100 Matching Annotations
  1. Sep 2024
    1. we rarely know the shape of our categories in advance. Often we’re just reacting: “this seems important”; “this is related to that”; “this makes me think of…”; and so on.

      exactly. Tags are emergent structure, and are not per se to describe the information stated nor to be used as a taxonomy. Vgl [[%On Tagging 20200818120917]] as associative emergence, as search/find history, as pivots in an exploratory path etc.

  2. May 2024
    1. https://web.archive.org/web/20240503124032/https://karl-voit.at/2022/01/29/How-to-Use-Tags/

      Long post on 'how to' tag with a set of rules. Not a word on why to tag as a personal practice. Retrieval is key, and not just retrieval but retrieval in contexts. Not merely descriptive but mostly associative. That there is e.g. a #longtail of tags only used once is also a piece of information itself. E.g. when finding the starting point for a new branch of exploration. I find that [[Tags are valuable as pivots 20070815104800]]. The mostly used tags (unavoidable if you use a limited set as suggested in rule 2) become useless because they no longer demarcate a manageble chunck of material.

  3. Oct 2023
    1. In a journal article or manuscript a sample identified by IGSN SSH000SUA may look like this (tagged IGSN): IGSN:SSH000SUA

      Manuscript tagging

  4. Sep 2023
  5. Aug 2023
    1. Personally I often used #type/sketchnote and #type/question. But I will spend a little time and effort to build up an improved architecture for tagging.

      reply to Edmund at https://forum.zettelkasten.de/discussion/comment/18550/#Comment_18550

      @Edmund since I don't do such a thing myself, I'm curious what sort of affordance your #type/NoteName tagging provides you with (especially if you're using more than just those two)? Do you use them regularly for search or filtering, and if so for what reason? How does it help?

      To me it look likes extra metadata/work, but without a lot of direct long term value in exchange. Does doing this for long periods of time provide you with outsized emergent value of some sort that's not easy to see from the start?

    1. For context, I don't use a traditional Zettelkasten system. It's more of a commonplace book/notecard system similar to Ryan HolidayI recently transitioned to a digital system and have been using Logseq, which I enjoy. It's made organizing my notes and ideas much easier, but I've noticed that I spend a lot of time on organizing my notesSince most of my reading is on Kindle, my process involves reading and highlighting as I read, then exporting those highlights to Markdown and making a page in Logseq. Then I tag every individual highlightThis usually isn't too bad if a book/research article has 20-30 highlights, but, for example, I recently had a book with over 150 highlights, and I spent about half an hour tagging each oneI started wondering if it's overkill to tag each highlight since it can be so time consuming. The advantage is that if I'm looking for passages about a certain idea/topic, I can find it specifically rather than having to go through the whole bookI was also thinking I could just have a set of tags for each book/article that capture what contexts I'd want to find the information in. This would save time, but I'd spend a little more time digging through each document looking for specificsCurious to hear your thoughts, appreciate any suggestions

      reply to m_t_rv_s__n/ at https://www.reddit.com/r/Zettelkasten/comments/164n6qg/is_this_overkill/

      First, your system is historically far more traditional than Luhmann's more specific practice. See: https://boffosocko.com/2022/10/22/the-two-definitions-of-zettelkasten/

      If you're taking all the notes/highlights from a particular book and keeping them in a single file, then it may be far quicker and more productive to do some high level tagging on the entire book/file itself and then relying on and using basic text search to find particular passages you might use at a later date.

      Spending time reviewing over all of your notes and tagging/indexing them individually may be beneficial for some basic review work. But this should be balanced out with your long term needs. If your area is "sociology", for example, and you tag every single idea related to the topic of sociology with #sociology, then it will cease to have any value you to you when you search for it and find thousands of disconnected notes you will need to sift through. Compare this with Luhmann's ZK which only had a few index entries under "sociology". A better long term productive practice, and one which Luhmann used, is indexing one or two key words when he started in a new area and then "tagging" each new idea in that branch or train of though with links to other neighboring ideas. If you forget a particular note, you can search your index for a keyword and know you'll find that idea you need somewhere nearby. Scanning through the neighborhood of notes you find will provide a useful reminder of what you'd been working on and allow you to continue your work in that space or link new things as appropriate.

