WO2023217321A1 - System for combining data with a memory unit of a computer - Google Patents

Abstract

The invention relates to a system with an associated method for combining data with a memory unit of a computer, wherein the memory unit comprises a knowledge platform. At least one parameter set is stored on the knowledge platform, which represents a correctness value of a real entity. At least one other parameter set is stored on the knowledge platform, which represents at least one real entity. On the knowledge platform, a parameter set representing a correctness value is combined with at least one other parameter set representing at least one real entity. The knowledge platform comprises a first unit which generates information displaying the correctness value of the real entity with respect to the real entity (content engine). The knowledge platform comprises a second unit which generates information which is used to evaluate other real entities with their own correctness value by the real entity (quality engine). The knowledge platform comprises a third unit which generates information which is used for verifying the real entity with evaluation units by at least one other real entity with their own correctness value (growth engine). On the knowledge platform, stored parameter sets and/or other parameter sets and/or information are supplied to a search engine.

Description

System for merging data with a storage device on a computer Description

The invention relates to a system for merging data with a storage device of a computer according to the features of the preamble of claim 1. The invention further relates to a method for merging data with the system according to the preamble of claim 11.

Inadequacies of the state of the art

Well-known search engines want to find out which websites provide the best content in relation to the respective search term. These websites are then rewarded with a high ranking.

Well-known search engines work with search algorithms. The search algorithms are mathematically formulated solutions that are aimed at previously defined tasks. Each search algorithm consists of a finite number of individual solution steps. In other words: the search algorithms try to find out what purposes and/or tasks a website serves. In this way, the search algorithm is able to assess the previous trustworthiness of a website. High-quality links that are visible to the user and which could serve to assess the content and/or the relevance of the individual websites are not included in the websites of most well-known search engines.

The invention understands a user to mean the human user of the search engine. The term user is used below.

Well-known search engines therefore set themselves the task of finding out which search content gives the search engine user the best answers.

The search engine uses at least one algorithm to predict the user's satisfaction with the respective search result. The most satisfactory results appear at the top of the search results. In order to be able to make such a prediction, the algorithm tries to mathematically calculate the parameters that contribute to the user's satisfaction. The search engine wants to find out whether the user is satisfied with the quality of the search result so that the user accesses this search engine again the next time they search.

These mathematical parameters are, among other things, structural in nature, which evaluate a website based on structural elements. These structural elements are not direct indicators of quality, so very high quality content that was not created according to the criteria desired by the bot being examined can have a worse ranking than the content that provides the worse answer for the keyword, but the structural one Meet the bot's requirements.

Large search engines have such great market power that SEO agencies primarily focus on compliance with the technical standards of these search engines. Therefore, in some respects compliance with formalities is more important than the quality of the content. This can be seen from the so-called "schemas", which have the chance to be displayed at the top of the search results through structured data. This structured data may be less qualified in content than other content, but it will still be displayed higher up.

The actual quality of the content is therefore no guarantee that it will be displayed at the top of the search engines. This means that a separate market has been established that follows its own technical rules and is largely controlled by the major search engines.

The goal of providing the user with the most satisfactory content possible is not necessarily achieved. The search engines and users therefore need more indicators to be able to assess the quality of content.

A distinction is made between open and closed search engines.

Closed search engines are those whose search results only point to results from your own site. The closed search engines include, for example, LinkedIn, Xing, Udemy, Upwork, Wikipedia. . It goes without saying that there are other closed search engines.

With many closed search engines, the search results are only visible to the user after a previous login or registration. The Login or registration enables the closed search engine to store different payment functions. With such systems, payment is made either against payment or only against the provision of user data. Especially with search systems such as Wikipedia, the responsible authors and thus the entities underlying the result can only be identified with increased effort.

Open search engines don’t just list their own content. The open search engines refer to a wide variety of sources on the Internet in their search results. The open search engines preferably include, but are not limited to, Google, Bing, Yahoo, Baidu, Brave, Duckduckgo.

