The Entities' Swissknife: the app that makes your task easier
The Entities' Swissknife is an app developed in python and completely dedicated 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 essential Schema Markup to make specific to search engines which entities the content of our websites describes.

The Entities' Swissknife can help you to:
understand how NLU (Natural Language Comprehending) algorithms "understand" your text so you can optimize it till the subjects that are essential to you have the best relevance/salience rating;
evaluate your competitors' pages in SERPs to find possible spaces in your content;
create the semantic markup in JSON-LD to be injected in the schema of your page to make specific to search engines what subjects your page is about;
examine short texts such as copy an ad or a bio/description for an about page. You can tweak the text until Google acknowledges with adequate confidence the entities that pertain to you and designate them the correct salience rating.

It may be helpful to clarify what is suggested by Entity SEO, Semantic Publishing, Schema Markup, and after that dive into utilizing 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 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 announces the development of its Knowledge Graph.
The popular title "from strings to things" clearly reveals what would have been the primary pattern in Search in the years to come at Mountain view.

To understand and simplify things, we can state that "things" is more or less a synonym for "entity.".
In basic, entities are objects or ideas that can be distinctively identified, typically people, things, things, and places.

It is simpler to understand what an entity is by describing Topics, a term Google prefers to utilize in its interactions for a broader audience.
On closer assessment, topics are semantically broader than things. In turn, the important things-- the important things-- that belong to a topic, and add to specifying it, are entities.
Therefore, to quote my dear professor Umberto Eco, an entity is any idea or things coming from 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 included, a semantic layer in the form of structured data that describes the page itself. Semantic Publishing helps search engines, voice assistants, or other intelligent agents understand the page's structure, context, and significance, making info retrieval and information combination more effective.
Semantic Publishing counts on embracing structured information and connecting the entities covered in a file to the very same entities in numerous public databases.

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

Differences between a Lexical Search Engine and a Semantic Search Engine.
While a traditional lexical online search engine is approximately based upon matching keywords, i.e., easy text strings, a Semantic Search Engine can "understand"-- or at least attempt to-- the significance of words, their semantic connection, the context in which they are inserted within a question or a file, therefore achieving a more precise understanding of the user's search intent in order to create more appropriate results.
A Semantic Search Engine owes these abilities to NLU algorithms, Natural Language Comprehending, as well as the presence of structured information.

Subject Modeling and Content Modeling.
The mapping of the discrete systems get more info 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 dealt with or dealt with (Topic Modeling) and to the structured data that expresses 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 enables you to design a website and develop its material for an exhaustive treatment of a subject to obtain topical authority.
Topical Authority can be referred to as "depth of know-how" 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 initial high-quality, extensive material that covers your broad topic.

Entity connecting/ Wikification.
Entity Linking is the procedure of determining entities in a text file 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 material and make it simpler for online search engine to understand by extracting the entities in the text that are then wikified.
Entity connecting will also happen to the matching entities in the Google Understanding Graph if you choose the Google NLP API.

The schema markup homes for Entity SEO: about, mentions, and sameAs.
Entities can be injected into semantic markup to explicitly specify that our file has to do with some particular place, product, things, concept, or brand.
The schema vocabulary residential or commercial properties that are used for Semantic Publishing and that serve as a bridge in between structured information and Entity SEO are the "about," "points out," and "sameAs" homes.

These properties are as powerful 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, evaluation stars, item functions, videos, internal website search, and so on) produced by Google both to improve the appearance and functionality of the SERP but likewise to incentivize the adoption of this requirement.
State your file's primary topic/entity (web page) with the about property.
Instead, use the mentions home to state secondary subjects, even for disambiguation purposes.

How to correctly utilize the homes about and points out.
The about residential or commercial property must refer to 1-2 entities at most, and these entities should exist in the H1 title.
References ought to be no more than 3-5, depending upon the short article's length. As a general guideline, an entity (or sub-topic) needs to be explicitly mentioned in the markup schema if there is a paragraph, or a sufficiently substantial portion, of the document committed to the entity. Such "discussed" entities should likewise be present in the relevant heading, H2 or later.

As soon as you have actually selected the entities to utilize as the values of the mentions and about homes, The Entities' Swissknife performs Entity-Linking, by means of the sameAs residential or commercial property and generates the markup schema to nest into the one you have actually created for your page.

How to Utilize The Entities' Swissknife.
You must enter your TextRazor API keyword or publish the qualifications (the JSON file) associated 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 guidelines]
Both APIs offer a complimentary everyday "call" cost, 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 SECRET-- Studio Makoto Agenzia di Marketing e Comunicazione.
Entity SEO e Semantic Publishing: Upload Google NLP API key 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 get in any key since I chose to enable the usage of my API (secrets are entered as tricks on Streamlit) as long as I do not exceed my everyday quota, make the most of it!