      If it helps to reframe the long term scaling problem of over-tagging, think of a link from one idea to another as the most specific tag you can put on an idea. To put this important idea into context, if you do a Google search for "tagging" you'll find 240,000,000 results! If you do a search for the entirety of the first sentence in this paragraph, you'll likely only find one very good and very specific result, and the things which are linked to it are going to have tremendous specific value to you by comparison.

      Perhaps the better portions of your time while reviewing notes would be taking the 150 highlights and finding the three to five most important, useful, and (importantly) reusable ones to write out in your own words and begin expanding upon and linking? These are the excerpts you'll want to spend more time on and tag/index for future use rather than the other hundreds. Over time, you may eventually realize that the hundreds are far less useful than the handful (in management spaces this philosophy is known as the Pareto principle), so spending a lot of make work time on them is less beneficial for whatever end goals you may have. (The make work portions are often the number one reason I see people abandoning these practices because they feel overwhelmed working on raw administrivia instead of building something useful and interesting to themselves.) Naturally though, you'll still have those hundreds sitting around in a file if you need to search, review, or use them. You won't have lost them by not working on them, but more importantly you'll have gained loads of extra time to work on the more important pieces. You should notice that the time you save and the value you create will compound over time.

      And as ever, play around with these to see if they work for you and your specific needs. Some may be good and others bad—it will depend on your needs and your goals. Practice, experiment, have fun.

      Meme image from Office Space featuring a crowd of office employees standing in front of a banner on the wall that reads: Is this Good for the Zettelkasten?

  6. Jun 2023
  7. May 2023
    1. Tagging and linking with AI (Napkin.one) by Nicole van der Hoeven

      https://www.youtube.com/watch?v=p2E3gRXiLYY

      Nicole underlines the value of a good user interface for traversing one's notes. She'd had issues with tagging things in Obsidian using their #tag functionality, but never with their [[WikiLink]] functionality. Something about the autotagging done by Napkin's artificial intelligence makes the process easier for her. Some of this may be down to how their user interface makes it easier/more intuitive as well as how it changes and presents related notes in succession.

      Most interesting however is the visual presentation of notes and tags in conjunction with an outliner for taking one's notes and composing a draft using drag and drop.

      Napkin as a visual layer over tooling like Obsidian, Logseq, et. al. would be a much more compelling choice for me in terms of taking my pre-existing data and doing something useful with it rather than just creating yet another digital copy of all my things (and potentially needing sync to keep them up to date).

      What is Napkin doing with all of their user's data?

  8. Mar 2023
    1. In the fall of 2015, she assigned students to write chapter introductions and translate some texts into modern English.

      continuing from https://hypothes.is/a/ddn4qs8mEe2gkq_1T7i3_Q

      Potential assignments:

      Students could be tasked with finding new material or working off of a pre-existing list.

      They could individually be responsible for indexing each individual sub-text within a corpus by: - providing a full bibliography; - identifying free areas of access for various versions (websites, Archive.org, Gutenberg, other OER corpora, etc.); Which is best, why? If not already digitized, then find a copy and create a digital version for inclusion into an appropriate repository. - summarizing the source in general and providing links to how it fits into the broader potential corpus for the class. - tagging it with relevant taxonomies to make it more easily searchable/selectable within its area of study - editing a definitive version of the text or providing better (digital/sharable) versions for archiving into OER repositories, Project Gutenberg, Archive.org, https://standardebooks.org/, etc. - identifying interesting/appropriate tangential texts which either support/refute their current text - annotating their specific text and providing links and cross references to other related texts either within their classes' choices or exterior to them for potential future uses by both students and teachers.

