In other words, the semantic field of the hyponym is included within that of the hypernym.

Summarization of Methods for DeFi Optimization

MemoNote, an annotation-based personal knowledge management tool for teachers

Improving communication and knowledge accessibility well beyond the Wikipedia projects.

Connected Papers uses the publicly available corpus compiled by Semantic Scholar — a tool set up in 2015 by the Allen Institute for Artificial Intelligence in Seattle, Washington — amounting to around 200 million articles, including preprints.

Hypothes.is

Table 8-2. Various manifestations/eras of the Web and their defining characteristics

Um dem entgegenzuwirken, werden im Forschungsbereich Corporate Semantic Web innovative Konzepte und Lösungen für die Gewinnung, Verwaltung und Nutzung von Wissen auf Basis von semantischen Technologien mit speziellem Fokus auf den Unternehmenskontext entwickelt.

Während das Semantic Web im Kern auf Standards zur Beschreibung von Prozessen, Dokumenten und Inhalten sowie entsprechenden Metadaten – vorwiegend vom W3C27 vorge-schlagen – aufsetzt, und damit einen Entwurf für das Internet der nächsten Generation darstellt, adressieren semantische Technologien Herausforde-rungen zur Bewältigung komplexer Arbeitsprozesse, Informationsmengen bzw. RetrievalProzessen und Vernetzungs- oder Integrationsaktivitäten, die nicht nur im Internet, sondern auch innerhalb von Organisationsgrenzen in Angriff genommen werden.

Sauermann L (2003) The Gnowsis-Using Semantic Web Technologies to build a Semantic Desktop. Diplomarbeit

Innerhalb eines Jahres wurde ein neuer Begriff geprägt: Web 3.0, der die Entwicklung des Webs über die 1.0-Ära der HTML-Webseiten und den frühen E-Commerce hinaus in die grelle 2.0-Periode markiert, in der soziale Medien und „benutzergenerierte Inhalte“ geboren wurden. .

Eine wesentliche Idee von Linked Data ist es, dass Daten und Informationen un-terschiedlichster Herkunft und Struktur auf Basis von Standards interpretiert, (weiter-)verarbeitet, verknüpft und schließlich dem User in einer Form präsentiert werden können,sodass dieser seine Aufwände zur Informationsgewinnung und -aufbereitung verringernkann

Zusätzlich bietet die Abfragesprache SPARQL die Möglichkeit,RDF-kodierte semantische Daten strukturiert abzufragen, wobei bereits (beschränkter)Gebrauch der Möglichkeit logischer Schlussfolgerungen gemacht werden kann.

OWL basiert auf einer speziellen mathematischen Beschreibungslogik (SHROIQ(D)) undstellt ein ausdrucksmächtiges Instrument zur Modellierung von Wissensrepräsentationen(Ontologien) dar [34].

Abbildung 2.3 zeigt den vorgeschlagenen SemanticWeb Technologie-Stapel, der das traditionelle World Wide Web ergänzt, und gibt den ak-tuellen Stand der Standardisierung an.

Diese Form von Wissens-repräsentation wird in der Informatik als Ontologie bezeichnet.

Die Idee hinter dem Semantic Web liegt darin, die Bedeutung von sprachlichen Be-griffen und anderen bedeutungstragenden Entitäten explizit in einer maschinenlesbarenund vom Computer korrekt interpretierbaren Form anzugeben

Die mit Linked Data beschrittene Lösung macht sich existierende Technologien zu Nut-ze, die vom W3C2 als Semantic Web Technologien standardisiert wurden.

Practical guidance on KR, knowledge graphs, semantic technologies, and KBpedia

it depends on businesses working together, on them cooperating.

Make fleeting notes. Always have something at hand to write withto capture every idea that pops into your mind.

my main frustrations are around the lack of the very basic things that computers can do extremely well: data retrieval and search. I'll carry on, just listing some examples. Let's see if any of them resonate with you:

youtube videos, even though most of them have subtitles hence allowing for full text search?

the tool I've developed

a more realistic and plausible target: using my digital trace (such as browser history, webpage annotations and my personal wiki) to make up for my limited memory

Advocates of Deep/Machine Learning often dismiss the Semantic Web, claiming that algorithms are much better at constructing knowledge from large amounts of data than are these painstaking efforts to encode knowledge

Web documents are databases full of facts and assertions that we are ill-equipped to find

How will we retrofit the web we already have?

The semantic web is, of course, another idea that’s been kicking around forever. In that imagined version of the web, documents encode data structures governed by shared schemas. And those islands of data are linked to form archipelagos that can be traversed not only by people but also by machines. That mostly hasn’t happened because we don’t yet know what those schemas need to be, nor how to create writing tools that enable people to easily express schematized information

there was line of thought among those making native GUIs (see also Sherlock) that future of the web was having more things from web pulled into native GUIs

Bibleref is a simple approach to automatically identifying Bible references that are embedded in blog posts and other web pages. This enables search engines, content aggregators, and other automated tools to correctly label the references so they're more easily searchable. Bibleref is part of a general movement toward markup that expresses more semantic, rather than presentational, element.

