58 Matching Annotations
  1. Feb 2019
  2. Dec 2018
    1. A semantic treebank is a collection of natural language sentences annotated with a meaning representation. These resources use a formal representation of each sentence's semantic structure.
  3. Oct 2018
    1. Do neural networks dream of semantics?

      Neural networks in visual analysis, linguistics Knowledge graph applications

      1. Data integration,
      2. Visualization
      3. Exploratory search
      4. Question answering

      Future goals: neuro-symbolic integration (symbolic reasoning and machine learning)

    1. Intelligent agents the vision revisited

      Memex, 1945 (for storing individual memories) License + societal norms + interoperability

    1. Learning Expressive Ontological Concept Descriptions via Neural NetworksMARCO ROSPOCHERTheRoadLessTraveledTransforming a sentence into an axiom

      Building ontology from text: transforming a sentence into an axiom.

  4. Nov 2017
    1. An institution has implemented a learning management system (LMS). The LMS contains a learning object repository (LOR) that in some aspects is populated by all users across the world  who use the same LMS.  Each user is able to align his/her learning objects to the academic standards appropriate to that jurisdiction. Using CASE 1.0, the LMS is able to present the same learning objects to users in other jurisdictions while displaying the academic standards alignment for the other jurisdictions (associations).

      Sounds like part of the problem Vitrine technologie-éducation has been tackling with Ceres, a Learning Object Repository with a Semantic core.

  5. Apr 2017
    1. hat Velterop essentially does is to generalize the Wikipedia implementation of distributed contributions by linking it to the semantic web

      Fascinating. Mark this for followup.

  6. Mar 2017
  7. Feb 2017
  8. Aug 2016
  9. Jun 2016
    1. produce schema-aware writing tools that everyone can use to add new documents to a nascent semantic web

      That dream does live on. Since Vannevar’s 1945 article on the Memex, we’ve been dreaming of such tools. Our current tools are quite far from that dream.

    2. Annotation can help us weave that web of linked data.

      This pithy statement brings together all sorts of previous annotations. Would be neat to map them.

  10. Apr 2016
  11. Mar 2016
    1. Open data

      Sadly, there may not be much work on opening up data in Higher Education. For instance, there was only one panel at last year’s international Open Data Conference. https://www.youtube.com/watch?v=NUtQBC4SqTU

      Looking at the interoperability of competency profiles, been wondering if it could be enhanced through use of Linked Open Data.

  12. Feb 2016
  13. Jan 2016
    1. Set Semantics¶ This tool is used to set semantics in EPUB files. Semantics are simply, links in the OPF file that identify certain locations in the book as having special meaning. You can use them to identify the foreword, dedication, cover, table of contents, etc. Simply choose the type of semantic information you want to specify and then select the location in the book the link should point to. This tool can be accessed via Tools->Set semantics.

      Though it’s described in such a simple way, there might be hidden power in adding these tags, especially when we bring eBooks to the Semantic Web. Though books are the prime example of a “Web of Documents”, they can also contribute to the “Web of Data”, if we enable them. It might take long, but it could happen.

  14. Dec 2015
    1. you can tag questions with difficulty level and Bloom’s Taxonomy level
    2. With SmartBooks, students can see the important content highlighted

      Like an algorithmic version of Hypothesis? Is McGraw-Hill part of the Coalition? Looks like it isn’t. Is it a “for us or against us” situation?

    1. personal note taking, peer review, copy editing, post publication discussion, journal clubs, classroom uses, automated classification, deep linking

      Useful list, almost a roadmap or set of scenarios. The last two might be especially intriguing, in view of the Semantic Web.

    2. deep linking

      Ah, yes! It may sound technical to some, but there’s something very useful about deep linking which can help fulfill Berners-Lee’s Semantic Web idea much more appropriately than what is currently available. Despite so many advances in Web publishing (and the growing interest in Linked Open Data), it’s often difficult to link directly to an online item of interest. In a way, Hypothesis almost allows readers to add anchor tags to an element so it can be used in a direct link.