      Some of this is already with DeRosa's framework, but emphasis could be on building additional runway and framing for helping professors and students to do this sort of work in the future. How might we create repositories that allow one a smörgåsbord of indexed data to relatively easily/quickly allow a classroom to pick and choose texts to make up their textbook in a first meeting and be able to modify it as they go? Or perhaps a teacher could create an outline of topics to cover along with a handful of required ones and then allow students to pick and choose from options in between along the way. This might also help students have options within a course to make the class more interesting and relevant to their own interests, lives, and futures.

      Don't allow students to just "build their own major", but allow them to build their own textbooks and syllabi with some appropriate and reasonable scaffolding.

  9. Feb 2023
  10. Jan 2023
  11. Nov 2022
    1. Retribusi Pelayanan Kepelabuhanan 3.610.000.000 3.622.960.500

      Realisasi retribusi pelayanan kepelabuhanan DKP Jawa Tengah periode 1 Januari - 31 Agustus 2021 telah melampaui target.

    2. Retribusi Pemberian Izin KegiatanUsaha Penangkapan Ikan3.500.000.000 2.198.323.300

      Realisasi retribusi Pemberian Izin Kegiatan Usaha Penangkapan Ikan DKP Jawa Tengah periode 1 Januari - 31 Agustus 2021 baru mencapai 62,81 %. Hal ini wajar mengingat pelaksanaan kegiatan berjalan di pertengahan tahun anggaran. Meski demikian, pendapatan retribusi pemberian perizinan usaha penangkapan ikan di Jawa Tengah masih dapat ditingkatkan dengan mengoptimalkan pelayanan di sentra-sentra nelayan. Potensi pendapatan retribusi perizinan usaha dilakukan dengan menyasar pelaku usaha perikanan yang memiliki kapal perikanan 10 - 30 GT sesuai kewenangan Provinsi.

  12. Jul 2022
  13. Jun 2022
    1. TagTeam is an open-source tagging platform and feed aggregator developed for the Harvard Open Access Project (HOAP) at the Berkman Klein Center for Internet & Society under the direction of Peter Suber.

      About TagTeam

    1. To address the slippery-slope argument, I think it's pointless to worry about these systems doing too much of our thinking for us. Rephrasing a sentence is a far cry from writing an informed and insightful social criticism essay.

      And then again, if they did much of our thinking for us, this wouldn't necessarily be a problem.

  14. May 2022
  15. Apr 2022
    1. sondern sie suchen hier 00:17:52 nach wirklichen gehalten hat sie suchen hier wirklich im wirklichen text und sie suchen nicht nur nach texten die suche nach bildern sie suchen nach allem möglichen nachteilen sie können alle möglichen arten von informationen suchen

      Der formale Zwischenschritt wird kleiner bzw. verschwindet. Ich suche nicht über die Form des Autors nach den Inhalten, sondern direkter nach Inhalten. So gestaltet sich auch die Folksonomie / das social tagging als inhaltsorientierter - es ist nicht mehr wie die Enzyklopädie alphabetisch geordnet.

  16. Mar 2022
    1. So my idea was to create a machine-tag format based on Wikipedia topics, allowing any content creator to tag content with any topic in Wikipedia. By using Wikipedia as an index, this format provides very specific identification of content across a vast knowledge domain. Call it the Dewey Decimal System for the web: “The Wiki Decimal System.” In general, the problem with machine tags is how to make them easy to add for regular folks. Although the format itself is simple, the tags are typically lengthy and require you to know the data ID for what you want to tag. Enter my hack: A web page that takes your text and builds the list of Wikipedia machine tags automatically.
  17. Feb 2022
    1. Keyword tags can help you quickly recall a passage's content, reference relevant material on a topic of interest, or identify interesting patterns in your thinking. And categorical tags can help you organize your highlights into actionable workflows for later use.

      Interesting way to classify different kind of tags, keyword tags are topical while categorical tags that are associated with automated actions.

