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The Bookmarking Knowledge Mannequin Is Fallacious For Highlighting :: LGUG2Z

The Bookmarking Knowledge Mannequin Is Fallacious For Highlighting :: LGUG2Z

2023-05-16 11:40:54

The information mannequin for bookmarking and highlighting companies previous and current can usually be distilled all the way down to the

    * Title
    * Scraped Content material
    * Person Spotlight
    * Person Annotation
    * ... Different Metadata

The bookmark itself is tied to a URL, and anything associated to the bookmark, such because the title, the
scraped content material (if the service scrapes in your behalf), highlights and annotations are saved as extra metadata
linked to that URL.

There are some unlucky restrictions that include this information mannequin.

Let’s take the instance of feedback.

Feedback by their nature are distributed; the identical article could be shared on any variety of web sites for any variety of
completely different customers and communities to debate. Particularly within the case of tightly targeted communities, the commentary on an
article is commonly simply as helpful because the article itself.

When the info mannequin is anchored across the URL, highlights grow to be tightly coupled to that URL, and this tight coupling
ignores the distributed actuality of feedback, leaving them with no actual place to exist within the information mannequin.

Ideally, highlights made on an article and feedback saved about an article must be straightforward to attach and look at
collectively, as a result of it’s the article itself, and never the URL, that’s the frequent denominator (the URL is an imperfect
proxy for the article).

What if there may be nothing of worth within the article itself to spotlight, however the dialogue of the article accommodates the
actual info of worth that you just wish to save? That is typically the case when a commenter debunks bogus claims revealed
in an article shared on hyperlink aggregation web sites whereas concurrently explaining their methodology.

If you consider this for lengthy sufficient, you may additionally come to the conclusion that I’ve, that saving feedback can also be a
type of highlighting, and each feedback and highlights could be described in a standard information mannequin as “content material”.

A content-first information mannequin solves all of those points and extra, nevertheless it requires deliberate thought
and planning when designing a service, and it isn’t one thing that may be tacked on at a later stage after beginning out
with a bookmarking information mannequin.

Along with fixing these points, a content-first information mannequin additionally permits for brand new and thrilling prospects within the
sharing of the data that we save. Particularly in case you are a believer within the concept
that knowledge is social.

You probably have been a subscriber of Instapaper or Pinboard previously, you’ll have subscribed to RSS feeds full of
URLs mates and friends have been saving. There’s a restricted utility in this type of feed which primarily acts as a
firehose, leaving the numerous burden of filtering all the way down to the person subscriber, who has no method of figuring out why
an merchandise was added or saved.

You probably have been a subscriber of Readwise previously, you’ll have used the hyperlink sharing characteristic to share a scraped
model of a free or a pay-walled article with others, full together with your highlights and annotations. There’s once more a
restricted utility in this type of sharing which includes important handbook intervention each time to generate a
shareable hyperlink after which once more share it with N people.

Earlier this month I wrote
about embedding RSS feeds on a static website,
however I didn’t get an excessive amount of into how the feeds themselves have been being populated.

See Also

With a content-first information mannequin, every particular person piece of content material could be tagged and categorised independently, each
independently as a chunk of textual content, but in addition independently of its supply materials. This may be leveraged together with
content-driven tagging guidelines to publish self-populating RSS feeds, which is how the feeds listed beneath
the “Recent Highlights” section of the homepage of this web site are populated.

The “Latest Highlights” part of the homepage, powered by Notado Feeds

If studying any of this has flipped a swap in your head, I encourage you to check out Notado. It’s
a easy, text-focused information administration and publishing service with no clunky JavaScript frameworks slowing your
machine to a crawl.

In case you appreciated the ethos and design of Pinboard, however really feel just like the characteristic set has not saved up with the competitors,
there’s a fairly good likelihood you’ll like Notado. In case you’re a hacker who likes to construct, Notado additionally has an intensive and
totally documented GraphQL API so that you can play with.

Along with net highlights on desktop and cell units, Notado additionally helps Kindle highlights (with out having to
reauthorize together with your Amazon account periodically) and first-class assist for saving and importing feedback from
fashionable hyperlink aggregator and microblogging platforms reminiscent of Reddit, Mastodon, Hacker Information, Twitter, YouTube, and extra.

Notado comes with a 30-day free trial (no billing particulars required), after which it is rather reasonably priced and has
solely a single tier during which all options (tagging guidelines, good feeds, full-text search, limitless highlights and feedback assist and so forth.) are included.

Service Month-to-month Value (full characteristic set)
Notado $1.99
Readwise $7.99
Pinboard $1.83
Instapaper $2.99
Raindrop $2.33

Notado shall be round no less than so long as I’m, as my one and solely information administration instrument for the remainder of my life. In
the occasion that I’m not capable of run Notado, plans have been made to open supply the codebase for individuals to proceed
working their very own situations.

Discuss this article on /r/LGUG2Z

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