It goes without saying that other open search engines can also be included.

Open search engines often do not provide the user with an expert verification process. Users cannot therefore be sure whether the content comes from a person who specializes in the topic.

In many cases, experts cannot distinguish themselves as authors on open search engines. In many cases, search orders cannot be billed individually.

Open search engines often have the disadvantage that much of the information stored on the Internet cannot be attributed to the respective author. Likewise, authorship on open search engines can often only be determined after lengthy searches.

Closed search engines are often so limited in terms of their results that the search engines can only associate very specific queries with the associated authorship. For the majority of Internet searches, they are therefore useless in determining authorship.

Closed search engines cannot be combined with open search engines.

Closed search engines often provide payment systems that are based on being able to unlock additional content and communications. Networking with other search engines should be possible intentionally left out. A connected search with another search engine is therefore not possible.

Receiving or giving recommendations from or to other experts is not permitted by many well-known search engines.

With many well-known search engines, it is not possible to tell whether the text on the website being researched comes from an entity (e.g. a real person) who is in a specific competence environment. The concept of entity is discussed in more detail below.

The individual search engines often do not allow a clear demarcation of which entities are given. In addition, the relationship between the entities often cannot be clearly clarified.

The invention deliberately keeps the term search engine very general. For the purposes of the invention, the term search engine includes, for example, search engines of type A, such as Google, Bing and Yahoo, etc. Such search engines rely on the entire Internet when compiling the search results.

Type B search engines include, for example, Linkedln, Wikipedia, Udemy, Upwork and Xing. Type B search engines only list limited results for the search query. Type B search engines therefore primarily show results from your own hemisphere.

The naming of a supposedly associated author on a website cannot be viewed as a reliable indication of the origin and/or quality of the respective website. The naming of the author may be asserted, exaggerated or even untrue.

The publication of an article in a specialist magazine is seen by the user as a sign of the reliability of the content of a specialist article. From the naming of an author in connection with the specialist article, the reader (user) concludes that the named author is a person who has a certain level of specialist knowledge in the subject area at hand.

Scientific publications make the associated authorship understandable. However, such scientific publications cannot be assessed by a layperson or by a search engine in terms of the quality of the content of the specialist article. Also the Scientific publications lack satisfactory parameters that allow an adequate assessment.

Recognizable indicators that prove that the author is embedded in a qualified network of experts are often not available.

The search engines known from the prior art do not offer any traceable verification of the information source. A further qualification of the information as information from an expert is not possible.

The trustworthiness and/or truthfulness of the source of information is difficult to assess in the search engine.

Other search systems are designed as closed systems. Neither the expertise of the authors nor the associated content can be verified. In a closed search system, it is often difficult to assign specialist competence.

Websites made accessible by companies often do not have a structure that is optimized in relation to the content of the website (content). The company's websites do not offer a sufficient number of quality links and/or information on the competence basis on which this link is made.

The competence that the entity has is also referred to as the competence that is assigned to the respective entity (competence assignment).

By assigning competence to an entity (El) from other entities (E2, E3, E4), the entity (El) collects assessment units for the qualification. These evaluation units, which benefit the entity (El), are high or low depending on the assignment of competencies by the entity (El) to the second entity (E2, E3, E4). The higher the competence assignment to the second entity (E2, E3, E4), the higher the assignment to the first entity (El).

It goes without saying that the expert and/or the entity within the scope of the invention can receive one evaluation unit and/or several evaluation units for different reasons and/or for different occasions. The entity (El) can select at least one authority assignment that the entity (El) wants to make public. The entity (El) can also privatize other already published competence assignments and/or competence areas, i.e. make them invisible.

In the following the terms are published and used visibly as corresponding terms.

This approach is designed as a so-called democratic counter-model to the so-called Chinese social scoring model. The democratic counter-model leaves it to the individual (entity El) to decide how one (entity El) is seen by other entities (E2, E3, E4) and with which assignments one would like to collect so-called evaluation units in public or not.