    1. Mit semantischen Technologien lassen sich aber auch elektronische Dokumente, Texte und Berichte strukturieren und "taggen"

      Semantisches Tagging

  18. Jan 2022
      • astro:name=NGC 4565
      • astro:orientation=11.73
      • astro:RA=189.083922302

      The metadata is structured. So structured that we can represent the example machine tags in a table:

      <table> <thead><tr> <th style="text-align:center">namespace</th> <th style="text-align:center">predicate</th> <th style="text-align:center">value</th> </tr> </thead> <tbody> <tr> <td style="text-align:center">astro</td> <td style="text-align:center">name</td> <td style="text-align:center">NGC 4565</td> </tr> <tr> <td style="text-align:center">astro</td> <td style="text-align:center">orientation</td> <td style="text-align:center">11.73</td> </tr> <tr> <td style="text-align:center">astro</td> <td style="text-align:center">RA</td> <td style="text-align:center">189.083922302</td> </tr> </tbody> </table>

      Or in a tree:

        astro
        |-- name
        |   `-- NGC 4565
        |-- orientation
        |   `-- 11.73
        `-- RA
            `-- 189.083922302
      
    1. Abstract : Current tag modelling does not fully take into account the rich and diverse nature tags, as signs, can take on. We propose an ontology of tags in which tags are modelled as named graphs. These named graphs are made of a resource linked to a “sign” which can be any resource reachable on the Web (an ontology concept, an image, etc.). The purpose of our model is to be able to describe tags in a very general manner, and as an immediate conse- quence, to describe tags as modelled by other tag models (SCOT, CommonTag, etc.).
  19. Sep 2021
    1. Also, give up now on the idea of trying to get everything tagged. If you can set a baseline of 80% or better, you’re outperforming almost everyone. And, in most cases, you’re not an organization where you’re required to spend thousands of dollars to allocate that last 20 cents. Lastly, never ever expect people to tag things by hand. They won’t. If you want decent tag coverage, tagging absolutely must be automated.
    1. With Tag Editor, you build a query to find resources in one or more AWS Regions that are available for tagging. You can choose up to 20 individual resource types, or build a query on All resource types. Your query can include resources that already have tags, or resources that have no tags.
    1. Including id and resource in the result set means we can query multiple services using some sql magic

      How would this compare to using the tools mentioned in https://docs.aws.amazon.com/whitepapers/latest/tagging-best-practices/remediate-untagged-resources.html?

      What's the intra-cloud (vs cross-cloud) benefit of steampipe w/respect to finding untagged resources?

    2. Steampipe's standardized schemas allow you to approach tagging queries with common patterns across resources and clouds.
    1. Automation and proactive tag management are important, but are not always effective. Many customers also employ reactive tag governance approaches to identify resources that are not properly tagged and correct them.
  20. Oct 2020
  21. Dec 2019
  22. Aug 2019
    1. The basic idea behind Zettelkasten is to build a repository of the knowledge you gain through the years. The idea is similar to what Paul Jun, of Creative Mastery, writes about keeping a Commonplace Book, or Ryan Holiday’s notecard system. Zettelkasten adds the powerful idea of linking notes to create a web of interlinked knowledge.
  23. Nov 2018
  24. Jul 2018
    1. Why didn’t the men begin? What were they waiting for? There they stood, smoothing their gloves, patting their glossy hair and smiling among themselves. Then, quite suddenly, as if they had only just made up their minds that that was what they had to do, the men came gliding over the parquet. There was a joyful flutter among the girls.

      Throughout the story, the narrator figures the men and women as birds participating in courtship/pre-mating dances. Observe the narrator's ornithological language here: the men "glid[e] over the parquet" towards the women, who respond with "a joyful flutter." With part-of-speech tagging, we could zoom in on how the story's syntactical elements (especially verbs and adjectives) create this parallel between social and animal rituals.

    2. And now the landing-stage came out to meet them. Slowly it swam towards the Picton boat,

      This excerpt personifies the "landing-stage" with the verbs "came" and "swam." Where else does this occur in this story? And what does this device imply about the "voyage" that the story recounts? Part-of-speech tagging would allow us to examine when, how, and to what effect(s) objects becoming (grammatical) subjects through personification.

