[B! dataset] InoHiroã®ãƒ–ãƒƒã‚¯ãƒžãƒ¼ã‚¯

InoHiro id:InoHiro

datasetã«é–¢ã™ã‚‹InoHiroã®ãƒ–ãƒƒã‚¯ãƒžãƒ¼ã‚¯ (17)

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Discovering millions of datasets on the web
InoHiro 2020/01/25
google

dataset
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Google Dataset Search
â€«Ø§Ù„Ø¹Ø±Ø¨ÙŠØ©â€¬â€ªDeutschâ€¬â€ªEnglishâ€¬â€ªEspaÃ±ol (EspaÃ±a)â€¬â€ªEspaÃ±ol (LatinoamÃ©rica)â€¬â€ªFranÃ§aisâ€¬â€ªItalianoâ€¬â€ªæ—¥æœ¬èªžâ€¬â€ªí•œêµì–´â€¬â€ªNederlandsâ€¬Polskiâ€¬â€ªPortuguÃªsâ€¬â€ªÐ ÑƒÑÑÐºÐ¸Ð¹â€¬â€ªà¹„à¸—à¸¢â€¬â€ªTÃ¼rkÃ§eâ€¬â€ªç®€ä½“ä¸æ–‡â€¬â€ªä¸æ–‡ï¼ˆé¦™æ¸¯ï¼‰â€¬â€ªç¹é«”ä¸æ–‡â€¬
InoHiro 2018/09/06
google

dataset
ãƒªãƒ³ã‚¯
Find Open Datasets and Machine Learning Projects | Kaggle
Download Open Datasets on 1000s of Projects + Share Projects on One Platform. Explore Popular Topics Like Government, Sports, Medicine, Fintech, Food, More. Flexible Data Ingestion.
InoHiro 2017/08/09
kaggle

dataset
ãƒªãƒ³ã‚¯
Craft Beers Dataset
2K+ craft canned beers from the US and 500+ breweries in the United States.
InoHiro 2017/08/09
kaggle

