The Entities' Swissknife: the app that makes your job much easier
The Entities' Swissknife is an app developed in python and completely committed to Entity SEO and Semantic Publishing, supporting on-page optimization around entities recognized by Google NLP API or TextRazor API. In addition to Entity extraction, The Entities' Swissknife allows Entity Linking by instantly creating the required Schema Markup to make explicit to online search engine which entities the content of our web page describes.

The Entities' Swissknife can help you to:
understand how NLU (Natural Language Understanding) algorithms "understand" your text so you can enhance it until the topics that are crucial to you have the best relevance/salience rating;
evaluate your competitors' pages in SERPs to find possible gaps in your material;
generate the semantic markup in JSON-LD to be injected in the schema of your page to make explicit to online search engine what topics your page is about;
examine brief texts such as copy an advertisement or a bio/description for an about page. You can tweak the text up until Google recognizes with adequate self-confidence the entities that relate to you and assign them the correct salience score.

It might be practical to clarify what is implied by Entity SEO, Semantic Publishing, Schema Markup, and after that dive into using The Entities' Swissknife.

Entity SEO
Entity SEO is the on-page optimization activity that thinks about not the keywords however the entities (or sub-topics) that constitute the page's subject.
The watershed that marks the birth of the Entity SEO is represented by the article released in the official Google Blog site, which reveals the development of its Knowledge Chart.
The popular title "from strings to things" clearly expresses what would have been the main pattern in Search in the years to come at Mountain view.

To comprehend and streamline things, we can say that "things" is basically a synonym for "entity.".
In basic, entities are objects or ideas that can be distinctively identified, frequently people, things, locations, and things.

It is simpler to understand what an entity is by describing Subjects, a term Google prefers to use in its interactions for a wider audience.
On closer examination, subjects are semantically wider than things. In turn, the important things-- the things-- that come from a topic, and contribute to specifying it, are entities.
To quote my dear teacher Umberto Eco, an entity is any idea or item belonging to the world or one of the lots of "possible worlds" (literary or dream worlds).

Semantic publishing.
Semantic Publishing is the activity of publishing a page on the Internet to which a layer is added, a semantic layer in the kind of structured information that describes the page itself. Semantic Publishing assists online search engine, voice assistants, or other intelligent representatives comprehend the page's structure, context, and significance, making details retrieval and data combination more effective.
Semantic Publishing counts on embracing structured information and connecting the entities covered in a file to the same entities in different public databases.

As it appears printed on the screen, a web page contains details in an unstructured or improperly structured format (e.g., the department of sub-paragraphs and paragraphs) created to be comprehended by people.

Distinctions between a Lexical Search Engine and a Semantic Search Engine.
While a conventional lexical search engine is roughly based on matching keywords, i.e., basic text strings, a Semantic Online search engine can "comprehend"-- or a minimum of try to-- the significance of words, their semantic connection, the context in which they are placed within an inquiry or a document, thus attaining a more exact understanding of the user's search intent in order to produce more appropriate results.
A Semantic Search Engine owes these capabilities to NLU algorithms, Natural Language Comprehending, in addition to the presence of here structured information.

Topic Modeling and Content Modeling.
The mapping of the discrete units of content (Material Modeling) to which I referred can be usefully performed in the design phase and can be connected to the map of topics dealt with or treated (Topic Modeling) and to the structured information that reveals both.
It is an interesting practice (let me understand on Twitter or LinkedIn if you would like me to blog about it or make an advertisement hoc video) that permits you to develop a site and develop its material for an exhaustive treatment of a subject to obtain topical authority.
Topical Authority can be described as "depth of competence" as viewed by online search engine. In the eyes of Search Engines, you can end up being a reliable source of information worrying that network of (Semantic) entities that define the subject by consistently composing original high-quality, detailed material that covers your broad topic.

Entity linking/ Wikification.
Entity Linking is the procedure of identifying entities in a text document and relating these entities to their unique identifiers in an Understanding Base.
When the entities in the text are mapped to the entities in the Wikimedia Structure resources, Wikipedia and Wikidata, wikification happens.

The Entities' Swissknife assists you structure your content and make it much easier for online search engine to comprehend by drawing out the entities in the text that are then wikified.
If you select the Google NLP API, entity connecting will likewise occur to the corresponding entities in the Google Understanding Graph.

The schema markup residential or commercial properties for Entity SEO: about, points out, and sameAs.
Entities can be injected into semantic markup to explicitly state that our document has to do with some particular location, product, brand name, things, or idea.
The schema vocabulary properties that are used for Semantic Publishing which serve as a bridge between structured data and Entity SEO are the "about," "points out," and "sameAs" homes.

These homes are as effective as they are regrettably underutilized by SEOs, especially by those who utilize structured information for the sole function of having the ability to acquire Rich Results (FAQs, evaluation stars, item features, videos, internal website search, and so on) developed by Google both to improve the appearance and functionality of the SERP but likewise to incentivize the adoption of this requirement.
Declare your document's main topic/entity (websites) with the about home.
Rather, use the mentions property to declare secondary topics, even for disambiguation functions.

How to properly use the properties about and discusses.
The about property must describe 1-2 entities at a lot of, and these entities should be present in the H1 title.
Mentions ought to disappear than 3-5, depending on the short article's length. As a general rule, an entity (or sub-topic) should be explicitly pointed out in the markup schema if there is a paragraph, or a sufficiently significant portion, of the document dedicated to the entity. Such "mentioned" entities need to likewise exist in the relevant headline, H2 or later.

As soon as you have chosen the entities to utilize as the values of the mentions and about residential or commercial properties, The Entities' Swissknife performs Entity-Linking, through the sameAs residential or commercial property and produces the markup schema to nest into the one you have actually developed for your page.

How to Use The Entities' Swissknife.
You should enter your TextRazor API keyword or publish the credentials (the JSON file) related to the Google NLP API.
To get the API keys, register for a complimentary subscription to the TextRazor site or the Google Cloud Console [following these easy directions]
Both APIs provide a totally free daily "call" fee, which is sufficient for personal usage.

Entity SEO e Semantic Publishing: Place TextRazor API KEY - Studio Makoto Agenzia di Marketing e Comunicazione.
Insert TextRazor API KEY-- Studio Makoto Agenzia di Marketing e Comunicazione.
Entity SEO e Semantic Publishing: Upload Google NLP API secret as a JSON file - Studio Makoto Agenzia di Marketing e Comunicazione.
Submit Google NLP API secret as a JSON file-- Studio Makoto Agenzia di Marketing e Comunicazione.
In the current online version, you don't need to go into any crucial because I chose to allow the use of my API (keys are gotten in as tricks on Streamlit) as long as I do not exceed my daily quota, benefit from it!