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)

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

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

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

Oh? Credentials going Semantic? CBE going TBL?

Might be worth a deeper discussion with @jeffgrann, at some point.

Fascinating. Mark this for followup.

Will 2017 be “the year of annotations”?

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.

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

That’s something we’ve been doing, yes.

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.

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.

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

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.

Well-structured annotations can pave the way towards Linked Open Data.

L’interopérabilité est essentielle à l’avènement du Web des données liées (en éducation comme ailleurs).

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.

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?

Post, comment, annotation… All different, but can all have the same predicate.

Standards matter.

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.

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.

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

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