
Semantic field
The Semantic Field is that term or group of words that share one or more features in their meaning. There are many words or lexical units among which we can recognise similar aspects.
We can say that the words mountain, plain, valley and peninsula are part of the semantic field of phrases used to describe geographical features.
It is important to bear in mind that the words that make up a semantic field must have the same grammatical category. For example, those mentioned above are nouns.
The grammatical categories are adjectives, verbs, pronouns, adverbs, adverbs, determiners, prepositions, nouns. As well as conjunctions and interjections and determiners.
Types of semantic fields
The semantic fields can be classified in many ways. Fundamentally, depending on the relationships identified between their constituent elements. We can highlight the following categories:
Closed semantic field
It is one to which new elements can no longer be added, as it forms a complete field in itself. For example: The days of the week, of which there are only seven, or the months of the year, of which there are twelve.
Open semantic field
It is one to which you can always add new terms. For example, computer accessories: camera, keyboard, mouse, flash drive, headphones, etc.
Gradual semantic field
It is the type of field in which the elements imply a scale with its different nuances. For example, moods: enthusiastic, content, happy, cheerful, joyful, jubilant, happy, joyful, happy.
Semantic fields antonyms
They are those formed by words between which oppositional relations are established. For example: happy/sad, peace/war, night/day.
Associative semantic field
It is one that is shaped by the proximity of the reality they refer to. For example, forest, tree, jungle, heath, flora, fauna, wildlife, shade. This type of association tends to be more subjective.
Examples of semantic fields
With the help of the following examples, it will be easier to recognise the semantic field.
Semantic field of animals:
Dog, cat, pigeon, lion, mouse, elephant, giraffe, chimpanzee, puma.
Fruit semantic field
Apple, orange, pear, strawberry, mandarin, melon, watermelon, peach.
Semantic field of flowers
Rbear, sunflower, hydrangea, tulip, dahlia, lily, carnation, cherry blossom, orchid, daisy.

HTML5: Basic Structure and Semantic Elements
HTML5 is a standard that serves as a reference for software that connects to the development of web pages, in different versions. It defines a basic structure and code called HTML for defining the content of a web page.
These are texts, images, videos, games, among others. One of the main advantages of HTML5 is the inclusion of semantic elements, or semantic markings. They help us to define the different divisions of a web page.
In versions prior to HTML5, the div tag used to be used to make the divisions of a web page. But nowadays, it is recommended to use the semantic elements as they clearly describe their purpose.
Semantic elements can clearly describe their importance to the browser and developers. Examples of elements semantics: <form action="">, <table> y <img> clearly define their content.<input type="hidden" name="trp-form-language" value="en"/>
Many existing websites include the following HTML code. <div id = "«nav»">, <div class = "«header»"> o <div tail.
HTML5 offers new semantic elements to define a different part of the web page.
The SEO semantic
Web searches have evolved significantly, searches used to be more general. Whereas now the web is constantly being used to find accurate information.
In other words, we are using a more natural and specific language in the search because we know what we want to find.
This is exactly what has led to the emergence and consolidation of semantic SEO. Which seeks not only to pay attention to the signifier, but also to the semantic, to the meaning of searches. Semantic search is a data search technique in which a query has certain objectives.
Not just finding keywords, but determining the intent and contextual meaning a person is using to search.
In other words, Google no longer only takes into account the keywords you enter in the bar. It also values other factors such as previous search history, physical location, and the type of device through which we access it. Its aim is to provide the best possible results.
To do this, you need more information than keywords. You need to know the context in which it is being inserted in order to know what our interests are.
Positioning with semantic searches
Mainly it is necessary to give meaning to web pages. Let Google know what kind of services are provided to users. For this purpose, it is very useful to use the rich snippets, as they add detailed information about the web pages.
They help to better catalogue the content. In addition, keywords will be of secondary use. Since in the SEO semantically, the most important thing is the content of the article, which must be written in natural language.
This is because users no longer tend to type like robots, but ask the search engine directly. Just as if they were talking to a friend. Something that is going to increase even more with the expansion of voice searches. This means that content must be more adapted to this trend.
The Rich Snippets mentioned above are technically rich snippets in English. These are segments of HTML code with content that express their function within the website.
They are used by systems that interpret the content of web pages, such as search engines. So that they can be better understood and categorised correctly.
Rich Snippets have been around for quite some time. Google makes use of them, although they can go unnoticed. For example, you can see a search result for a recipe, including its photo, rating, votes, time of completion.
And all of this is displayed before accessing the page where the full content is found. It is a letter of introduction to the user within the diversity of results found on the web.
Positioning is obtained when a website contains and is systematically organised with each of the necessary factors.
Importance of Rich Snippets for a website
A site that includes Rich Snippets will be helping the search engine to understand your HTML documents. As well as explaining what certain parts of your content do.
Any factor that helps to better understand a website is accepted by Google. So using them will help positioning. In fact, SEO professionals have been using them for a long time as a technique known as SEO In Page.
A Google search result attracts more attention when it has Rich Snippets. So the website, whatever its position, will have a better chance of standing out from other search results.
However, although using a Rich Snippet does not guarantee that Google will show it, ranking the page better. However, it is known that the ranking algorithm takes it into account when sorting its results.
Since 2013, Google's algorithm has taken these pieces of code into account, so making use of them is essential. It allows users to find answers more quickly and easily.
Semantic Web
The Semantic Web is a set of activities developed within the World Wide Web (WWW) environment. For develop data publishing technologies that are more easily readable by software applications.
These have a unique address called an Url that identifies the location of the server where the web page is hosted. Web programming languages were originally designed to make electronic documents human-readable.
However, this language was not able to provide information to the machine about the meanings and contexts of the terms. Because of this, and because of the sheer volume of existing pages, even when using web search engines, time is wasted browsing.
The semantic web has been driven to bring information together in a way that search engines can understand. It goes beyond simply placing documents in a list.
Similarly, a search engine is an information system that searches for electronic documents stored in a database. When a user enters one or more search terms, the search engine generates a list of web pages. These will include those keywords, according to an algorithm designed to rank and prioritise them.
By giving the web more meaning, therefore more semantics, solutions to common problems can be obtained. These problems arise in the search for information thanks to the use of a common structure.
In this way, it is possible to share, process and transfer information in a simple way. This extended, meaning-based web relies on universal languages that solve certain problems.
The latter are caused by a web lacking semantics. In which accessing information becomes a difficult and frustrating task.