Specialist portals often provide very good search results in their respective fields. However, the specialist portals are not able to provide links beyond the respective specialist topic. Search requests that go beyond the respective specialist topic cannot be processed using the specialist portal.

Other so-called SEO, for the provision of at least one SEO tool or personal brand service provider as well as shop systems for knowledge content and brokerage portals, often offer a range of activities that is limited in terms of their area of responsibility and/or in terms of their functional area. SEO agencies are agencies that optimize search engine rankings with their services.

The invention understands SEO tools to be programs that support website operators and SEO agencies with search engine optimization. The SEO tools are preferably, but not exclusively, used to analyze content, keywords, backlinks and/or an entire website with regard to its ranking and/or its ranking potential in the respective search engine.

The expertise of a company and/or an individual can be difficult to market in many search engines due to increasing SEO requirements and/or high marketing costs.

A clear positioning of the respective search term, especially in social media, is often not clear or its implementation is very complex. It is often not possible to clearly assign the authorship of a single or multiple authors to an article and/or a website.

Stringent URL structures and/or URL bindings are often not available. With many well-known search engines, the published articles and/or the respective websites are not assigned to one or more authors. In addition, the published articles often do not follow a URL binding and/or a stringent URL structure.

In many cases, bots are excluded from checking high-quality information through SMS verification and/or email verification. The invention understands a so-called bot to be a computer program that largely automatically processes repetitive tasks. The bot does not rely on interaction with a human user. The bot often cannot recognize which entity has which competence and how likely it is.

Existing, open mentions of names in relation to an entity are insufficient sources of information for a bot.

For example, company websites or specialist magazines show the bot names of authors. However, the names of these authors are not presented as part of an expert network. In other words, the bot cannot determine whether the names mentioned are random names. The relationship between the names mentioned and the qualitative relationship between the names can be difficult to assess with the well-known search engines.

In those cases in which the bot can define the entity of a person, many search engines lack qualified information as to whether and to what extent the person can be attributed specialist expertise. However, this information is important for the user to be able to judge how trustworthy an entity's statement is.

According to the invention, an entity can also be a brand. Behind the brand lies trust in the brand or in the owner of the brand behind it. The brand also guarantees that the information on the website is truthful. The large number of domains that are at the top of the respective ranking of a well-known search engine in relation to a subject area make it clear that the respective brands are assigned specific specialist expertise by the respective search engine. Well-known search engines often favor large brands that have built up a certain reputation with a lot of content and trustworthy information for a specialist area. An individual can rarely generate sufficient visibility in such a search engine.

Task of the invention

The invention is therefore based on the object of providing a search engine that avoids the shortcomings of known systems.

Solution to the task

The tasks are solved by a system for merging data with a storage device of a computer according to the features of claim 1. The tasks are further solved by a method for merging data with the system according to the features of claim 11.

The invention understands the storage device to be a data memory of a computer. The storage device is used to store data during data processing. The storage device comprises at least one memory cell and/or at least one main memory and/or at least one fast memory and/or at least one register.

The invention understands the computer to preferably, but not exclusively, mean a computer with a hardware architecture. The hardware architecture includes an arithmetic unit and/or a control unit and/or a bus unit and/or the storage unit and/or the input/output units.

entity

The invention includes at least one digital entity. Competence is assigned to the digital entity.

The invention understands an entity to be a clearly definable unit that has certain specifics. Preferably, but not exclusively, the digital entity is a natural person or a legal entity

Person. Entities in the form of natural persons can be employed professionals. But it can also mean independent experts. Of course, the entity can also be a small or medium-sized or large company from any professional group.

By assigning one entity to another entity, it can be seen that the entity can actually be defined, i.e. it can be seen that the entity is, for example, an existing person. Preferably the real entity is an expert.

