Upgrade to Pro
— share decks privately, control downloads, hide ads and more …
Speaker Deck
Features
Speaker Deck
PRO
Sign in
Sign up for free
Search
Search
青学「社会と情報」2021 #05 行政文書はMarkdown化できるか
Search
Sponsored
·
Your Podcast. Everywhere. Effortlessly.
Share. Educate. Inspire. Entertain. You do you. We'll handle the rest.
→
furuhashlab
November 02, 2021
Education
330
0
Share
Embed
Copy iframe code
Copy JS code
Copy link
Start on current slide
青学「社会と情報」2021 #05 行政文書はMarkdown化できるか
© mapconcierge, CC BY-SA 4.0
furuhashlab
November 02, 2021
More Decks by furuhashlab
See All by furuhashlab
津田塾 地理情報システム入門2022 #02
furuhashilab
0
210
津田塾地理情報システム入門2022 #01
furuhashilab
0
260
空間情報システム入門I #06
furuhashilab
0
190
20220712_情報社会論 #13
furuhashilab
0
230
20220705_情報社会論 #12
furuhashilab
0
250
空間情報システム入門I #03
furuhashilab
0
210
20220628_情報社会論 #11
furuhashilab
0
270
空間情報システム入門I #02
furuhashilab
0
210
20220622_情報社会論 #10
furuhashilab
0
250
Other Decks in Education
See All in Education
Where Data Meets Storytelling
georgesinnott
0
130
[2026前期火5] 論理学(京都大学文学部 前期 第5回)「 ならばの問題演習・proof net・かつの規則」
yatabe
0
370
AI-Based Speaking Assessment of a Short-Term Study Abroad Program
uranoken
0
380
View Manipulation and Reduction - Lecture 9 - Information Visualisation (4019538FNR)
signer
PRO
1
2.8k
Estimating Group × Time Interaction in Scale-Transformed CEFR-J Self-Assessment Scores: A Case in Study-Abroad Research
uranoken
0
140
[2026前期火5] 論理学(京都大学文学部 前期 第8回)「正規化定理の証明」
yatabe
0
240
2026年度春学期 統計学 第9回 確からしさを記述する ー 確率 (2026. 5. 28)
akiraasano
PRO
0
160
Visionary Initiative: Materials-Positive Society 「モノの進化をポジティブな社会の原動力に」|Science Tokyo(東京科学大学)
sciencetokyo
PRO
0
760
モブ社員がモブエンジニアを名乗って得られたこと_20260413
masakiokuda
4
560
From Days to Minutes: How We Taught an AI to Onboard 50+ Tenants on our AI Features
mfcabrera
0
210
[2026前期火5] 論理学(京都大学文学部 前期 第2回)「論理的な正しさはどこにあるのか」
yatabe
0
1k
Gitがない時代 インターネットがない時代の 開発話
sapi_kawahara
0
330
Featured
See All Featured
Into the Great Unknown - MozCon
thekraken
41
2.6k
Introduction to Domain-Driven Design and Collaborative software design
baasie
1
910
Improving Core Web Vitals using Speculation Rules API
sergeychernyshev
21
