The Entities' Swissknife: the app that makes your task easier
The Entities' Swissknife is an app developed in python and entirely dedicated to Entity SEO and Semantic Publishing, supporting on-page optimization around entities acknowledged by Google NLP API or TextRazor API. In addition to Entity extraction, The Entities' Swissknife allows Entity Linking by automatically generating the necessary Schema Markup to make specific to online search engine which entities the material of our web page describes.

The Entities' Swissknife can assist you to:
understand how NLU (Natural Language Understanding) algorithms "understand" your text so you can enhance it up until the topics that are most important to you have the very best relevance/salience score;
analyze your rivals' pages in SERPs to discover possible gaps in your material;
produce the semantic markup in JSON-LD to be injected in the schema of your page to make explicit to online search engine what subjects your page is about;
examine brief texts such as copy an ad or a bio/description for an about page. You can tweak the text up until Google acknowledges with adequate confidence the entities that pertain to you and designate them the appropriate salience rating.

It might be useful to clarify what is meant 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 but the entities (or sub-topics) that make up the page's topic.
The watershed that marks the birth of the Entity SEO is represented by the article released in the official Google Blog site, which announces the production of its Knowledge Chart.
The famous title "from strings to things" plainly expresses what would have been the primary pattern in Search in the years to come at Mountain view.

To comprehend and simplify things, we can say that "things" is basically a synonym for "entity.".
In general, entities are things or concepts that can be distinctively identified, frequently individuals, things, things, and locations.

It is simpler to comprehend what an entity is by referring to Topics, a term Google prefers to utilize in its interactions for a broader audience.
On closer examination, topics are semantically wider than things. In turn, the important things-- the things-- that belong to a subject, and add to specifying it, are entities.
Therefore, to quote my dear teacher Umberto Eco, an entity is any principle or object belonging to the world or one of the numerous "possible worlds" (literary or dream worlds).

Semantic publishing.
Semantic Publishing is the activity of releasing a page on the Web to which a layer is added, a semantic layer in the form of structured data that explains the page itself. Semantic Publishing assists online search engine, voice assistants, or other smart representatives comprehend the page's structure, meaning, and context, making information retrieval and data integration more efficient.
Semantic Publishing depends on adopting structured data and linking the entities covered in a document to the exact same entities in different public databases.

As it appears printed on the screen, a web page includes information in an unstructured or badly structured format (e.g., the division of paragraphs and sub-paragraphs) developed to be understood by humans.

Differences between a Lexical Online Search Engine and a Semantic Online Search Engine.
While a standard lexical online search engine is approximately based on matching keywords, i.e., easy text strings, a Semantic Search Engine can "understand"-- or a minimum of try to-- the meaning of words, their semantic connection, the context in which they are placed within a query or a file, hence accomplishing a more accurate understanding of the user's search intent in order to generate more relevant outcomes.
A Semantic Online search engine owes these capabilities to NLU algorithms, Natural Language Understanding, along with the presence of structured data.

Subject Modeling and Content Modeling.
The mapping of the discrete systems of content (Content Modeling) to which I referred can be usefully performed in the design phase and can be connected to the map of topics treated or dealt with (Topic Modeling) and to the structured data that reveals both.
It is a remarkable practice (let me know on Twitter or LinkedIn if you would like me to write about it or make an advertisement hoc video) that allows you to create a site and establish its content for an extensive treatment of a topic to get topical authority.
Topical Authority can be referred to as "depth of knowledge" as perceived by online search engine. In the eyes of Search Engines, you can end up being an authoritative source of details concerning that network of (Semantic) entities that specify the topic by regularly writing original high-quality, comprehensive material that covers your broad subject.

Entity linking/ Wikification.
Entity Linking is the procedure of identifying entities in a text document and relating these entities to their distinct identifiers in a Knowledge Base.
When the entities in the text are mapped to the entities in the Wikimedia Foundation resources, Wikipedia and Wikidata, wikification takes place.

The Entities' Swissknife assists you structure your content and make it easier for search engines to understand by drawing out the entities in the text that are then wikified.
Entity linking will likewise happen to the matching entities in the Google Understanding Graph if you select the Google NLP API.

The schema markup residential or commercial properties for Entity SEO: about, discusses, and sameAs.
Entities can be injected into semantic markup to explicitly state that our file is about some particular place, item, item, brand name, or concept.
The schema vocabulary residential or commercial properties that are utilized for Semantic Publishing and that serve as a bridge between structured data and Entity SEO are the "about," "discusses," and "sameAs" residential or commercial properties.

These homes are as effective as they are unfortunately underutilized by SEOs, especially by those who use structured data for the sole purpose of being able to obtain Rich Results (FAQs, review stars, product functions, videos, internal website search, and so on) developed by Google both to enhance the appearance and functionality of the SERP but also to incentivize the adoption of this standard.
Declare your document's primary topic/entity (web page) with the about property.
Instead, utilize the points out home to state secondary subjects, even for disambiguation purposes.

How to correctly use the homes about and points out.
The about residential or commercial property must refer to 1-2 entities at many, and these entities should exist in the H1 title.
References ought to be no more than 3-5, depending upon the post's length. As a general rule, an entity (or sub-topic) needs to be clearly discussed in the markup schema if there is a paragraph, or a sufficiently substantial part, of the document devoted to the entity. Such "pointed out" entities must also exist in the appropriate headline, H2 or later on.

When you have actually chosen the entities to use as the values of the mentions and about homes, The Entities' Swissknife performs Entity-Linking, via the sameAs home and generates the markup schema to nest into the one you have actually produced for your page.

How to Utilize The Entities' Swissknife.
You should enter your TextRazor API keyword or upload the qualifications (the JSON file) related to the Google NLP API.
To get the API secrets, register for a complimentary subscription to the TextRazor site or the Google Cloud Console [following read more these easy guidelines]
Both APIs offer a complimentary everyday "call" fee, which is sufficient for individual use.

Entity SEO e Semantic Publishing: Place TextRazor API SECRET - 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 variation, you do not need to go into any crucial since I chose to allow the use of my API (secrets are entered as secrets on Streamlit) as long as I do not surpass my daily quota, benefit from it!