    3. And after all the weather was ideal.

      The story begins with the additive conjunction "and," which already suggests accumulation (and perhaps even festive excess) on a syntactical level. Some part-of-speech tagging and n-grams would allow us to see how often the speaker uses additive conjunctions, and to what effects.

  25. course-computational-literary-analysis.netlify.com course-computational-literary-analysis.netlify.com
    1. My diary informs me

      This is an interesting reversal of typical subject-object relations. The diary, which is an object, is grammatically positioned as an informative agent, while Miss Clack, a person, becomes an object that is acted upon. Some part-of-speech tagging in scenes that feature document evidence would help us to better understand when and why this happens, and why it might be significant.

  26. Jun 2018
    1. When users can freely choose tags (creating a folksonomy, as opposed to selecting terms from a controlled vocabulary), the resulting metadata can include homonyms (the same tags used with different meanings) and synonyms (multiple tags for the same concept), which may lead to inappropriate connections between items and inefficient searches for information about a subject.
    2. Tagging systems open to the public are also open to tag spam, in which people apply an excessive number of tags or unrelated tags to an item (such as a YouTube video) in order to attract viewers. This abuse can be mitigated using human or statistical identification of spam items.[48] The number of tags allowed may also be limited to reduce spam.
    3. Hierarchical classification systems can be slow to change, and are rooted in the culture and era that created them; in contrast, the flexibility of tagging allows users to classify their collections of items in the ways that they find useful,
    4. The success of Flickr and the influence of Delicious popularized the concept,[21] and other social software websites—such as YouTube, Technorati, and Last.fm—also implemented tagging
    5. Tagging systems have sometimes been classified into two kinds: top-down and bottom-up.[3]:142[4]:24 Top-down taxonomies are created by an authorized group of designers (sometimes in the form of a controlled vocabulary), whereas bottom-up taxonomies (called folksonomies) are created by all users.
  27. Apr 2018
    1. he odd result of this is that we have trending topics in networks like Twitter and Facebook, where the vast majority of updates are short and trivial, but we don’t have easily-explorable tags, hashtags or trending topics for articles and stories that are longer and more substantive.

      Another critical point.

  28. Dec 2017
  29. Sep 2017
    1. Identify key ideas, representative authors and works, significant historical or cultural events, and characteristic perspectives or attitudes expressed in the literature of different periods or regions.2.Analyze literary works as expressions of individual or communal values within the social, political, cultural, or religious contexts of different literary periods.3.Demonstrate knowledge of the development of characteristic forms or styles of expression during different historical periods or in different regions.4.Articulate the aesthetic principles that guide the scope and variety of works in the arts and humanities

      Each of these could be sets and then subsets of controlled tags input by teacher as part of course and used by students in their annotations throughout.

  30. Jun 2017
    1. rts," "blog posts," "letters," and so forth.

      I add tags for people I need to discuss with. Then next time I know I am going to see them, i pull all the notes up. Like a "bring forward" system.

  31. Mar 2017
    1. By then end of my PhD, I had over 800 documents in my Sente library incuding journal articles and full books, many with highlights and notes. How am I supposed to find interesting bits related to one concept, idea or topic? My highlights and notes are there somewhere in those documents but there is no easy way of tracking them down and working with them. They are searchable or can be made searchable (see Jeff Pooley’s guide  on Macademic here), but that is often not very helpful. I would for instance like to see them in one place organized according to some logic. My current practice is that I make the highlights in Sente for any potential future use and at the same time I copy the text (quote) to Scrivener with the citation info and keep these snippets organized there. I would for instance have a card for ‘innovation (def.)’ in which I would only collect various definitions of innovation from the sources I read.

      Interesting process. I have tended to export all notes from one reference in a batch, and then organize them in DevonThink. In theory, this process is more efficient (I think) because I can process large numbers of notes in one go without constant app-switching. On the other hand, though, the method outlined is wonderfully direct: when you find information you need, you put it where you're going to need it.

  32. Feb 2017
    1. he names it,

      Bush is usually credited with conceiving of hyperlinks, right? But isn't he really talking about tagging?

  33. Sep 2015
    1. git-annex provides file tagging, and tag-based views materialized as filesystem checkouts a git-based data store.