dataset
ãƒªãƒ³ã‚¯
ã€ŒHOME'Sãƒ‡ãƒ¼ã‚¿ã‚»ãƒƒãƒˆã€ã«é«˜ç²¾ç´°åº¦ã®é–“å–ã‚Šå›³ç”»åƒãƒ‡ãƒ¼ã‚¿ã‚’è¿½åŠ ã—ã¾ã—ãŸ - LIFULL Creators Blog
ã“ã‚“ã«ã¡ã¯ã€ãƒªãƒƒãƒ†ãƒ«ãƒ©ãƒœãƒ©ãƒˆãƒªãƒ¼ã®æ¸…ç”°ã§ã™ã€‚ 2015å¹´11æœˆã«æä¾›é–‹å§‹ã—ãŸã€ŒHOME'Sãƒ‡ãƒ¼ã‚¿ã‚»ãƒƒãƒˆã€ã«ã¯ã€ãŠã‹ã’ã•ã¾ã§å¤šãã®ç ”ç©¶è€…ã®æ–¹ã€…ã‹ã‚‰ãŠç”³ã—è¾¼ã¿ã‚’ã„ãŸã ã„ã¦ãŠã‚Šã€ã™ã§ã«20ä»¥ä¸Šã®å¤§å¦ã®ç ”ç©¶å®¤ãƒ»ç ”ç©¶æ©Ÿé–¢ã«ã”æä¾›ã—ã¦ãŠã‚Šã¾ã™ã€‚ ã“ã®ãŸã³ã€ã€ŒHOME'Sãƒ‡ãƒ¼ã‚¿ã‚»ãƒƒãƒˆã€ã«é«˜ç²¾ç´°åº¦ç‰ˆã®é–“å–ã‚Šå›³ç”»åƒãƒ‡ãƒ¼ã‚¿ï¼ˆç´„515ä¸‡ç‚¹ï¼‰ã‚’è¿½åŠ ã—ã¾ã—ãŸã€‚é–“å–ã‚Šå›³ã¯ã€ç‰©ä»¶ã‚¹ãƒšãƒƒã‚¯ãƒ‡ãƒ¼ã‚¿ï¼ˆé¢ç©ã€éƒ¨å±‹æ•°ãªã©ï¼‰ã ã‘ã§ã¯ã‚ã‹ã‚‰ãªã„ä½ã¾ã„ã®ä½¿ã„å‹æ‰‹ã®åˆ¤æ–ææ–™ã®ä¸€ã¤ã¨ã—ã¦ã€å¤šãã®ä½ã¾ã„æŽ¢ã—ãƒ¦ãƒ¼ã‚¶ãƒ¼ã«åˆ©ç”¨ã•ã‚Œã¦ã„ã¾ã™ã€‚ä½ã¾ã„æŽ¢ã—ã«æ–°ãŸãªã‚¤ãƒŽãƒ™ãƒ¼ã‚·ãƒ§ãƒ³ã‚’ã‚‚ãŸã‚‰ã™ã‚ˆã†ãªç ”ç©¶ã«æ´»ç”¨ã•ã‚Œã‚‹ã“ã¨ã‚’æœŸå¾…ã—ã¦ã„ã¾ã™ï¼ ã€ŒHOME'Sãƒ‡ãƒ¼ã‚¿ã‚»ãƒƒãƒˆã€ã¸ã®æœŸå¾…ãƒ»è¦æœ› ã€ŒHOME'Sãƒ‡ãƒ¼ã‚¿ã‚»ãƒƒãƒˆã€ã«ã¯å¤šãã®æ–¹ã€…ã‹ã‚‰ãŠç”³ã—è¾¼ã¿ã‚„ãŠå•ã„åˆã‚ã›ã‚’ã„ãŸã ã„ã¦ãŠã‚Šã¾ã™ãŒã€ãªã‹ã§ã‚‚ç´„8300ä¸‡ç‚¹ã®ç‰©ä»¶ç”»åƒãƒ‡ãƒ¼ã‚¿ã«ã¯ã€deep learningãªã©æœ€å…ˆç«¯ã®ç”»åƒ
InoHiro 2016/02/01
dataset
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ã€ŒHOME'Sã€ã®ç‰©ä»¶ãƒ»ç”»åƒãƒ‡ãƒ¼ã‚¿ã‚»ãƒƒãƒˆã‚’ç ”ç©¶è€…ã«æä¾›é–‹å§‹ã—ã¾ã™ï¼ - LIFULL Creators Blog
ã“ã‚“ã«ã¡ã¯ã€ãƒªãƒƒãƒ†ãƒ«ãƒ©ãƒœãƒ©ãƒˆãƒªãƒ¼ã®æ¸…ç”°ã§ã™ã€‚ ã“ã®ãŸã³ã€å›½ç«‹æƒ…å ±å¦ç ”ç©¶æ‰€(NII)ã®ã”å”åŠ›ã‚’å¾—ã¦ã€HOME'Sã«æŽ²è¼‰ã•ã‚Œã¦ã„ã‚‹æ—¥æœ¬å…¨å›½ã®è³ƒè²¸ç‰©ä»¶ãƒ‡ãƒ¼ã‚¿(ç´„533ä¸‡ä»¶)ã¨ã€ãã‚Œã«ç´ä»˜ãç‰©ä»¶ç”»åƒãƒ‡ãƒ¼ã‚¿(ç´„8300ä¸‡ä»¶)ã‚’ç ”ç©¶è³‡æºã¨ã—ã¦ç„¡å„Ÿæä¾›ã™ã‚‹ã“ã¨ã«ãªã‚Šã¾ã—ãŸã€‚ã‚ã‚ã›ã¦ã€ç”»åƒå‡¦ç†åˆ†é‡Žãªã©ã§æ³¨ç›®ã‚’é›†ã‚ã¦ã„ã‚‹deep learningãªã©ã®æ©Ÿæ¢°å¦ç¿’ã‚¢ãƒ«ã‚´ãƒªã‚ºãƒ ã‚„ã€ãƒ†ã‚ã‚¹ãƒˆãƒžã‚¤ãƒ‹ãƒ³ã‚°å‡¦ç†ãªã©ã‚’ç°¡å˜ã«è©¦ã—ã¦ã„ãŸã ã‘ã‚‹ãƒ„ãƒ¼ãƒ«ã‚ãƒƒãƒˆç¾¤ã‚‚å¹´å†…ã«å…¬é–‹äºˆå®šã§ã™ã€‚ 2015å¹´11æœˆ24æ—¥ã‚ˆã‚Šã€NIIæƒ…å ±å¦ç ”ç©¶ãƒ‡ãƒ¼ã‚¿ãƒªãƒã‚¸ãƒˆãƒªã‚’é€šã˜ã¦HOME'Sãƒ‡ãƒ¼ã‚¿ã‚»ãƒƒãƒˆã¨ã—ã¦æä¾›é–‹å§‹ã—ã¾ã—ãŸã€‚ãœã²å¤šãã®ç ”ç©¶è€…ã®æ–¹ã«ãƒ‡ãƒ¼ã‚¿ã‚»ãƒƒãƒˆã‚’ç ”ç©¶åˆ©ç”¨ã—ã¦ã„ãŸã ãã€ä½ã¾ã„æŽ¢ã—ã‚’å¤‰é©ã™ã‚‹ã‚ˆã†ãªã‚¤ãƒŽãƒ™ãƒ¼ã‚·ãƒ§ãƒ³ã«ã¤ãªã’ã¦ã„ãŸã ã‘ã‚‹ã¨å¬‰ã—ã„ã§ã™ï¼ è©³ã—ã„å†…å®¹ã«ã¤ã„ã¦ã¯ã€ä»¥ä¸‹ã®ã‚¤ãƒ™ãƒ³ãƒˆã§ãŠè©±ã—ã•ã›ã¦ã„ãŸã ãã¾ã—ãŸã€‚ ã‚¹ãƒ©ã‚¤ãƒ‰ãƒ•ã‚¡ã‚¤ãƒ«ã‚’å…¬é–‹ã—ã¦ãŠã‚Šã¾ã™
InoHiro 2015/11/17
dataset
ãƒªãƒ³ã‚¯
ãƒ›ãƒƒãƒˆãƒšãƒƒãƒ‘ãƒ¼ãƒ“ãƒ¥ãƒ¼ãƒ†ã‚£ãƒ¼ã®ãƒ‡ãƒ¼ã‚¿ã‚’ç ”ç©¶ç”¨ã«å…¬é–‹ã—ã¾ã—ãŸ | Recruit Tech Blog
ã“ã‚“ã«ã¡ã¯ã€‚ï¼™æœˆï¼‘æ—¥ã§ãƒªã‚¯ãƒ«ãƒ¼ãƒˆã«å…¥ç¤¾ã—ã¦ã€ï¼”å¹´ç›®ã‚’è¿Žãˆã‚‹ATLã®tatakabaã“ã¨é«˜æž—ã§ã™ã€‚ãã®ã‚ˆã†ãªè¨˜å¿µæ—¥ã«ã€ãƒªã‚¯ãƒ«ãƒ¼ãƒˆã‚ªãƒ¼ãƒ—ãƒ³ãƒ‡ãƒ¼ã‚¿ç¬¬ä¸€å¼¾ã¨ã—ã¦ã€ å›½ç«‹æƒ…å ±å¦ç ”ç©¶æ‰€ï¼ˆNIIï¼‰ã®ã”å”åŠ›ã®ã‚‚ã¨ã€ãƒ›ãƒƒãƒˆãƒšãƒƒãƒ‘ãƒ¼ãƒ“ãƒ¥ãƒ¼ãƒ†ã‚£ãƒ¼ã®ãƒ‡ãƒ¼ã‚¿ã‚’ç ”ç©¶è€…å‘ã‘ã«å…¬é–‹ã™ã‚‹ã“ã¨ã«ãªã‚Šã¾ã—ãŸã€‚ ãƒªã‚¯ãƒ«ãƒ¼ãƒˆã‚ªãƒ¼ãƒ—ãƒ³ãƒ‡ãƒ¼ã‚¿ã®ç¬¬ä¸€å¼¾ã®å–ã‚Šçµ„ã¿ã«ãªã‚Šã¾ã™ã€‚ æ‰‹ç¶šãæ–¹æ³•ã«ã¤ã„ã¦ã¯ã€ã“ã¡ã‚‰ã‚’å‚ç…§ä¸‹ã•ã„ã€‚ å…¬é–‹ã™ã‚‹ï¼—ã¤ã®ãƒ‡ãƒ¼ã‚¿ã‚»ãƒƒãƒˆã¯ã€ä»¥ä¸‹ã®æ§˜ãªé …ç›®ãŒå«ã¾ã‚Œã¦ãŠã‚Šã¾ã™ã€‚ åº—èˆ—ãƒžã‚¹ã‚¿ ç¾Žå®¹å®¤åº—èˆ—ã®ãƒžã‚¹ã‚¿ãƒ¼ãƒ‡ãƒ¼ã‚¿ã«ãªã£ã¦ãŠã‚Šã¾ã™ã€‚åº—èˆ—ãƒžã‚¹ã‚¿ã«ã¯ã€ä»¥ä¸‹ã®ãƒ‡ãƒ¼ã‚¿ãŒå«ã¾ã‚Œã¾ã™ åº—èˆ—ID(å…¨ã¦ã®ãƒ‡ãƒ¼ãƒˆã‚»ãƒƒãƒˆã¨ãƒ’ãƒ¢ä»˜ãŒå¯èƒ½ã§ã™ã€‚) åº—èˆ—å åº—èˆ—åèªã¿ ä½æ‰€ ç·¯åº¦/çµŒåº¦ å–¶æ¥æ™‚é–“/ä¼‘æ—¥ åº—èˆ—ä»£è¡¨å/è‚©æ›¸ åº—èˆ—ã‚³ãƒ¡ãƒ³ãƒˆ åº—èˆ—URL ã‚¹ã‚¿ã‚¤ãƒªã‚¹ãƒˆãƒžã‚¹ã‚¿ ã‚¹ã‚¿ã‚¤ãƒªã‚¹ãƒˆãƒžã‚¹ã‚¿ã§ã¯ã€åº—èˆ—ã®ç¾Žå®¹å¸«ãƒ‡ãƒ¼ã‚¿ã®æƒ…å ±ã‚’æŠ½å‡ºã™ã‚‹ã“ã¨ãŒã§ãã€ å¾—æ„ãªæŠ€è¡“ãªã©ã®ãƒ‡ãƒ¼
InoHiro 2014/09/02
dataset
ãƒªãƒ³ã‚¯
ç ”ç©¶ç”¨ã«ãƒ‹ã‚³ãƒ‹ã‚³å¤§ç™¾ç§‘ã®è¨˜äº‹ã¨ã‚³ãƒ¡ãƒ³ãƒˆç´„24GBã‚’å…¬é–‹â€ãƒ‹ã‚³ãƒ‹ã‚³ã‚¤ãƒ³ãƒ•ã‚©
ã„ã¤ã‚‚niconicoã‚’ã”åˆ©ç”¨ã„ãŸã ãã‚ã‚ŠãŒã¨ã†ã”ã–ã„ã¾ã™ã€‚ ã“ã®ãŸã³ã€å›½ç«‹æƒ…å ±å¦ç ”ç©¶æ‰€æƒ…å ±å¦ç ”ç©¶ãƒ‡ãƒ¼ã‚¿ãƒªãƒã‚¸ãƒˆãƒª(IDR)ã”å”åŠ›ã®å…ƒã€ãƒ‹ã‚³ãƒ‹ã‚³å¤§ç™¾ç§‘ã®è¨˜äº‹ãƒ‡ãƒ¼ã‚¿ã‚’ã€Œãƒ‹ã‚³ãƒ‹ã‚³ãƒ‡ãƒ¼ã‚¿ã‚»ãƒƒãƒˆã€ã«å…¬é–‹ã—ã¾ã—ãŸã€‚ æä¾›ã™ã‚‹ãƒ‡ãƒ¼ã‚¿å†…å®¹ã¯è¨˜äº‹ãƒ˜ãƒƒãƒ€ãƒ‡ãƒ¼ã‚¿ã€è¨˜äº‹æœ¬æ–‡ãƒ‡ãƒ¼ã‚¿(å±¥æ´å«ã‚€)ã€æŽ²ç¤ºæ¿ãƒ‡ãƒ¼ã‚¿ã¨ãªã£ã¦ã„ã¾ã™ã€‚å½¢å¼ã¯CSVã§ç´„24GBã‚ã‚Šã¾ã™ã€‚éžå…¬é–‹ã®è¨˜äº‹ã‚„ã€ãƒ¦ãƒ¼ã‚¶ãƒ¼ã‚’ç‰¹å®šã§ãã‚‹IDã¯å«ã¾ã‚Œã¦ã„ã¾ã›ã‚“ã€‚ æœ¬ãƒ‡ãƒ¼ã‚¿ã¯ç ”ç©¶ç›®çš„ã§ã‚ã‚Œã°ã©ãªãŸã§ã‚‚ã”åˆ©ç”¨ã„ãŸã ã‘ã¾ã™ã€‚ å¸Œæœ›ã•ã‚Œã‚‹æ–¹ã¯å›½ç«‹æƒ…å ±å¦ç ”ç©¶æ‰€ã‚µã‚¤ãƒˆã‚ˆã‚Šåˆ©ç”¨ç”³è«‹ã‚’ã—ã¦ä¸‹ã•ã„ã€‚ ãƒ‹ã‚³ãƒ‹ã‚³å¤§ç™¾ç§‘ã¯æœªæ¥æ¤œç´¢ãƒ–ãƒ©ã‚¸ãƒ«ãŒé‹å–¶ã™ã‚‹ã€Žã‚ã‚‰ã‚†ã‚‹è¨€è‘‰ã«ã¤ã„ã¦å®šç¾©ã‚„æ„å‘³ã€å…ƒãƒã‚¿ã‚’è§£èª¬ã™ã‚‹è¾žæ›¸ãƒ»è¾žå…¸ã€ã§ã™ã€‚wikipediaã¨ç•°ãªã‚Šã€å®¢è¦³çš„ã§çœŸé¢ç›®ãªè¨˜äº‹ã ã‘ã§ãªãã€ä¸»è¦³çš„ã§é¢ç™½ã„è¨˜äº‹ã‚‚æ“è¿Žã—ã¦ã„ã¾ã™ã€‚HTMLã‚„CSSã‚‚ç”¨ã„ã‚‹ã“ã¨ãŒã§ãã‚‹ãŸã‚ã€è¦‹ãŸç›®ã«æ„å‘³ã‚’æŒãŸã›ãŸè¨˜äº‹ã‚‚ã‚ã‚‹ã“
InoHiro 2014/03/28
nicovideo.jp