It goes without saying that the entity can also be a brand.

An entity can be a specific artificial intelligence. Alternatively, the entity may be a definable computer program product. The entity can also be a definable organization.

An entity in the sense of the invention can learn independently from its own experiences.

The entity can be both analog and digital. The entity can be a brand.

By way of example, but not exclusively, it is assumed that the digital entity represents a natural person.

It is often difficult for well-known search engines to recognize what an entity is, where it begins and where it ends. It is also difficult to see which properties are assigned to the entity, especially the digital entity.

The invention assigns at least one specific subject assignment to the digital entity (person). By the term specialist assignment, the invention means the specialist knowledge or expert knowledge that is assigned to the respective entity.

The information about the assignment of expert knowledge to the analog or digital entity is extremely valuable for the user. For the user, a natural person appears more trustworthy as a source of information than an information source that could also be created by a bot or artificial intelligence (AI). The content that is created via an artificial intelligence or a bot is assigned to the respective artificial intelligence or the respective bot.

The invention proves to be extremely advantageous because websites that can be accessed by search systems can have at least one digital entity. Many such websites can be assigned to common social networks and/or professional networks.

The invention connects the entity, preferably a person, to the professional network in which the entity is embedded. The embedding of the entity (person) in the network, which includes other people from at least one same specialist area, increases the user's security that the article and/or the website researched by the user is relevant to the searched topic and/or a has optimal truth content.

The invention assumes that people with a high level of professional competence (experts) are more likely to be embedded in a network in which there are other experts on the same topic than people who are connected to each other about other topics. It further assumes that the expertise of a person (entity) who is strongly networked in their own specialist area is comparatively high.

Against this background, the invention forms at least one group in which at least two experts come together.

The group can be open to the search engine bot.

Likewise, the affiliation of experts (entities) to at least one group and/or to individual specialist areas shows the expert's interest in contacts and networks in the respective specialist area.

The embedding of the entity in the network can be linked to at least one so-called backlink. Preferably, but not exclusively, the backlink is a recommendation and/or a tip from other users to visit a specific link or website.

In this way, the user can see whether and how high quality the researched link is. The more qualified links the respective websites contain, and the more meaningful the links are due to them The link context and the associated hyperlink label are, the more precisely the user can see whether the researched text is of high quality.

However, the invention provides that the search systems can address websites that can be both closed and open systems. Closed systems in particular do not allow for a clear allocation of properties and boundaries. By assigning competencies to a closed system, these systems can gain credibility and visibility.

According to the invention, the trustworthiness of a source can be identified and/or evaluated by the user. To do this, the invention provides the user with information that assigns a certain competence to an entity.

Assignment of competence to an entity

The assignment of competence to the entity is understandable for both the search engine and the user.

The individual competencies can be summarized into competency fields. Each field of competence can be described by a specialist topic or a professional field. In the following we will speak generally about competence.

The entity can be designed as a digital entity.

The assignment of at least one competence to the respective analog or digital entity represents a comprehensible connection between people and competence. The connection is comprehensible for the bot of the respective search engine and also for the user.

The invention understands the assignment of competence to the respective entity to be the connection between the individual person (entity) and his or her competence. The connection between the natural person (entity) and his competence is established on all technically and humanly possible levels.

This assignment of competence to the entity occurs through predetermined facts. The predetermined facts will be discussed in detail below. The assignment of competence to the respective entity can be further strengthened with each further assignment of competence.

Each competence assignment is designed in such a way that it can be identified by the bot of the respective search engine. The identification of the assignment of competence can preferably, but not exclusively, take place through a link assignment and/or through a structure and/or wording.

The invention assigns at least one competence to an entity. This creates a so-called identity creator. The identity of the expert (entity) can be highlighted through the competence of a company's staff and/or through a brand and/or through a product and/or through a service of the company. In this way, so-called social journalism can be carried out at the same time.