I’ve written a few thousand words on why traditional “semantic class names” are the reason CSS is hard to maintain, but the truth is you’re never going to believe me until you actually try it.

My understanding is that the caret is the answer for traditional SemVer, i.e., there will be breaking changes prior to 0.1.0, there may be breaking changes between minor versions prior to 1.0.0, and there may only be breaking changes between major versions above 1.0.0.

since table data is essentially an ordered collection of items, it seems natural to use ordered lists.

The TypeScript team has made it clear. They do not follow semver. "minor" (X.X) releases can contain breaking changes. Major releases (X) have very little meaning.

For better or worse, TS doesn't do semantic versioning; see #31761

A semantic command dispatch intended for loading external dependencies into the environment.

semantically target the element

The use of U+212B 'Angstrom sign', which was encoded due to round-trip mapping compatibility with an East-Asian character encoding, is discouraged, and the preferred representation is U+00C5 'capital letter A with ring above', which has the same glyph.

It should be defined inline. If you are using the img tag, that image should have semantic value to the content, which is why the alt attribute is required for validation. If the image is to be part of the layout or template, you should use a tag other than the img tag and assign the image as a CSS background to the element. In this case, the image has no semantic meaning and therefore doesn't require the alt attribute. I'm fairly certain that most screen readers would not even know that a CSS image exists.

Which HTML tag I should use to enclose such notes to add a semantic meaning of a note that may be useful to read at a given point of a tutorial, but is not part of the main tutorial flow?

The hierarchical structure of semantic fields can be mostly seen in hyponymy.

A hyponym is a word or phrase whose semantic field is more specific than its hypernym.

A semantic class contains words that share a semantic feature.

For example within nouns there are two sub classes, concrete nouns and abstract nouns.

The concrete nouns include people, plants, animals, materials and objects while the abstract nouns refer to concepts such as qualities, actions, and processes.

Semantic classes may intersect. The intersection of female and young can be girl.

Some types exist as descriptions of objects, but not as tangible physical objects. One can show someone a particular bicycle, but cannot show someone, explicitly, the type "bicycle", as in "the bicycle is popular."

The words type, concept, property, quality, feature and attribute (all used in describing things) tend to be used with different verbs. E.g. Suppose a rose bush is defined as a plant that is "thorny", "flowering" and "bushy". You might say a rose bush instantiates these three types, or embodies these three concepts, or exhibits these three properties, or possesses these three qualities, features or attributes.

A semantic similarity network (SSN) is a special form of semantic network.[1] designed to represent concepts and their semantic similarity. Its main contribution is reducing the complexity of calculating semantic distances.

'female' + 'performer' = 'actress'

An individual semantic feature constitutes one component of a word's intention, which is the inherent sense or concept evoked.

The semantic features of a word can be notated using a binary feature notation common to the framework of componential analysis.[11] A semantic property is specified in square brackets and a plus or minus sign indicates the existence or non-existence of that property.

Semantic class

semantic fields are constantly flowing into each other

The English word "man" used to mean "human being" exclusively, while today it predominantly means "adult male," but its semantic field still extends in some uses to the generic "human"

Synonymy requires the sharing of a sememe or seme, but the semantic field is a larger area surrounding those.

A general and intuitive description is that words in a semantic field are not necessarily synonymous, but are all used to talk about the same general phenomenon.

A semantic field denotes a segment of reality symbolized by a set of related words. The words in a semantic field share a common semantic property

grouped semantically (by meaning)

semantic domain or semantic field

For instance English has a domain ‘Rain’, which includes words such as rain, drizzle, downpour, raindrop, puddle.

For instance, in basketball there are many words that are specific to the sport. Free throw, court, half court, three pointer, and point guard are all terms that are specific to the sport of basketball. These words make very little sense when used outside of the semantic domain of basketball.

In lexicography a semantic domain or semantic field is defined as "an area of meaning and the words used to talk about it

Semantic domains are the foundational concept for initial stages of vernacular dictionary building projects.

meaningful or meaningless – for example, whether a given word is part of a language's lexicon with a generally understood meaning

is the capacity for a word or phrase to have multiple meanings, usually related by contiguity of meaning within a semantic field.

The semantic has changed a bit as far as I understand. You need to select a pipeline in debug mode.

Usually when people are talking about code being semantically correct, they're referring to the code that accurately describes something.

HTML elements have meaning. "Semantically correct" means that your elements mean what they are supposed to.

Semantically correct usage of elements means that you use them for what they are meant to be used for.

It means that you're calling something what it actually is.

Another example: a list (<ul> or <ol>) should generally be used to group similar items (<li>). You could use a div for the group and a <span> for each item, and style each span to be on a separate line with a bullet point, and it might look the way you want. But "this is a list" conveys more information.

The classic example is that if something is a table, it should contain rows and columns of data. To use that for layout is semantically incorrect - you're saying "this is a table" when it's not.

Browsers can correctly apply your CSS (Cascading Style Sheets), describing how each type of content should look. You can offer alternative styles, or users can use their own; as long as you've labeled your elements semantically, rules like "I want headlines to be huge" will be usable.

