpus analysis

4. Frame repository selection

5. Training set construction

6. Frame extraction

7. Dataset production

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WHERE?PRIMARY SOURCES TOOL

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A. BIOGRAPHIES B. COMPANIES C. BIOMEDICAL

which domain?

FIRST STEP 17

THANKS NEMO FOR OUR PRECIOUS CONVERSATION

FIRST STEP

BIOGRAPHIES

▸ plenty of existing data

▸ broad coverage

▸ potentially easy to find valuable primary sources

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LIBRARIANS, WHAT DO YOU THINK?

FIRST STEP

COMPANIES

▸ relatively biased domain

▸ ad-prone content

▸ the company edits the page on the company itself

▸ low-quality data

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FIRST STEP

BIOMEDICAL

▸ great primary source

▸ PubMed: scientific papers

▸ proof of usage for an Open Access corpus

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OPEN DISCUSSION DOMAIN + SOURCES SELECTION

MARCO FOSSATI - HJFOCS - [email protected]

TRENTO, 15TH JANUARY 2016

THIS WORK IS LICENSED UNDER A CC BY SA 4.0 LICENSE

https://pad.okfn.org/p/strephit