research

OpenData

dataset
ãƒªãƒ³ã‚¯
BSBM Tools
InoHiro 2014/01/09
BerlinSPARQLBench

dataset

SPARQL
ãƒªãƒ³ã‚¯
BSBM Dataset Specification
InoHiro 2014/01/09
ã‚¸ã‚§ãƒãƒ¬ãƒ¼ã‚¿ãŒç”Ÿæˆã™ã‚‹ãƒ‡ãƒ¼ã‚¿ã®èª¬æ˜Ž

BerlinSPARQLBench

benchmark

SPARQL

dataset
ãƒªãƒ³ã‚¯
SNAP: Stanford Network Analysis Project
We are inviting applications for postdoctoral positions in Network Analytics and Machine Learning. We have no open positions for undergraduate and graduate research assistants at this time, but any applications submitted will be considered for potential openings in the future. SNAP for C++: Stanford Network Analysis Platform Stanford Network Analysis Platform (SNAP) is a general purpose network an
InoHiro 2013/12/18
graph

dataset
ãƒªãƒ³ã‚¯
Where can I find large datasets open to the public?
Answer (1 of 186): Here are some big corpora we use in NLP in addition to the ones already mentioned: * ukWaC: a 2 billion word corpus constructed from the Web limiting the crawl to the .uk domain and using medium-frequency words from the BNC as seeds. The corpus was POS-tagged and lemmatized w...
InoHiro 2013/10/18
ãƒªãƒ³ã‚¯
Datasets - PlanetData-WIKI
To get EDIT-rights for the wiki, please create an account and contact Alice Carpentier ([email protected]) with your name, affiliation and username to be approved! RDF Data Cube datasets In the following, we list Linked Data resources of type qb:DataSet that reuse the RDF Data Cube vocabulary. Besides the dataset URI, we give the data structure definition URI, describing the content of the
InoHiro 2013/09/05
qb_vocabulary

LOD

statistical_lod

dataset
ãƒªãƒ³ã‚¯
Learning from Big Data: 40 Million Entities in Context
Philosophy We strive to create an environment conducive to many different types of research across many different time scales and levels of risk. Learn more about our Philosophy Learn more
InoHiro 2013/07/18
Wikimedia

wikipedia

google

dataset
ãƒªãƒ³ã‚¯
11 Billion Clues in 800 Million Documents: A Web Research Corpus Annotated with
Philosophy We strive to create an environment conducive to many different types of research across many different time scales and levels of risk. Learn more about our Philosophy Learn more
InoHiro 2013/07/18
google