The invention understands the term social journalism to mean that entities, preferably natural persons with high competence in a specialist area, share their available expert knowledge. In this way, the knowledge available and visible to the user achieves a high quality and is constantly growing. The expert knowledge is preferably visible and accessible to the public, preferably to the user, via the search engine.

The invention thus contributes to increasing sales and increasing the level of awareness of the company. The invention therefore proves to be extremely advantageous.

A knowledge platform is created that the user can access, especially via well-known search engines.

The knowledge platform is discussed in detail below.

Entity in the form of the expert and expert personas

The respective expert receives an incentive to share his knowledge with the users (general public). The incentive may be in the form of money and/or reputation and/or a sense of community.

The invention provides the expert with a system with which the expert can use his knowledge of an article and/or a website and/or an understandable content that is understandable, in particular for the user. can put together. Experts need an environment in which they are safe: safe from being defamed; secure that their statements will not be manipulated; and safe from being surrounded by fake experts.

The expert can write the website and/or related article using the storytelling method. The storytelling method is based on a narrative structure. The storytelling method can increase the time the user spends on the associated website. The user's attention can also be increased.

Most search engines do not have so-called storytelling structures. The storytelling structure prepares information or facts as follows: A protagonist (human, abstract or non-human) pursues a goal. Reaching the goal is prevented by antagonistic forces. The storytelling structure now allows content to be emotionalized and/or individualized. The relevance of content can be increased for the user. The knowledge platform includes a display function with which the expert can display the research results. The knowledge platform also has a positioning function (positioning tool) with which the expert can position the website he has created compared to other experts. The expert can communicate his website to other experts and/or users via a brokerage function of the knowledge platform and/or sell it to experts or users via a sales function of the knowledge platform.

By way of example, but in no way exclusively, the expert may include expert personas. The invention understands the term persona to mean a concrete profile of a specific expert. The specific expert is assigned a realistic biography as well as individual characteristics, such as age, gender, profession and other personal characteristics.

In this way, you get very close to the customer you want to address, without having to limit yourself to individual, random representatives of the target group. A persona not only incorporates individual examples, but also information from a large database. The expert personas are divided into employees, self-employed people and companies.

Here the employee shapes his career and is selected for his core competence.

A so-called “selfless employee” is an employee who conveys his knowledge. He receives additional appreciation for passing on his expert knowledge.

A so-called “Young High Potential” shapes his career early on. He builds up contacts and is advised by a mentor. In this way, the Young High Potential is well prepared for the start of the professional world.

The so-called “employed specialist” shares his knowledge with others. He receives further appreciation for his expertise. He is often found by headhunters.

The so-called “employed performer” wants to expand his career. He can present successes and sets himself apart from others.

The self-employed person wants to rank better in the search engine and build a reputation. He implements a digital distribution channel in order to attract additional customers.

The “professor and/or public figure” remains in the public eye. In doing so, he secures his reputation.

The so-called “solo self-employed person” creates new customer contacts by making direct contact. He generates his sales through his own expertise.

The so-called “salesperson” generates deals. He sets automated processes in motion, thereby building up additional reputation.

The so-called “senior self-employed person” secures his reputation. He is a high performer and speaks on an equal footing with the best.

The “company” shows appreciation for its employees. The company uses its employees as communication tools. The so-called “book publisher” markets its authors and/or its books. It creates and increases the visibility of non-fiction books that have already been published.

The so-called “association and/or community” promotes and/or attracts new members. The club and/or community communicates its respective brand.

The so-called “medium-sized company” optimizes its SEO tools. The invention understands SEO tools to be programs that support website operators and SEO agencies with search engine optimization.

The so-called “large company” showcases the skills of its own employees and uses modern performance tools.

Entity in the form of the user

The invention provides the user with a system with which the user can find the knowledge of the experts, preferably with the help of a search engine.

