- Agenda
- debrief on UN presentation
- what worked
- what didn't work
- what impact we had
- cleaning up (making sure we have all the material documented and archived)
- protocol for next time
- daily/weekly timetable
- chapters web pages (need to be able to display each chapter instantly to the world)
- contents
- title,
- toc,
- exec summary,
- intro,
- faqs,
- knowledge gaps
- editor comments
- .md files for hyperbook
- use of github/discussions to keep notes
- our working practices are part of our output! They must be a showcase
Presentation to UN, GITA Talk
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Aim: non technical audience message is more important then technical issue
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Brand semanticClimate works
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We have produced new slides Peter, Gita, Manny
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yesterday was political meeting
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Giving message is important.
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Grants:
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How we can manage, so that we can get fund from that
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Intraction with public
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Next Hackathon for wikimedian
WE need IPCC onboarding
- Next Technical Hackathon: In Janurary
- UNDP head of india. very successful meeting will SPARC
Issue: UNlibrary did`t target us because lack of contacts
Political meeting Focus on grants Work on grants
2 days to install py4ami
- virtual env. Hosting vml file
Angram: Yake, Rake
Hypermedia
content of system hypergraph
- WIKIDATA
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dictionaries
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py4ami pdf2html is being refactored
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review of proposal
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Flow HTML for Chapters
- Doing central program
- Dict. most important to show to the world
- Grants putting can be sensitive
- Wikimedia grants can be sensitive
- AXEL:
- How to get funding from wikimedia
- we got funded by wikimedia thrice
- Structured terminology, links
summerise chapter
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GPT3: open access is available
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Automated Dict. observation
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False negative
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true positive
- We need 3 dictionaries for each chapter. There must be no obvious false positives (e.g. not "total pages") - that may need manual filtering
- Abbreviations
- Keywords/phrases (docanalysis)
- Manual
- For each dictionary, In order of value. Do as much as you can
- A list of words/phrases
- A valid XML file wth
- Wikidata IDs with ambiguities
- Wikidata IDs resolved, with description
- software issue dicussion
- Chapter specific
- Climate specific
- More general
- link to wikidataID
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Review of DID/WILL/BLOCK
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Review of dictionaries
- @Karthikeyan V: chapter05
- @Parasu Nagesh Sunag: chapter03
- @Mandeep: chapter06
- @Priti: chapter17
- Use table with numbers and traffic lights. light green means can-be-displayed. Should contain:
- abbreviations
- manual
- word/phrases
- explanation of chapters
- dictionaries
- ExecSummary
- FAQs
- Intro
- knowledge gaps
- list of images if possible
- Jupyter notebook
- presentations for Southern Univ Denmark
- review of materials (mainly those above)
- explanation of chapters()
- dictionaries
- ExecSummary
- FAQs
- Intro
- knowledge gaps
- list of images if possible
- Jupyter notebook
- presentations for Southern Univ Denmark
- review of materials (mainly those above)
- explanation of chapters(manual summary that can be understandable by high school student)
- dictionaries
- Manual Dict(created by Chapter owner)
- Abbrevation Dict(created by Docanalysis using specific library spacy)
- Keyword and phrases(created by gensim)
- ExecSummary(Just copy paste from chapter)
- FAQs(Just copy paste from chapter)
- Intro(Just copy paste from chapter)
- knowledge gaps(Just copy paste from chapter)
- Jupyter notebook
- presentations for Southern Univ Denmark
- review of materials (mainly those above)
DENMARK VISIT: @GY, @Axel Dürkop, @Simon Worthington, @Shweata Hegde Discussed this visit in depth. The 4 current team below will create a series of presentations. @Peter Murray-Rust will coordinate these . Details may change *Introduction to IPCC chapters @Priti ca 3 minutes review by Chapter Owners @Mandeep (Chapter06)
@Parasu Nagesh Sunag(Chapter03)
@Karthikeyan V(Chapter05) ca 2 mins: personal summary of chapter 30 secs demo of IPCC component (ONE of FAQ, ExecSummary, Knowledge gaps, etc>) review of ONE dictionary (from Abbreviation, Manual, NLP/ML) We will rehearse these tomorrow at 0900 UTC. @Priti please coordinate who does which component and who does which dictionary Date 12th Dec time 14:15 - 15:00 Central European Time @Peter will add more details in #dictionaries and #outreach
Meeting with Southern university
Meeting wwith Joe Miller
Actions: Work on extraction of images Work on chapter readme files
- Intern ROADMAP
- high-level tasks (documents and software)
- 3 per-chapter dictionaries (manual, abb, keyphrase NLPconsistent nomenclature validation reference material (non-Wikidata) entry-status (e.g. NYI) review of NLP methods
- merge common terms between chapters
- chapter snippets
- exec summary
- introduction
- other sections
- FAQ
- knowledge gaps
- ToC
- captions
- images (numbered by IPCC)
- tables
- explore hypermedia systems
- obsidian
- markup HTML chapters with dictionaries
SemanticClimate Vision
-toolkit for a typical chapter.
-protocol
-code
-docs,
-examples
-dictionaries
-knowledge graph
-for each chapter
-dictionaries
-annotated chapters
-knowledge graph
-unify / automate for "all" IPCC
-chapters
-dictionaries
-presentations
-videos
-workshops?
Roadmap: semanticClimate will create starter toolkits for any new project, including workshops. Other projects:
- phytochemistry 2 interns (also @Manny)
- chemistry dictionary (exists in CEVOpen)
- plants dictionary (also CEVOpen)
- imageanalysis semanticClimate (barcharts) (0.5-2 people) joined by @Anuv (info only) website for @GY(0.5 person)