Letter by Suminokura Soan
- Person
-
作者角倉素庵
- Date
-
制作年 AD17
- Title
- スミノクラソアンヒツショジョウ
- Collections
- Century Akao Collection
- Depository
- Institute of Oriental Classics (Shido Bunko) Campus Mita
Suminokura Soan (1571-1632) was a wealthy merchant of Kyoto who lived during the early Edo Period. Succeeding his father, Ryoyi (1554-1614), who was a trader, Soan engaged in wide-ranging business activities that included transportation, civil engineering, warehousing and trade. Thanks to his amassed wealth, his life, devoted to chanoyu (sado, tea ceremony) and Noh drama, was highly sophisticated for a townsman. He was also well-versed in the Chinese and Japanese classics and was a reputed man of refined taste. As a calligrapher, Soan enjoyed a friendship with Hon-ami Koetsu (1558-1637), so he has often been hailed the “best Koetsu follower” of the era. During his heyday (between the ages of 30 and 50), he was instrumental in publishing the so-called Saga-Hon (lit. Sage Edition), books printed on exquisite ryoshi paper, with Koetsu creating the clean copy of the manuscripts for publication.As seen by the free-flowing, uninhibited strokes in this letter, Soan wrote with a typical Koetsu Style. In fact, he was such a close follower of Koetsu that the two are sometimes difficult to tell apart, and Soan’s extant handwriting is proof that he was “the best Koetsu Style follower” of his time. This particular piece is addressed to Kawabe Shinshiro, a courier service provider of Kyoto, and gives instructions for picking up and delivering a letter.
［端裏書］ 川新四様‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐尚々御用にても御きけんよく御座候時分□□□我等共ニ七人ニて御座候かしく旦那樣明日者早々御座被成候や男之外三人申付候御左右次第可進之候次ニ先刻之御報之儀今晩にても明日にても御きけんよく御座候時分御とり被成可被下候先刻の状はとりてかへり候への由被仰候間此方へ返申候爲年玉はふたび十疋ニて御座候恐惶謹言正月廿日（花押）
Overview
Rights
Depository and ID
Components
OPEN DATADESIGN
Keio Object Hub makes data on cultural objects open and tries designing various experiences using open data.
Details
Identifiers
- Title (EN)
- Letter by Suminokura Soan
Physical description
- Weights and quantities
-
Quantity 1幅
As a prototype feature, the Keio Object Hub uses AI (machine learning) to generate keywords for searches and filtering.
For the first launch, Google Cloud's Vision API will be used to analyze the images of each object and automatically generate keywords.