2019-03-10

  • I had the image of dividing a book into pages and then extracting keywords from each page, but based on my experience with Scrapbox, I think what we should do is not keyword extraction, but rather the discovery of “unexpected common keywords between two documents”. - Unexpected Link , unforeseen connection - suggestion
  • And, of course, dividing books into pages creates self-evidently long keywords.
    • For example, a phrase like “100 people, 100 different HR systems” appears many times in a book.
    • The fact that this comes up again and again means that it is tied to a concept that is important in the book
      • Useful in the sense of “summary.”
    • But I don’t know if this phrase appears in any other book.
      • Interesting to note that if any other author’s book mentions this phrase.
      • I tried to show Jiro Kawakita’s original book on “W-type problem-solving model”, but when I searched in the library, other books came up. - Examples of unexpected discoveries in searches
  • It would be more beneficial to focus on “Book to Book Links.

2019-03-11

  • As for the recent “wouldn’t it be interesting to discover links across books”, I had the feeling that it was “the author”, not the books.
    • It is common for the same author to use the same phrase repeatedly in multiple books.
      • It can be funny, though.
    • Search by Serendipity
      • image
  • Whether it is interesting or not is subjective, so there needs to be a mechanism to provide feedback after seeing the presentation.
  • I like the system that allows incremental growth.

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