The invention assigns competencies to the expert so that the user can recognize that it is knowledge that comes from an expert. In this way, the user can assess the quality of the expert knowledge they have researched. He can also assess the quality of the link and/or the website and/or the content he has researched. The user can also get an idea of the qualifications of the expert who is responsible for the content he (user) researched.

The knowledge platform includes a search function with which the user can carry out his research. The knowledge platform also has a verification function with which the user can check the quality of the website and/or the associated content.

There is also an in-depth function on the knowledge platform, which the user can use to deepen their research results. In addition, the knowledge platform includes a completion function through which the user can complete, save and further manage their search.

The knowledge platform has a database. For example, websites and/or associated content and/or search requests as well as bounce rates and/or the associated links and interactions are measured in the database. The invention understands the bounce rate to be the percentage of visits to a website in which the user only visits a single website.

The knowledge platform compares the creation of the websites and/or the associated content with the latest data. The data is continuously kept up to date.

The knowledge platform is structured in such a way that the expert can concentrate on his know-how and the skills assigned to him.

The knowledge platform directs remaining search requests to other areas of the knowledge platform for further processing, preferably via questioning techniques and/or coaching processes.

The content stored on the knowledge platform can be updated. The content is constantly being expanded and networked with one another.

The quality of the content stored on the knowledge platform can be checked. Defective and/or incorrect content can be made invisible. Content that has better quality is given more visibility.

Facts for assigning authority to the entity

The assignment of competence to the respective entity is carried out in accordance with the invention by at least one of the facts listed below:

Clear attribution of authorship to an author. Clear assignment of a clearly defined author community to an article and/or a URL.

The invention performs backward tracking of the recommendation chain. There may be websites and/or content that cannot be assigned to a single author and/or a community of several authors (authorship) and/or a network of experts (expert network). Such websites and/or content may be hidden or deleted by the respective search engine. This prevents the search engines from researching a website and/or content whose quality and/or

Technical relevance is not due to an assignment to a single author and/or to a community of several authors (authorship) and/or to a network consisting of experts (expert network).

In addition and/or as an alternative to the backward tracking of the recommendation chain, the article and/or the website can be verified through SMS verification and/or email verification.

The assignment of competence to the entity can alternatively or additionally be carried out through formal verification by a separate verification body. The formal verification by a separate verification body is preferably carried out with the help of objectively verifiable information about a person. Verifiable information about a person can preferably, but not exclusively, be provided through proof of a university degree and/or through proof of professional experience.

The assignment of competence to the entity can alternatively or additionally be done through proof of the author's own competence.

Proof of the author's own competence can be provided by answering questions professionally. Answering questions to the author, preferably an expert on the topic being researched, can be in an organized form. The answer can alternatively be a short answer or a long answer. The answer can be in the form of an opinion from the expert. To answer the question, facts can be provided by the expert and/or the author. Alternatively, the answer can be based on your own experience or through tips and tricks. The author and/or the expert can cite sources to answer the questions. Possible conflicts of interest can be listed in connection with the citation. To answer the questions, the author and/or the expert can provide further counter questions and links. It goes without saying that answering questions to the author or the expert can also take place in the form of a question-answer structure.

The competence can be checked by evaluating the answer given by the author and/or the expert by technically experienced people in the same area of competence and/or the same subject area. The assessment can also be carried out in a weaker form by experts in other subject areas.

Active assignment of at least one competency According to the invention, the competence is assigned to the respective entity through an active competence assignment. It goes without saying that the assignment of competence can also be withdrawn.

The active assignment of competences takes place as a direct assignment of competences to the respective entity. The direct assignment of competences proves to be extremely advantageous, as the user can better assess the trustworthiness of the website being researched or the associated answer to his question based on the assignment of competences. The direct assignment of competence also proves to be extremely advantageous for the bots of the respective search engines, as the search engines have additional parameters available to assess the trustworthiness and competence of the entity.

In this way, so-called social validation can arise, which is important in human interaction. Social validation is often used as a parameter by bots.