Screen readers for the blind can help them fill out a form more easily if the logical sections are broken into fieldsets with one legend for each one. A blind user can hear the legend text and decide, "oh, I can skip this section," just as a sighted user might do by reading it.

Mobile phones can switch to a numeric keyboard when they see a form input of type="tel" (for telephone numbers).

Knowing what your elements are lets browsers use sensible defaults for how they should look and behave. This means you have less customization work to do and are more likely to get consistent results in different browsers.

All of this semantic labeling helps machines parse your content, which helps users.

Fits the ideal behind HTML HTML stands for "HyperText Markup Language"; its purpose is to mark up, or label, your content. The more accurately you mark it up, the better. New elements are being introduced in HTML5 to more accurately label common web page parts, such as headers and footers.

You don’t need to do any tricky cursor stuff, because it’s all semantically wired up already.

always use real <label for="correct_input"> elements. Just that alone is a UX consideration all too many forms fail on

Semantics are mostly relevant for nesting

Remember, in a railway activity each task has two standard outputs with the “semantics” success and failure.

By using Output(:semantic), you can select an existing output of the task and rewire it.

Since you can reference outputs by their semantic, you as a modeller only connect conceptual termini to ongoing connections!

I use <b>s for the decorative portions of the layout because they’re purely decorative elements. There’s no content to strongly emphasize or to boldface, and semantically a <b> isn’t any better or worse than a <span>. It’s just a hook on which to hang some visual effects. And it’s shorter, so it minimizes page bloat (not that a few characters will make all that much of a difference). More to the point, the <b>’s complete lack of semantic meaning instantly flags it in the markup as being intentionally non-semantic. It is, in that meta sense, self-documenting.

You can style a link to look button-like Perhaps some of the confusion between links and buttons is stuff like this: <img loading="lazy" src="https://i1.wp.com/css-tricks.com/wp-content/uploads/2020/01/Screen-Shot-2020-01-08-at-8.55.49-PM.png?resize=264%2C142&#038;ssl=1" alt="" class="wp-image-301534" width="264" height="142" data-recalc-dims="1" />Very cool “button” style from Katherine Kato. That certainly looks like a button! Everyone would call that a button. Even a design system would likely call that a button and perhaps have a class like .button { }. But! A thing you can click that says “Learn More” is very much a link, not a button. That’s completely fine, it’s just yet another reminder to use the semantically and functionally correct element.

Heading hierarchy. Don't skip heading levels. In order to solve this problem, you need to separate the semantics from the style.

Unless we choose to use the semver ju-jitsu of calling the changes a bugfix

I've spent the last 3.5 years building a platform for "information applications". The key observation which prompted this was that hierarchical file systems didn't work well for organising information within an organisation.However, hierarchy itself is still incredibly valuable. People think in terms of hierarchies - it's just that they think in terms of multiple hierarchies and an item will almost always belong in more than one place in those hierarchies.If you allow users to describe items in the way which makes sense to them, and then search and browse by any of the terms they've used, then you've eliminated almost all the frustrations of a file system. In my experience of working with people building complex information applications, you need: * deep hierarchy for classifying things * shallow hierarchy for noting relationships (eg "parent company") * multi-values for every single field * controlled values (in our case by linking to other items wherever possible) Unfortunately, none of this stuff is done well by existing database systems. Which was annoying, because I had to write an object store.

Semantically Annotated Content Opens Up Cost-Effective Opportunities: Search beyond keywords; Content aggregation beyond manual sifting through; Relationships discovery beyond human research.

New Semantic Tags Added by HTML5

The versions must be compatible, so if a peerDependency is listed as 2.x, you can’t install 1.x or another version. It all follows semantic versioning.

The fully styleable primitives that the web offers (e.g. <div>) are quite powerful, but they lack semantic meaning. This means that accessibility is often missing because assistive technology cannot make sense of the div soup that we use to implement our components.

The benefit of using the <ul> (unordered list) element are plenty: it will stay a list outside the context of our page, for example in Safari Reader mode, it will show as a list when printed with stylesheet turned off, it will show as a list for people who use screenreaders, it is a list (screenreaders can announce things like ‘list, 3 items’).

semantic markup was of key importance

This graph view is the easiest possible mental model for RDF and is often used in easy-to-understand visual explanations

The wiki can be used as a semantic networking tool, a way to construct meaningful connections between topics, ideas or concepts. A semantic network is composed of nodes (such as wiki pages ) with meaningful links (hyperlinks) connecting them. A semantic network of wikis can help learners to organize their ideas and to convey that organisation of ideas to others (Jonassen et al, 1999, p.165)

broaden the definition of a ‘researcher’ to include a molecular biologist and basic science researcher, and to widen the scope of research ethics

for example, comments and identifiers

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.

Do neural networks dream of semantics?

Intelligent agents the vision revisited

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

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).

Moving to a Web of Linked Data for Credential Ecosystems

hat Velterop essentially does is to generalize the Wikipedia implementation of distributed contributions by linking it to the semantic web