I love Obsidian for everything but moved to Logseq a while ago because I find it better for handling quotes from books more fluid. However, maybe there’s a better way to achieve what I’m trying....
If I’m understanding you correctly, I think I do something similar to track my book reading progress. I log my book reading progress in my daily note, with a [[link to bookname]] and then use dataview to also list all the progress entries inside the note for the book.
on my daily page, I’ll have something like this:
<span style="color:#323232;">## Reading
</span><span style="color:#323232;">* [[Tomorrow and Tomorrow and Tomorrow _ Gabrielle Zevin]] - 20%
</span><span style="color:#323232;"> really enjoying this book so far! the perspective changes... (paragraph snipped)
</span>
(I’m not sure it’s obvious above, but I do the four spaces thing to nest a paragraph under the bullet point.)
Then on the page for the book itself, I have this dataview query
<span style="color:#323232;">```dataview
</span><span style="color:#323232;">LIST
</span><span style="color:#323232;">regexreplace(replace(L.text, "[[" + this.file.name + "]]", ""), "^[ :-]*", "")
</span><span style="color:#323232;">FROM [[]] and "Log"
</span><span style="color:#323232;">flatten file.lists as L
</span><span style="color:#323232;">WHERE meta(L.section).subpath = "Reading" and contains(L.text, this.file.name)
</span><span style="color:#323232;">sort file.name
</span><span style="color:#323232;">```
</span>
I think for you, you would replace the check I’m doing for the section heading = Reading with a check for the tag instead. The replace and regex business is just so I don’t wind up repeating the [[link to bookname]] inside the note for the book, and also to shave off some inconsistent formatting I’ve used over time. What displays on my book page is something like this:
<span style="color:#323232;">* 2023-06-09: 20%
</span><span style="color:#323232;"> really enjoying this book so far! the perspective changes... (paragraph snipped)
</span>
(with a link back to the original daily note)
By the way, I couldn’t figure out a way to do this using dataview without using list items (and nesting paragraphs under the list item). I think because dataview indexes list items, but won’t necessarily index other blocks of text? (The future version of dataview, datacore does mention supporting queries at the section and block level though.)
I find the idea of owning a personal knowledge graph incredibly intriguing, but I’ve had trouble getting started. To be frank, I’m not quite sure what to include. A lot of the information that I might feel like I would want to save is also readily available via Google and can be retrieved faster by Googling than by diving...
work - meeting notes, project notes, tasks, etc. I used Evernote for years for this purpose and dipped my toe in Notion for a while before realizing I really needed offline access.
personal - this is more of a mishmash of stuff. workout notes, progress on books i’ve been reading (sometimes I just write down what page number I got to that day and not anything more elaborate), trip ideas (with links to hotels, restaurants, etc. that sound interesting), a couple reference notes reminding me how to perform certain chores, etc.
Tbh, I don’t use the graph stuff at all. And the information I record in Obsidian is generally not content I’d be able to google.
Looking to try obsidian, but the sync seems expensive. Do you pay for sync, or are there other alternatives?
I have iOS, and use MacBook/Linux....
How do you organize your quotes?
I love Obsidian for everything but moved to Logseq a while ago because I find it better for handling quotes from books more fluid. However, maybe there’s a better way to achieve what I’m trying....
What do you use Obsidian for?
I find the idea of owning a personal knowledge graph incredibly intriguing, but I’ve had trouble getting started. To be frank, I’m not quite sure what to include. A lot of the information that I might feel like I would want to save is also readily available via Google and can be retrieved faster by Googling than by diving...