  34. Apr 2015
    1. Keeping type-maps separate from the events allows the user to edit, combine, or eliminate tags based on the application.

      I think that this type of approach will be necessary for tagging methods.

    2. n semi-structured tagging, users select tags from a tag hierarchy, but may add tags within the hierarchy as needed. By reusing existing tags, users gain the structural benefits of ontologies while still retaining the flexibility of open tagging

      Yes, I believe that this is the best compromise.

  35. Jan 2015
  36. dione.library.uvic.ca dione.library.uvic.ca
    2
    1
    1. M a y b e   t h e i r   d e v i c e s   g e t   a d d e d   t o   t h e   i n d e n t i f i c a t i o n   p r o c e s s .   L e t ’ s   s a y   t h e   l a p t o p   i s   t h e i r   p r i m a r y   d e v i c e .   W h e n   t h e i r   c e l l p h o n e   i s   p u t   i n t o   t h e   f i g u r i n g   i t   i s   t h e   s e c o n d   d e v i c e   t h a t   i s   a s s o c i a t e d   w i t h   t h e   u s e r :   U S 0 0 1 2 0 0 G H K 4 2 .   T h e   “ 2 ”   s t a n d s   f o r   t h a t   s e c o n d   d e v i c e .

      This is an entry

  37. Feb 2014
    1. "I have dragged you through a lot of different concepts and methods so far. I haven't been complete because we won't have the time. But I have selected the sample features to present to you with an eye toward giving you a maximum chance to identify these as being something significant to your own type of work. I avoided discussing techniques applicable to esoteric problem-solving processes--although some of them display especially stimulating possibilities to those with appropriate backgrounds. The ability to structure arguments organized in English-language statements, and to make use of the linking and tagging capabilities at all levels of the structure, can be seen to lead to many interesting and promising new capabilities for organizing your thoughts and actions. I think you could picture learning these tricks and using them in your own work.
    2. "Anyway, with the quick flexibility available to me for structuring arguments, and semi-automatic application of special tagging and linking rules, I find it really quite easy to construct, use, or modify sophisticated process structuring. And I can turn right around and apply this toward improving my abllity for structuring argumentg and processes. The initial, straightforward capabilities for manipulating symbol structures, that were more or less obviously availed me by the computer have given to me a power to participate in more sophisticated processes that capitalize more fully upon the computer's capability--processes which are very significant to my net effectiveness, and yet which weren't particularly apparent to us as either possible or useful in the days before we started harnessing computers to the human's workaday activities in this direct way.'
    1. Man cannot hope fully to duplicate this mental process artificially, but he certainly ought to be able to learn from it. In minor ways he may even improve, for his records have relative permanency. The first idea, however, to be drawn from the analogy concerns selection. Selection by association, rather than indexing, may yet be mechanized. One cannot hope thus to equal the speed and flexibility with which the mind follows an associative trail, but it should be possible to beat the mind decisively in regard to the permanence and clarity of the items resurrected from storage.

      Selection by association, rather than indexing.

    2. The real heart of the matter of selection, however, goes deeper than a lag in the adoption of mechanisms by libraries, or a lack of development of devices for their use. Our ineptitude in getting at the record is largely caused by the artificiality of systems of indexing. When data of any sort are placed in storage, they are filed alphabetically or numerically, and information is found (when it is) by tracing it down from subclass to subclass. It can be in only one place, unless duplicates are used; one has to have rules as to which path will locate it, and the rules are cumbersome. Having found one item, moreover, one has to emerge from the system and re-enter on a new path. The human mind does not work that way. It operates by association. With one item in its grasp, it snaps instantly to the next that is suggested by the association of thoughts, in accordance with some intricate web of trails carried by the cells of the brain. It has other characteristics, of course; trails that are not frequently followed are prone to fade, items are not fully permanent, memory is transitory. Yet the speed of action, the intricacy of trails, the detail of mental pictures, is awe-inspiring beyond all else in nature.