1.5k
Automating Front-end Workflow
addyosmani
1370
210k
CSS Pre-Processors: Stylus, Less & Sass
bermonpainter
360
30k
State of Search Keynote: SEO is Dead Long Live SEO
ryanjones
0
220
End of SEO as We Know It (SMX Advanced Version)
ipullrank
3
4.3k
Stewardship and Sustainability of Urban and Community Forests
pwiseman
0
380
Why You Should Never Use an ORM
jnunemaker
PRO
61
9.9k
JAMstack: Web Apps at Ludicrous Speed - All Things Open 2022
reverentgeek
1
500
New Earth Scene 8
popppiees
3
2.4k
How to Build an AI Search Optimization Roadmap - Criteria and Steps to Take #SEOIRL
aleyda
1
2.1k
Transcript
ٿࣾձڞੜֶ෦ۭؒใαϒΫϥελݹڮେ 5BJDIJ'VSVIBTIJ (FPTQBUJBM*OGPSNBUJPO$MVTUFS (MPCBM4UVEJFTBOE$PMMBCPSBUJPO "PZBNB(BLVJO6OJW ࣾձͱใ ޙظतۀ
IUUQTKBXJLJQFEJBPSHXJLJ(*("&#&"'&#$&"#&"#&#
IUUQTXXXNFYUHPKQB@NFOVPUIFSJOEFY@IUN
IUUQTQSPKFDUOJLLFJCQDPKQQDBUDM 44JNHWJFX'%
IUUQTQSPKFDUOJLLFJCQDPKQQDBUDM 44JNHWJFX'%
(*("εΫʔϧ͕ػೳ͢Δʹ Ҭͷ l*$5ࢧԉһz֦ॆ͕伴͡Όͳ͍͔
ֶߍ͔Βʮ߹ߍʯ ڭҭ͔Βʮڞҭʯ Ҭͷਓاۀ͕ڭҭʹؔΘΔίϯηϓτ
ઌिͷ՝
None
None
ΈΜͳͷ࡞ྫ
lඇ(*("εΫʔϧੈzͰ͋Δ ݱେֶੜ͕ ҙ͓ࣝͯ͘͜͠ͱʂ
Έͳ͞ΜͷޙΖ͔Β l(*("εΫʔϧੈz͕ ώλώλͱޙΛ͖ͬͯ·͢ɻ
ඇ(*("εΫʔϧੈʹ1$ۤख (*("εΫʔϧੈʹ1$͑Δ ;ੈ
(*("εΫʔϧੈͷ ౿Έʹ͞Εͳ͍Α͏ʹʂ
(*("εΫʔϧੈͱ ରʹΓ͋͑Δ*5εΩϧΛ ຏ͍͓ͯ͘ॏཁੑ
͋ͳͨ࣍ୈͰ͢ɻ
ࠓͷςʔϚ
ߦจॻ .BSLEPXOԽͰ͖Δ͔ʁ
IUUQTOPUFDPNIBM@TLOOBDBBGE
.BSLEPXO ϚʔΫμϯ
IUUQTKBXJLJQFEJBPSHXJLJ.BSLEPXO 8JLJQFEJBΑΓҾ༻ 8JLJQFEJB $$#:4"
λΠτϧ αϒλΠτϧ Օॻ͖ Օॻ͖ Օॻ͖ ΠλϦοΫ
ଠࣈ <ϦϯΫ໊> ϦϯΫ63- <ը૾໊> ը૾ϑΝΠϧ63-
IUUQTIBDLNEJP!S9/&/4B4B8D2[-'0J2#L7HO:(-:
σδλϧி 1. ϓϩδΣΫτϚωʔδϟʔ !IBM@TL ࣏ؔ೭
IUUQTUXJUUFSDPNIBM@TLTUBUVT
IUUQTXXXMJOLFEJODPNJOIBMTL
IUUQTOPUFDPNIBM@TLOOBDBBGE
ࢀরɿ๏ҊޡΓ࠶ൃࢭϓϩδΣΫτνʔϜऔΓ·ͱΊ֓ཁ
ࠓͷ՝
จ෦Պֶল ʮߴֶߍֶशࢦಋཁྖղઆʯͷ 1%'ϑΝΠϧΛ.BSLEPXOʹมͯ͠ ม݁Ռͷ1FSNBMJOLΛ (PPHMF$MBTTSPPNʹఏग़͍ͯͩ͘͠͞ɻ
ৄࡉ .BSLEPXO࡞࡞ۀ)BDL.%Λ༻͍Δ͜ͱɻᘳΛࢦ͞ͳͯ͘0,ɻ ෆཁͳεϖʔεɺվߦআ͢Δ͜ͱɻจॻͱͯ͠ಡΈ͘͢͢Δ͜ͱ͕ େલఏɻஈམͳͲͷ֊ߏͳͲ֤ࣗͰஅ͢Δ͜ͱɻ ਤදը૾ͱͯ͠ຒΊࠐΉ͜ͱɻ ୲ઌணॱɻ࡞ۀ༻εϓϨουγʔτʹ໊લΛॻ͘͜ͱɻ
୲ҰਓϖʔδҎɻ͓ͦΒ͘1%'ͷޙΖϖʔδগͳ͍ͷͰϦ ΞϧλΠϜࢀՃ͍ͯ͠Δֶੜ͕༗རͷͣɻ 1%'͔Β.BSLEPXOͷมख࡞ۀͰɺมπʔϧΛͬͯྑ͍ɻ )BDL.%ڞ༗ઃఆʮฤूʯϞʔυɺʮશһʯӾཡՄೳɺʮϩάΠϯࡁ ΈऀʯฤूՄೳͱ͢Δ͜ͱɻ )BDL.%ͷ1FSNBMJOL63-͕(PPHMF$MBTTSPPN՝ͷʮϦϯΫʯͱͯ͠ ఏग़Ͱ͖ͳ͍߹ʮυΩϡϝϯτʯͱͯ͠ఏग़ɻ
࡞ۀ༻εϓϨουγʔτ IUUQTEPDTHPPHMFDPNTQSFBETIFFUTEL3U[$YMXVO*E(L'963B.#",N0WU$&(EQL.FEJU VTQTIBSJOH
IUUQTIBDLNEJP!S9/&/4B4B8D2[-'0J2SLN.&"6UFEJU ࡞ۀαϯϓϧPO)BDL.%
ఏग़ํ๏ͷ%&.0
ݹڮେ5BJDIJ'636)"4)* !NBQDPODJFSHF