The active assignment of authority to the entity occurs preferably, but not exclusively, through a recommendation and/or through fan pages. Alternatively, the active assignment of competence can also take place through a competence confirmation. The confirmation of competence can be done indirectly by confirming the content of an expert by other confirming experts.

The invention sees the recommendation as an essential indicator that a real person knows another real person. The recommendation further expresses that the real person has a professional appreciation of the second real person. One real person advocates for the righteousness of the other real person through recommendation. The guarantee of the real person can be further strengthened by the existence of a so-called “digital guarantee”. The digital guarantee can even be linked to a promise of payment if the assignment of authority was demonstrably incorrect.

Preferably, but not exclusively, a fan page is a simple means of ensuring digital traceability of how many people positively rate a person's competence. Crucial to the verifiability of the real person's competence is the verifiability of who the respective fan is and whether it is a real person. Fans can therefore only be clearly defined with their own entity be people. The respective fan must either already be registered or they must be recognizable as an entity by registering as a fan.

The verifiability of whether the fan actually exists as a real person can be ensured by ensuring that every fan can be verified via a country's national cell phone SMS. In addition, it must be ensured that there are no duplicates of cell phone numbers that are associated with other names of real people.

Additionally or alternatively, the respective fan is confirmed by issuing a unique identification number (ID) from an expert. The identification number can be compared with all other available data for the real person. In this way, it can be ruled out that cell phone numbers are assigned twice. It can also be ruled out that the real person (fan) does not actually exist (fake). Thanks to the so-called recommendation structure, if a fake is discovered later, it can be quickly and easily found out which registrations or which networks were created by the respective fake account. In this way, incorrect assignments can be efficiently eliminated.

According to the invention, the competence of an expert is confirmed by assigning competence to an expert from the same subject area. In a weaker form, the expert's competence can also be confirmed by one or more competence assignments from an expert from another subject area.

The person who makes a recommendation receives at least one so-called evaluation unit. In the following, however, we will generally speak of valuation units. The real person whose competence is confirmed by the other real person also receives at least one evaluation unit.

The number of valuation units that a real person owns determines the trust value of the respective person (entity trust value). The trust value can be increased through a general confirmation of the content, as well as through an expressly positive assessment of the content of the respective entity by other experts. (Content Trust)

If a real person recommends another real person, but the real person recommending does not have the stated competence, The real person making the recommendation must expect a devaluation of the digital trust placed in themselves. Digital trust can be assessed with a digital trust value. The higher the entity trust value that the recommender has, the higher the entity trust value of the recommended person.

The confirmation of the competence of the individual real person can be designed as a so-called networking cluster. The networking cluster may be displayed on an answer site and/or on the expert's expert profile and/or on an expert's verified external website. The networking cluster can be recognized by the search engine bot.

The expert's external website can be integrated via an API interface. Alternatively, the integration can also take place by managing part of a website or by managing the expert's entire website.

By including the evaluated real person (expert) in the networking cluster, the evaluating expert explicitly confirms that the evaluated person (expert) has this competence in question. The assignment of competences can be made explicitly in an invitation. The invitation can only contain confirmation of the entity as a real person. This can be seen as a further allocation advantage over other networks, but it must be valued less than a specific assignment of competences.

In the case that the assignment is made to the expert in the same field, a quality in the assignment also arises. In addition, the respective expert receives qualitative confirmation of his expert status from experts in the same field of expertise. Experts in other areas of expertise can assign competencies to the expert at a significantly lower level.

According to the invention, clustered answer blocks of a question can be answered individually. The content of the respective expert is available in clusters. The clustered content is dynamically compiled when a user has requested a search. The clustered content can be put together differently depending on the user's question. The questions can be answered in a freely chosen order according to the basic answer. The questions answered in the freely chosen order can each be displayed together as a common answer.

