The Entities' Swissknife: the app that makes your job easier
The Entities' Swissknife is an app established in python and totally 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 allows Entity Linking by instantly producing the necessary Schema Markup to make specific to online search engine which entities the content of our websites refers to.

The Entities' Swissknife can assist you to:
understand how NLU (Natural Language Understanding) algorithms "comprehend" your text so you can optimize it until the subjects that are most important to you have the very best relevance/salience rating;
analyze your rivals' pages in SERPs to discover possible spaces in your content;
create the semantic markup in JSON-LD to be injected in the schema of your page to make explicit to search engines 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 until Google acknowledges with sufficient self-confidence the entities that are relevant to you and appoint them the appropriate salience rating.

It may be handy to clarify what is indicated by Entity SEO, Semantic Publishing, Schema Markup, and then 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 short article released in the official Google Blog site, which announces the development of its Understanding Graph.
The popular title "from strings to things" clearly expresses what would have been the main trend 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 items or principles that can be uniquely identified, frequently individuals, things, places, and things.

It is much easier to understand what an entity is by referring to Subjects, a term Google chooses to use in its communications for a wider audience.
On closer evaluation, subjects are semantically broader than things. In turn, the things-- the important things-- that come from a topic, and contribute to defining it, are entities.
For that reason, to estimate my dear teacher Umberto Eco, an entity is any concept or item coming from the world or among the lots of "possible worlds" (literary or fantasy worlds).

Semantic publishing.
Semantic Publishing is the activity of publishing a page on the Internet to which a layer is included, a semantic layer in the kind of structured information that explains the page itself. Semantic Publishing helps search engines, voice assistants, or other intelligent agents understand the page's meaning, context, and structure, making details retrieval and information combination more effective.
Semantic Publishing relies on adopting structured data and linking the entities covered in a document to the same entities in various public databases.

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

Differences in between a Lexical Online Search Engine and a Semantic Online Search Engine.
While a traditional lexical search engine is approximately based upon matching keywords, i.e., simple text strings, a Semantic Search Engine can "comprehend"-- or a minimum of try to-- the meaning of words, their semantic correlation, the context in which they are placed within an inquiry or a file, hence achieving a more precise understanding of the user's search intent in order to produce more pertinent outcomes.
A Semantic Search Engine owes these capabilities to NLU algorithms, Natural Language Understanding, in addition to the existence of structured data.

Subject Modeling and Content Modeling.
The mapping of the discrete systems of material (Material Modeling) to which I referred can be usefully performed in the style stage and can be related to the map of topics treated or treated (Topic Modeling) and to the structured data that expresses both.
It is a remarkable practice (let me understand on Twitter or LinkedIn if you would like me to blog about it or make an ad hoc video) that allows you to design a site and develop its content for an exhaustive treatment of a topic to obtain topical authority.
Topical Authority can be referred to as "depth of know-how" as viewed by online search engine. In the eyes of Online search engine, you can end up being a reliable source of information worrying that network of (Semantic) entities that specify the subject by regularly composing initial high-quality, comprehensive material that covers your broad subject.

Entity connecting/ Wikification.
Entity Linking is the procedure of recognizing entities in a text document and relating these entities to their unique identifiers in a Knowledge Base.
Wikification occurs when the entities in the text are mapped to the entities in the Wikimedia Foundation resources, Wikipedia and Wikidata.

The Entities' Swissknife helps you structure your material 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 choose the Google NLP API, entity connecting will also occur to the corresponding 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 explicitly state that our document has to do with some particular location, product, item, brand, or concept.
The schema vocabulary properties that are utilized for Semantic Publishing which serve as a bridge between structured information and Entity SEO are the "about," "discusses," and "sameAs" residential or commercial properties.

These properties 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 Outcomes (Frequently asked questions, review stars, item functions, videos, internal site search, and so on) produced by Google both to improve the look and functionality of the SERP however likewise to incentivize the adoption of this standard.
State your document's main topic/entity (websites) with the about property.
Rather, use the mentions home to declare secondary subjects, even for disambiguation purposes.

How to properly use the properties about and points out.
The about property needs to refer to 1-2 entities at most, and these entities must be present in the H1 title.
References should disappear than 3-5, depending on the post's length. As a general guideline, an entity (or sub-topic) should be clearly mentioned in the markup schema if there is a paragraph, or an adequately significant part, of the document dedicated to the entity. Such "mentioned" entities must likewise be present in the pertinent headline, H2 or later on.

Once you have actually picked the entities to use as the worths of the mentions and about residential or commercial properties, The Entities' Swissknife performs Entity-Linking, through the sameAs home and produces the markup schema to nest into the one you have actually created for your page.

How to Use The Entities' Swissknife.
You need to enter your TextRazor API keyword or upload the qualifications (the JSON file) associated 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 easy guidelines]
Both APIs provide a check here totally free day-to-day "call" fee, which is sufficient for individual use.

Entity SEO e Semantic Publishing: Insert TextRazor API SECRET - Studio Makoto Agenzia di Marketing e Comunicazione.
Place 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.
Publish Google NLP API key as a JSON file-- Studio Makoto Agenzia di Marketing e Comunicazione.
In the present online variation, you do not need to go into any crucial due to the fact that I decided to enable the usage of my API (secrets are entered as secrets on Streamlit) as long as I do not surpass my day-to-day quota, take advantage of it!