Entity SEO and Semantic Publishing

The Entities' Swissknife: the app that makes your task much easier
The Entities' Swissknife is an app established in python and entirely devoted 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 enables Entity Linking by automatically producing the essential Schema Markup to make explicit to online search engine which entities the content of our websites refers to.

The Entities' Swissknife can help you to:
know how NLU (Natural Language Comprehending) algorithms "comprehend" your text so you can enhance it up until the topics that are most important to you have the very best relevance/salience rating;
evaluate your competitors' pages in SERPs to discover possible spaces 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 subjects your page has to do with;
analyze short texts such as copy an ad or a bio/description for an about page. You can fine-tune the text until Google acknowledges with adequate confidence the entities that pertain to you and designate 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 considers not the keywords however the entities (or sub-topics) that make up the page's subject.
The watershed that marks the birth of the Entity SEO is represented by the short article released in the main Google Blog site, which reveals the development of its Understanding Chart.
The well-known 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 understand and streamline things, we can state that "things" is basically a synonym for "entity.".
In general, entities are things or principles that can be distinctively determined, often individuals, things, places, and things.

It is simpler to understand what an entity is by describing Subjects, a term Google prefers to utilize in its communications for a broader audience.
On closer examination, subjects are semantically broader than things. In turn, the important things-- the important things-- that belong to a subject, and contribute to specifying it, are entities.
To quote my dear teacher Umberto Eco, an entity is any concept or things belonging to the world or one of the many "possible worlds" (literary or dream worlds).

Semantic publishing.
Semantic Publishing is the activity of publishing a page on the Web to which a layer is included, a semantic layer in the type of structured information that describes the page itself. Semantic Publishing assists search engines, voice assistants, or other smart agents understand the page's significance, context, and structure, making information retrieval and data combination more efficient.
Semantic Publishing depends on embracing structured information and linking the entities covered in a file to the very same entities in different public databases.

As it appears printed on the screen, a websites contains info in a disorganized or inadequately structured format (e.g., the division of sub-paragraphs and paragraphs) created to be understood by people.

Distinctions in between a Lexical Online Search Engine and a Semantic Search Engine.
While a traditional lexical search engine is roughly based upon matching keywords, i.e., easy text strings, a Semantic Online search engine can "comprehend"-- or at least try to-- the meaning of words, their semantic connection, the context in which they are placed within a file or a query, hence achieving a more precise understanding of the user's search intent in order to produce more appropriate outcomes.
A Semantic Online search engine owes these capabilities to NLU algorithms, Natural Language Comprehending, in addition to the existence of structured information.

Topic Modeling and Content Modeling.
The mapping of the discrete units of content (Content Modeling) to which I referred can be usefully performed in the style stage and can be connected to the map of topics treated or treated (Topic Modeling) and to the structured data that reveals both.
It is an interesting practice (let me know on Twitter or LinkedIn if you would like me to write about it or make an ad hoc video) that permits you to create a site and develop its material for an extensive treatment of a subject to obtain topical authority.
Topical Authority can be described as "depth of proficiency" as perceived by online search engine. In the eyes of Search Engines, you can become a reliable source of info concerning that network of (Semantic) entities that specify the topic by regularly composing original high-quality, thorough material that covers your broad topic.

Entity connecting/ Wikification.
Entity Linking is the process of recognizing 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 Foundation resources, Wikipedia and Wikidata, wikification occurs.

The Entities' Swissknife assists you structure your content and make it much easier for search engines to comprehend by extracting the entities in the text that are then wikified.
If you pick the Google NLP API, entity linking will likewise strike the corresponding entities in the Google Understanding Graph.

The schema markup properties for Entity SEO: about, points out, and sameAs.
Entities can be injected into semantic markup to clearly specify that our file has to do with some specific place, item, brand, object, or principle.
The schema vocabulary residential or commercial properties that are utilized for Semantic Publishing and that function as a bridge in between structured information and Entity SEO are the "about," "discusses," and "sameAs" homes.

These homes are as effective as they are sadly underutilized by SEOs, especially by those who utilize structured information for the sole purpose of having the ability to get Rich Results (Frequently asked questions, review stars, item features, videos, internal site search, etc) developed by Google both to improve the look and functionality of the SERP but likewise to incentivize the adoption of this standard.
State your document's primary topic/entity (web page) with the about home.
Instead, use the points out residential or commercial property to state secondary topics, even for disambiguation purposes.

How to correctly utilize the properties about and points out.
The about residential or commercial property should refer to 1-2 entities at the majority of, and these entities ought to exist in the H1 title.
Mentions should disappear than 3-5, depending on the article's length. As a basic rule, an entity (or sub-topic) ought to be clearly pointed out in the markup schema if there is a paragraph, or a sufficiently substantial portion, of the file dedicated to the entity. Such "pointed out" entities should likewise be present in the pertinent headline, H2 or later on.

As soon as you have picked the entities to utilize as the worths of the points out and about residential or commercial properties, The Entities' Swissknife carries out Entity-Linking, by means of the sameAs property and produces the markup schema to nest into the one you have actually produced for your page.

How to Use The Entities' Swissknife.
You must enter your TextRazor API keyword or upload the qualifications (the JSON file) related to the Google NLP API.
To get the API keys, register for a complimentary subscription to the TextRazor website or the Google Cloud Console [following these basic instructions]
Both APIs supply a free everyday "call" cost, which is sufficient for individual usage.

Entity SEO e Semantic Publishing: Insert TextRazor API SECRET - Studio Makoto Agenzia di Marketing e Comunicazione.
Place TextRazor API SECRET-- 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.
Publish Google NLP API key as a JSON file-- Studio Makoto Agenzia di Marketing click here e Comunicazione.
In the present online version, you do not need to enter any essential because I chose to enable the usage of my API (keys are gone into as secrets on Streamlit) as long as I don't exceed my daily quota, benefit from it!