The Entities' Swissknife: the app that makes your job 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 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 online search engine which entities the content of our web page refers to.

The Entities' Swissknife can assist you to:
understand how NLU (Natural Language Comprehending) algorithms "comprehend" your text so you can optimize it until the topics that are crucial to you have the very best relevance/salience rating;
evaluate your competitors' pages in SERPs to find possible spaces 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 advertisement or a bio/description for an about page. You can fine-tune the text until Google acknowledges with enough self-confidence the entities that are relevant to you and assign them the proper salience rating.

It may 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 considers not the keywords however the entities (or sub-topics) that constitute the page's topic.
The watershed that marks the birth of the Entity SEO is represented by the post released in the official Google Blog site, which announces the creation of its Understanding Graph.
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 say that "things" is basically a synonym for "entity.".
In general, entities are things or ideas that can be uniquely recognized, often individuals, things, things, and places.

It is much easier to understand what an entity is by describing Topics, a term Google prefers to utilize in its communications for a more comprehensive audience.
On closer evaluation, subjects are semantically wider than things. In turn, the important things-- the things-- that come from a topic, and add to defining it, are entities.
For that reason, to quote my dear teacher Umberto Eco, an entity is any concept or things belonging to the world or among the many "possible worlds" (literary or dream worlds).

Semantic publishing.
Semantic Publishing is the activity of releasing a page on the Internet to which a layer is included, a semantic layer in the form of structured data that explains the page itself. Semantic Publishing helps online search engine, voice assistants, or other intelligent agents comprehend the page's context, significance, and structure, making info retrieval and information integration more efficient.
Semantic Publishing counts on adopting structured data and connecting 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 includes details in an unstructured or improperly structured format (e.g., the department of sub-paragraphs and paragraphs) designed to be comprehended by humans.

Distinctions between a Lexical Search Engine and a Semantic Search Engine.
While a traditional lexical search engine is roughly based on matching keywords, i.e., basic 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 placed within an inquiry or a file, hence achieving a more accurate understanding of the user's search intent in order to create more relevant results.
A Semantic Online search engine owes these capabilities get more info to NLU algorithms, Natural Language Understanding, in addition to the existence of structured information.

Subject Modeling and Material Modeling.
The mapping of the discrete systems of material (Content Modeling) to which I referred can be usefully carried out 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 discuss it or make an ad hoc video) that enables you to develop a site and develop its content for an extensive treatment of a subject 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 original high-quality, thorough content that covers your broad subject.

Entity connecting/ Wikification.
Entity Linking is the procedure of determining entities in a text file and relating these entities to their unique identifiers in a Knowledge 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 helps you structure your material and make it simpler for search engines to understand by extracting the entities in the text that are then wikified.
If you select the Google NLP API, entity connecting will also occur to the corresponding entities in the Google Knowledge Graph.

The schema markup homes for Entity SEO: about, discusses, and sameAs.
Entities can be injected into semantic markup to clearly state that our document is about some specific place, product, brand name, concept, or item.
The schema vocabulary residential or commercial properties that are utilized for Semantic Publishing which act as a bridge between structured data and Entity SEO are the "about," "mentions," and "sameAs" residential or commercial properties.

These properties are as powerful as they are sadly underutilized by SEOs, particularly by those who utilize structured information for the sole function of being able to obtain Abundant Results (FAQs, evaluation stars, product functions, videos, internal website search, etc) developed by Google both to improve the appearance and performance of the SERP but likewise to incentivize the adoption of this standard.
Declare your file's primary topic/entity (websites) with the about residential or commercial property.
Instead, utilize the mentions home to declare secondary topics, even for disambiguation functions.

How to correctly utilize the properties about and points out.
The about residential or commercial property should describe 1-2 entities at most, and these entities need to be present in the H1 title.
References ought to disappear than 3-5, depending on the post's length. As a general guideline, an entity (or sub-topic) ought to be clearly discussed in the markup schema if there is a paragraph, or an adequately considerable part, of the document committed to the entity. Such "mentioned" entities need to also exist in the relevant headline, H2 or later on.

Once you have actually chosen the entities to utilize as the values of the discusses and about homes, The Entities' Swissknife performs 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 Utilize The Entities' Swissknife.
You must enter your TextRazor API keyword or submit 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 offer a complimentary daily "call" charge, which is ample for personal 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.
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 don't surpass my day-to-day quota, take advantage of it!