    1. Anyone can say Anything

      The “Open World Assumption” is central to this post and to the actual shift in paradigm when it comes to moving from documents to data. People/institutions have an alleged interest in protecting the way their assets are described. Even libraries. The Open World Assumption makes it sound quite chaotic, to some ears. And claims that machine learning will solve everything tend not to help the unconvinced too much. Something to note is that this ability to say something about a third party’s resource connects really well with Web annotations (which do more than “add metadata” to those resources) and with the fact that no-cost access to some item of content isn’t the end of the openness.

  15. Nov 2015
    1. Les représentants de la Bibliothèque nationale de France (BnF) annoncèrent leur objectif de ramener le délai de traitement des documents à six semaines en moyenne

      C’était long, en 2002! Où en est la BnF, aujourd’hui? D’une certaine façon, ce résumé semble prédire la venue des données, la fédération des catalogues, etc. Pourtant, il semble demeurer de nombreux obstacles, malgré tout ce temps. Et si on pouvait annoter le Web directement?

    1. some kind of curated library

      Which is where OER catalogues (tied to the Semantic Web) may shine. Sure, they can require a lot of work. But this is precisely why they matter.

  16. Oct 2015
    1. why not annotate, say, the Eiffel Tower itself

      As long as it has some URI, it can be annotated. Any object in the world can be described through the Semantic Web. Especially with Linked Open Data.

    2. machine-readable, ‘semantic’ annotations.

      Waiting for those to be promoted, through Hypothesis and other Open Annotations platforms.

  17. Sep 2015
    1. cool-looking map

      Maps make a great case for SVG. There are some neat libraries and tools to play with SVG maps but, more importantly, maps make it easy to understand that an image can be semantic.

      A couple of weeks before Shepazu posted this, was playing with SVG maps of contemporary Africa’s political boundaries. (Especially those used on Wikipedia; including some which separate South Sudan.) Been teaching African Studies (on occasion) for years, and maps of the continent tend to become important quite quickly.

      Those SVG maps with which I started playing were pretty neat in several respects. The fact that they were vector drawings instead of bitmaps meant that they easily be resized without causing visual artifacts. More importantly, though, each country was drawn as a named outline, so it was possible to play with them as separate objects.

      One thing I was trying to do is create an animation which would show where each country fits in a region of the continent, using this United Nations geoscheme. Doing so, eventually noticed that Sudan and South Sudan had been classified as part of different regions, which is an interesting tidbit which could lead to useful classroom discussions.

      Haven’t retraced all the steps but, at some point, I’ve used a Public Domain map of Africa from Wikimedia Commons (itself based on another Public Domain map), and ended up creating a simple animated version using Tumult’s Hype commercial HTML5 editor.

      It’s flawed in many ways, but for someone with almost no background in this things, it’s a significant accomplishment.

      (Surely, the same could be done through SVG itself. Haven’t been able to learn how to do so.)

      Playing with those maps taught me quite a few things. For instance, the benefits of a well-tagged image. And some rudimentary notions of CSS-based animations. Or the limitations linked to selecting rectangular sections of an image (with a large overlap between Northern and Western Africa, for instance).

      Static Map of African Regions The experience also gave me all sorts of ideas. Such as annotating parts of a well-structured image. Or uses for Open Street Maps. Or ways to embed interactive content (including quizzes) in Open Textbooks.

      The key point, perhaps, and what led me to Schepers’s work (including this deeply insightful SVG-based presentation and interactive infographic about annotations) is that Open Standards can open up fascinating opportunities for learning.

      W3C Annotation Architecture proposal So nice to be working at a standards-happy learning technology non-profit!

  18. Aug 2015
    1. I feel that there is a great benefit to fixing this question at the spec level. Otherwise, what happens? I read a web page, I like it and I am going to annotate it as being a great one -- but first I have to find out whether the URI my browser is used, conceptually by the author of the page, to represent some abstract idea?
  19. Jun 2015
  20. 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.

  21. Oct 2014
    1. Maybe the driver for semantic web data is humans trying to programmatically consume human-readable information, rather than the other way around?
    1. observational metadata is far more reliable than the stuff that human beings create for the purposes of having their documents found. It cuts through the marketing bullshit, the self-delusion, and the vocabulary collisions

      Read the whole essay it is worth the while...