      With the advent of Google Docs we're finally moving away from the archaic indexing mentioned here. The filesystem metaphor was simple and dominated how everyone manages their data-- which extended into how we developed web content, as well.

      The declaration that Hierarchical File Systems are Dead has led to better systems of tagging and search, but we're still far from where we need to be since there is still a heavy focus on the document as a whole instead of also the content within the document.

      The linearity of printed books is even more treacherously entrenched in our minds than the classification systems used by libraries to store those books.

      One day maybe we'll liberate every piece of content from every layer of its concentric cages: artificial systems of indexing, books, web pages, paragraphs, even sentences and words themselves. Only then will we be able to re-dress those thoughts automatically into those familiar and comforting forms that keep our thoughts caged.

    3. It affords an immediate step, however, to associative indexing, the basic idea of which is a provision whereby any item may be caused at will to select immediately and automatically another. This is the essential feature of the memex. The process of tying two items together is the important thing.

      The essential feature of the memex is its ability of association; tying two items together.

    1. Ho w to R ead a Judicia l Opin ion: A G uid e for N ew L aw Stu den ts Professor Orin S. Kerr George Washington University Law School Washington, DC Version 2.0 (August 2005) This essay is desig ned to help entering law students understand ho w to read cas es for class. It explains what judicial opinions are, how they are structured, and what you should look for when you read them. Part I explains the various ingredients found in a typical judicial opinion, and is the most essential section of the essay . Par t II discusses what you should look for when you re ad an opinion for class. Part II I con clu des with a brief discussion of why law schools use the case method.

      I need a way to add tags to a document that will apply to all annotations in a particular document (except where explicitly canceled).

      The problem is that I often want to query all annotations related to a specific document, collection of documents, or type of activity.

      Type of activity requires further explanation: Given a document or collection of documents I may annotate the document for different reasons at different times.

      For example, while annotating the reading materials, video transcripts, and related documents for the CopyrightX course there are certain types of annotations that may be "bundled together" so that when I search for those things later I can easily narrow my searches to just that subset of annotations; but at the same time I need a way to globally group things together.

      While reading judicial opinions the first activity/mode of interaction with a particular document may be to identify the structure of the judicial opinion (the document attached to this annotation describes the parts of the judicial opinion I might want to identify: *caption, case citation, author, facts of the case, law of the case, disposition, concurring and/or dissenting opinions, etc).

      The above-described mode I may use for multiple documents in one session related to the course syllabus for the week.

      To connect each of these documents together I might add the tags: copyx (my shorthand for the name of the course, CopyrightX), week 1 (how far into the course syllabus), foundations (the subject matter in the syllabus which may span week 1, week 2, etc), judicial opinions (the specific topic I am focused on learning at the moment (may or may not be related to the syllabus).

      Later on another day I might update my existing annotations or add new ones when I am preparing to study for an exam. I might add tags like to study, on midterm, on final to mark areas I need to review.

      After the exam I might add more tags based on my test score, especially focusing on areas that received a poor score so I can study that section more or, if I missed some sections so didn't study and it resulted in a poor score in that area, add tags to study for later if necessary.

      I have many more examples and modes of interaction in mind that I can explain more later, but it all hinges on a rich and flexible tagging system that:

      • allows tagging a document once in a way that applies to all annotations in a document
      • allows tagging a session once in a way that applies to all annotations in all documents connected to a particular session
      • allows tagging a session and/or a document that bundles together new tags added to an annotation (e.g. tags for grammar/spelling, tags for rhetological fallacy classification, etc)
      • fast keyboard-based selection of content
      • batch selection of annotation areas with incremental filling-- I may want to simply select all the parts of a document to annotate first and then increment through each of those placeholders to fill in tags and commentary
      • Mark multiple sections of the document at once to combine into a single annotation
      • Excerpting only parts of a text selection, but still carry the surrounding textual context with the excerpt to easily expose the surrounding context when necessary
      • A summary view of a document that is the result of remixing parts of the original document with both clarifications or self-containing summary re-writes and/or commentary from the reader
      • structural tagging vs content tagging