The Entities' Swissknife: the app that makes your job 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 permits Entity Linking by immediately generating the essential Schema Markup to make explicit 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 "comprehend" your text so you can enhance it until the topics that are most important to you have the best relevance/salience score;
examine your rivals' pages in SERPs to discover possible gaps in your material;
produce the semantic markup in JSON-LD to be injected in the schema of your page to make specific to online search engine what subjects your page has to do with;
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 helpful 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 considers not the keywords but 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, which reveals the creation of its Knowledge Chart.
The famous title "from strings to things" plainly 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 more or less a synonym for "entity.".
In general, entities are things or concepts that can be uniquely recognized, often people, locations, things, and things.
It is easier to comprehend what an entity is by describing Topics, a term Google prefers to utilize in its interactions for a more comprehensive audience.
On closer assessment, subjects are semantically wider than things. In turn, the important things-- the things-- that belong to a topic, and add to defining it, are entities.
To estimate my dear professor Umberto Eco, an entity is any idea or object belonging to the world or one of the lots of "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 form of structured data that describes the page itself. Semantic Publishing assists online search engine, voice assistants, or other intelligent representatives comprehend the page's meaning, context, and structure, making info retrieval and information integration more effective.
Semantic Publishing depends on adopting structured information and connecting the entities covered in a file to the very same entities in various public databases.
As it appears printed on the screen, a web page contains details in an unstructured or badly structured format (e.g., the department of paragraphs and sub-paragraphs) designed to be understood by people.
Differences between a Lexical Search Engine and a Semantic Search Engine.
While a standard lexical search engine is approximately based upon matching keywords, i.e., basic text strings, a Semantic Online search engine can "comprehend"-- or a minimum of attempt to-- the significance of words, their semantic connection, the context in which they are inserted within a query or a file, thus achieving a more precise understanding of the user's search intent in order to create more pertinent outcomes.
A Semantic Online search engine owes these capabilities to NLU algorithms, Natural Language Comprehending, as well as the presence of structured data.
Topic Modeling and Content Modeling.
The mapping of the discrete systems of material (Material Modeling) to which I referred can be usefully carried out in the design phase 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 advertisement hoc video) that allows you to develop a site and develop its content for an extensive treatment of a subject to get topical authority.
Topical Authority can be described as "depth of knowledge" as perceived by search engines. In the eyes of Online search engine, you can become an authoritative source of details concerning that network of (Semantic) entities that define the subject by consistently composing original high-quality, comprehensive content that covers your broad subject.
Entity linking/ Wikification.
Entity Linking is the process of recognizing entities in a text document and relating these entities to their distinct 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 online search engine to understand by drawing out the entities in the text that are then wikified.
Entity linking will also take place to the corresponding entities in the Google Understanding Chart if you select the Google NLP API.
The schema markup residential or commercial properties for Entity SEO: about, mentions, and sameAs.
Entities can be injected into semantic markup to clearly specify that our document has to do with some specific location, item, object, concept, or brand.
The schema vocabulary homes that are utilized for Semantic Publishing and that act as a bridge in between structured data and Entity SEO are the "about," "points out," and "sameAs" properties.
These homes are as powerful as they are regrettably underutilized by SEOs, especially by those who use structured data for the sole function of having the ability to obtain Rich Outcomes (Frequently asked questions, evaluation stars, product functions, videos, internal site search, and so on) developed by Google both to improve the look and functionality of the SERP however also to incentivize the adoption of this requirement.
State your file's main topic/entity (web page) with the about residential or commercial property.
Rather, use the points out home to declare secondary subjects, even for disambiguation purposes.
How to correctly use the residential or commercial properties about and discusses.
The about residential or commercial property ought to describe 1-2 entities at a lot of, and these entities need to be present in the H1 title.
References need to be no more than 3-5, depending upon the article's length. As a general rule, an entity (or sub-topic) more info ought to be explicitly pointed out in the markup schema if there is a paragraph, or an adequately substantial part, of the file dedicated to the entity. Such "discussed" entities ought to also be present in the appropriate heading, H2 or later.
When you have selected the entities to use as the worths of the points out and about homes, The Entities' Swissknife carries out Entity-Linking, through the sameAs residential or commercial property and produces the markup schema to nest into the one you have created for your page.
How to Use The Entities' Swissknife.
You need to enter your TextRazor API keyword or upload the credentials (the JSON file) associated to the Google NLP API.
To get the API secrets, sign up for a complimentary subscription to the TextRazor site or the Google Cloud Console [following these basic instructions]
Both APIs provide a free day-to-day "call" cost, which is sufficient for personal 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.
Upload Google NLP API key as a JSON file-- Studio Makoto Agenzia di Marketing e Comunicazione.
In the current online variation, you do not require to go into any key due to the fact that I chose to allow the usage of my API (secrets are entered as secrets on Streamlit) as long as I do not exceed my daily quota, take advantage of it!