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 permits 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 help you to:
understand how NLU (Natural Language Comprehending) algorithms "understand" your text so you can optimize it until the subjects that are crucial to you have the very best relevance/salience score;
analyze your competitors' pages in SERPs to find possible spaces in your content;
generate 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 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 adequate confidence the entities that are relevant to you and appoint them the right salience score.
It may be helpful to clarify what is suggested 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 published in the official Google Blog site, which announces the creation of its Understanding Graph.
The popular 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 state that "things" is more or less a synonym for "entity.".
In general, entities are things or ideas that can be distinctively determined, often individuals, things, things, and places.
It is much easier to understand what an entity is by describing Subjects, 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 things-- the important things-- that belong to a subject, and contribute to specifying it, are entities.
Therefore, to quote my dear teacher Umberto Eco, an entity is any idea or things belonging to the world or among the numerous "possible worlds" (literary or dream 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 form of structured information that describes the page itself. Semantic Publishing helps online search engine, voice assistants, or other intelligent representatives understand the page's meaning, context, and structure, making details retrieval and data integration more effective.
Semantic Publishing relies on adopting structured information and linking the entities covered in a document to the very same entities in various public databases.
As it appears printed on the screen, a websites consists of information in a disorganized or inadequately structured format (e.g., the division of sub-paragraphs and paragraphs) created to be understood by people.
Distinctions 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 significance of words, their semantic correlation, the context in which they are inserted within a query or a document, therefore attaining a more exact understanding of the user's search intent in order to generate more appropriate outcomes.
A Semantic Online search engine owes these abilities to NLU algorithms, Natural Language Understanding, as well as the presence of structured information.
Subject Modeling and Material Modeling.
The mapping of the discrete systems of content (Content Modeling) to which I referred can be usefully carried out in the design phase and can be associated with the map of subjects dealt with or dealt with (Topic Modeling) and to the structured data that expresses both.
It is a fascinating practice (let me know on Twitter or LinkedIn if you would like me to discuss it or make an advertisement hoc video) that enables you to create a website and establish its material for an extensive treatment of a subject to acquire topical authority.
Topical Authority can be described as "depth of know-how" as viewed by search engines. In the eyes of Online search engine, you can become an authoritative source of information concerning that network of (Semantic) entities that specify the subject by consistently composing initial high-quality, extensive content that covers your broad topic.
Entity linking/ Wikification.
Entity Linking is the procedure of determining entities in a text document and relating these entities to their distinct 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 occurs.
The Entities' Swissknife helps you structure your material and make it simpler for search engines to comprehend by extracting the entities in the text that are then wikified.
If you choose the Google NLP API, entity linking will also occur to the corresponding entities in the Google Understanding Graph.
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 is about some specific location, item, brand name, idea, or object.
The schema vocabulary residential or commercial properties that are used for Semantic Publishing and that function as a bridge in between structured data and Entity SEO are the "about," "points out," and "sameAs" homes.
These residential or commercial properties are as powerful as they are unfortunately underutilized by SEOs, especially by those who utilize structured information for the sole purpose of having the ability to get Abundant Results (Frequently asked questions, evaluation stars, product functions, videos, internal site search, etc) developed by Google both to improve the appearance and performance of the SERP but likewise to incentivize the adoption of this requirement.
Declare your file's primary topic/entity (websites) with the about residential or commercial property.
Instead, utilize the discusses property to state secondary topics, even for disambiguation functions.
How to correctly utilize the residential or commercial properties about and mentions.
The about home ought to describe 1-2 entities at a lot of, and these entities should exist in the H1 title.
Mentions must be no more than 3-5, depending upon the article's length. As a basic rule, an entity (or sub-topic) needs to be explicitly pointed out in the markup schema if there is a paragraph, or a sufficiently substantial portion, of the file devoted to the entity. Such "pointed out" entities should likewise be present in the appropriate headline, H2 or later.
As soon as you have picked the entities to use as the worths of the mentions and about properties, The Entities' Swissknife performs Entity-Linking, through the sameAs property and creates the markup schema to nest into the one you have developed for your page.
How to Utilize The Entities' Swissknife.
You need to enter your TextRazor read more 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 website or the Google Cloud Console [following these basic instructions]
Both APIs offer a complimentary daily "call" charge, which is ample for personal usage.
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 key as a JSON file-- Studio Makoto Agenzia di Marketing e Comunicazione.
In the existing online version, you don't require to get in any key since I chose to permit the use of my API (keys are gone into as tricks on Streamlit) as long as I do not exceed my everyday quota, make the most of it!