freebase

dataset
ãƒªãƒ³ã‚¯
çµ±è¨ˆã‚’å¦ã³ãŸã„äººã¸è´ˆã‚‹ã€çµ±è¨ˆè§£æžã«ä½¿ãˆã‚‹ãƒ‡ãƒ¼ã‚¿ã‚»ãƒƒãƒˆã¾ã¨ã‚ - ã»ããç¬‘ã‚€
ã¯ã˜ã‚ã« çµ±è¨ˆè§£æžã®æ‰‹æ³•ã‚’å¦ã¶ã®ã«ã€æ•™ç§‘æ›¸ã‚’èªã‚€ã®ã¯ç´ æ™´ã‚‰ã—ã„å¦ç¿’æ–¹æ³•ã§ã™ã€‚ ã—ã‹ã—ã€æ•™ç§‘æ›¸ã§ç†è«–çš„ãªã“ã¨ã‚’å¦ã‚“ã ã ã‘ã§ã¯ã€çµ±è¨ˆæ‰‹æ³•ã‚’ä½¿ã„ã“ãªã›ã‚‹ã‚ˆã†ã«ã¯ãªã‚Šã¾ã›ã‚“ã€‚ çµ±è¨ˆè§£æžæ‰‹æ³•ã‚’èº«ã«ã¤ã‘ã‚‹ã«ã¯ã€å®Ÿéš›ã®ãƒ‡ãƒ¼ã‚¿ã«ã¤ã„ã¦æ‰‹æ³•ã‚’é©ç”¨ã—ã€ãƒ‘ãƒ©ãƒ¡ãƒ¼ã‚¿ã‚’å¤‰ãˆã‚‹ãªã©ã®è©¦è¡ŒéŒ¯èª¤ã‚’è¡Œã„ã€çµæžœã‚’è€ƒå¯Ÿã™ã‚‹ã¨ã„ã†ã‚ˆã†ãªçµŒé¨“ã‚’ç©ã‚€ã“ã¨ãŒå¤§åˆ‡ã§ã™ã€‚ ãã‚Œã§ã¯å®Ÿéš›ã®ãƒ‡ãƒ¼ã‚¿ã‚’ã©ã†ã‚„ã£ã¦æ‰‹ã«å…¥ã‚Œã¾ã—ã‚‡ã†ã‹ï¼Ÿ å®Ÿé¨“ã‚„èª¿æŸ»ã‚’ã—ã¦å®Ÿéš›ã®ãƒ‡ãƒ¼ã‚¿ã‚’å¾—ã‚‹ã®ã¯å¤§å¤‰ã§ãŠé‡‘ã‚‚ã‹ã‹ã‚Šã¾ã™ã€‚ å¹¸é‹ãªã“ã¨ã«ã€ä¸–ã®ä¸ã«ã¯é©åº¦ãªã‚µã‚¤ã‚ºã®è‡ªç”±ã«ä½¿ãˆã‚‹ãƒ‡ãƒ¼ã‚¿ãŒãŸãã•ã‚“å˜åœ¨ã—ã¾ã™ã€‚ ä¾‹ãˆã°ã€çµ±è¨ˆè¨€èªž R ã«ã¯ã€100ä»¥ä¸Šã‚‚ã®ãƒ‡ãƒ¼ã‚¿ã‚»ãƒƒãƒˆãŒãƒ‡ãƒ•ã‚©ãƒ«ãƒˆã§ä»˜å±žã—ã¦ã„ã¾ã™ã€‚ ãŸã ã—ã€ä¸å¹¸ãªã“ã¨ã«ã€ãã‚Œã‚‰ã®ã»ã¨ã‚“ã©ã¯è‹±èªžã§èª¬æ˜ŽãŒæ›¸ã‹ã‚Œã¦ã„ã¾ã™ã€‚ è‹±èªžã¯ã€ã„ã¤ã‹ã¯ä¹—ã‚Šè¶Šãˆãªã‘ã‚Œã°ãªã‚‰ãªã„å£ã§ã™ãŒã€æœ€åˆã®ã†ã¡ã¯ã¡ã‚‡ã£ã¨é¿ã‘ã¦é€šã‚ŠãŸã„ã¨ã“ã‚ã§ã™ã€‚ ã¨ã„ã†ã‚ã‘ã§ã€ä»Šæ—¥ã¯ã€
InoHiro 2012/02/16
dataset

statistics
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InoHiro 2012/01/21
rdf

dataset

OpenGovernment

statistical_lod
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