The Entities' Swissknife: the app that makes your job easier
The Entities' Swissknife is an app developed in python and totally committed 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 creating the needed Schema Markup to make explicit to search engines which entities the material of our websites refers to.

The Entities' Swissknife can help you to:
understand how NLU (Natural Language Comprehending) algorithms "understand" your text so you can enhance it till the topics that are most important to you have the very best relevance/salience rating;
analyze your rivals' pages in SERPs to find 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;
analyze brief texts such as copy an ad or a bio/description for an about page. You can tweak the text till Google recognizes with enough self-confidence the entities that are relevant to you and appoint them the right salience score.

It might be practical to clarify what is implied 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 short article published in the main Google Blog, which reveals the development of its Knowledge Chart.
The famous title "from strings to things" plainly expresses what would have been the main pattern in Search in the years to come at Mountain view.

To comprehend and simplify things, we can state that "things" is more or less a synonym for "entity.".
In basic, entities are items or principles that can be uniquely identified, frequently people, things, locations, and things.

It is much easier to understand what an entity is by describing Topics, a term Google chooses to use in its interactions for a broader audience.
On closer examination, topics are semantically more comprehensive than things. In turn, the things-- the important things-- that belong to a subject, and contribute to specifying it, are entities.
Therefore, to estimate my dear professor Umberto Eco, an entity is any principle or object coming from the world or one of the numerous "possible worlds" (literary or fantasy 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 comprehend the page's structure, significance, and context, making details retrieval and information integration more efficient.
Semantic Publishing relies on adopting structured data and linking the entities covered in a document to the exact same entities in numerous public databases.

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

Distinctions in between a Lexical Search Engine and a Semantic Online Search Engine.
While a standard lexical search engine is roughly based upon matching keywords, i.e., basic text strings, a Semantic Search Engine can "understand"-- or a minimum of attempt to-- the meaning of words, their semantic connection, the context in which they are placed within a document or an inquiry, thus accomplishing a more exact understanding of the user's search intent in order to create more relevant results.
A Semantic Online search engine owes these abilities to NLU algorithms, Natural Language Understanding, in addition to the existence of structured information.

Subject Modeling and Content Modeling.
The mapping of the discrete units of material (Material Modeling) to which I referred can be usefully performed in the design phase and can be associated with the map of subjects dealt with or treated (Topic Modeling) and to the structured data that expresses both.
It is an interesting practice (let me understand on Twitter or LinkedIn if you would like me to write about it or make an ad hoc video) that allows you to develop a website and establish its material for an exhaustive treatment of a topic to obtain topical authority.
Topical Authority can be described as "depth of know-how" as viewed by search engines. In the eyes of Search Engines, you can become an authoritative source of info worrying that network of (Semantic) entities that specify the subject by regularly writing original high-quality, extensive content that covers your broad topic.

Entity connecting/ Wikification.
Entity Linking is the procedure of recognizing entities in a text file and relating these entities to their special 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 happens.

The Entities' Swissknife helps you structure your content and make it simpler for online search engine to comprehend by drawing out the entities in the text that are then wikified.
If you pick the Google NLP API, entity connecting will likewise strike the matching entities in the Google Understanding Chart.

The schema markup homes for Entity SEO: about, points out, and sameAs.
Entities can be injected into semantic markup to clearly mention that our file has to do with some particular location, item, things, principle, or brand name.
The schema vocabulary homes that are utilized for Semantic Publishing which serve as a bridge between structured data and Entity SEO are the "about," "mentions," and "sameAs" properties.

These properties are as powerful as they are regrettably underutilized by SEOs, specifically by those who utilize structured information for the sole purpose of being able to obtain Rich Outcomes (Frequently asked questions, evaluation stars, item features, videos, internal site search, and so on) developed by Google both to enhance the look and functionality of the SERP but also to incentivize the adoption of this requirement.
State your document's primary topic/entity (web page) with the about property.
Rather, utilize the mentions residential or commercial property to state secondary topics, even for disambiguation functions.

How to properly utilize the residential or commercial properties about and mentions.
The about home ought to refer to 1-2 entities at the majority of, and these entities must be present in the H1 title.
Mentions must be no more than 3-5, depending on the post's length. As a basic rule, an entity (or sub-topic) should be clearly mentioned in the markup schema if there is a paragraph, or an adequately substantial portion, of the file dedicated to the entity. Such "mentioned" entities need to likewise exist in the relevant headline, H2 or later on.

Once you have actually picked the entities to utilize as the values of the points out and about homes, The Entities' Swissknife carries out Entity-Linking, through the sameAs residential or commercial property and generates the markup schema to nest into the one you have actually developed for your page.

How to Utilize The Entities' get more info 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 membership to the TextRazor website or the Google Cloud Console [following these simple instructions]
Both APIs offer a free daily "call" cost, which is ample for individual use.

Entity SEO e Semantic Publishing: Place TextRazor API KEY - 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 secret as a JSON file - Studio Makoto Agenzia di Marketing e Comunicazione.
Upload Google NLP API secret as a JSON file-- Studio Makoto Agenzia di Marketing e Comunicazione.
In the present online version, you don't require to enter any essential because I chose to permit the usage of my API (secrets are gone into as tricks on Streamlit) as long as I don't surpass my everyday quota, make the most of it!