The advantage is that it increases the likelihood that the expert can answer the questions in increasingly shorter blocks of time. Over time, the expert will gradually build up and design the answers to better quality, with the initial hurdle for the first answer lowering. Even a very short short answer can be published, and the short answer can then be expanded step by step.

Increasing the truthfulness of the researched website

The degree of probability of the accuracy of a researched website is higher if the number of possible answers that can be unlocked per person (expert) is limited.

Due to the small number of possible answers that the expert is entitled to in relation to the question, the answer is processed in more detail by the expert, which has a positive effect on the quality of the answer and thus also on the ranking.

The smaller the number of answers that can be activated by a real person (expert) to a question, the higher the probability that the answering person (expert) will adequately maintain and gradually expand their individual, published answers.

Limiting the number of possible answers that the person (expert) is allowed to give in a given case increases the average quality of the answer given. In addition, the person (expert) can increase their own content trust value in each individual case (question/answer). The trust value gives the search engine an additional indicator of the quality of the content. In addition, it increases the likelihood of a high ranking. By increasing their own trust value, the person (expert) can gain an advance of trust in the search engine.

The limited number of possible answers per question increases the expert's concentration on the question. The expert is more likely to deal with the topics that he wants to use professionally and/or that he has mastered.

Limiting the number of possible answers also prevents individuals from blocking entire topic areas.

By limiting the number of possible answers that an expert can provide, the average quality of the answers and overall trust in the respective website increases. This leads to a leap of faith in search engines, even for new content from a new expert with a comparatively higher ranking.

In this way, more experts have the opportunity to comment on a topic in order to answer relevant questions. In this way, the variety of different opinions and the variety of different perspectives increases.

By way of example, but not exclusively, the invention assumes that the expert is only allowed to give three answers. The expert must first earn the opportunity to provide further answers. One criterion for this can be the quality of the published content. Another criterion can be a confirmation and/or an invitation to further entities.

Tagging

The invention understands the term keywording to mean enriching a digital data set with metadata.

The metadata is in the form of keywords. With the help of the metadata, the researched text and/or the website and/or link can be classified. With the help of keywording, the search engine user can get to the desired research results more quickly. The keywording can be done manually or automatically.

According to the invention, the keywording and/or linking of a website and/or a text can be created by the expert himself. In this way, a larger number of links and/or keywords can be created.

The quality of the link can be monitored using SEO tools. In this context, the invention provides that the associated, The so-called backlink structure must be as large, specific and of good quality as possible.

The SEO tools are programs that website operators and/or SEO agencies primarily use to optimize content for search engines. The SEO tools can be used to analyze content on a website, keywords, backlinks and/or an entire website. They are used during the analysis to create a ranking and/or the ranking potential in the respective search engine.

The content is being revised to improve it. Revised content receives additional rating units.

For publishing additional content, the expert receives additional rating units. Recommendations of content by other entities increase the visibility of the recommended expert and/or a piece of content. The recommendations preferably come from other experts in the same field of expertise. The recommendations can also come from experts in other areas of expertise or from entities registered at a lower level. In this way, the content stored on the knowledge platform is continuously checked against each other.

So-called visibility tools are removed from poor content.

High-quality content receives a higher ranking and is displayed more and/or with priority.

The invention rewards content stored on the knowledge platform that is good for the reputation of the associated expert and/or for the reputation of the knowledge platform.

The invention also preferably provides automated processes that make the respective content more attractive for the respective search engine. In this way, the quality and/or visibility of the respective expert and/or the content that the expert has published can be increased.

With the system according to the invention, the experts support each other; At the same time, they increase the pressure on the quality of the published content.

A special reward for the expert is a recommendation from another expert. The visibility of the expert with his Competencies and/or the visibility of the article he publishes helps to grow and promote the network of experts.

The ranking of a well-known search engine is based on a ranking list. The position of the website in the respective ranking depends on the quality of the content. The respective ranking, however, is not dependent on the quantity of websites and/or on the quantity of content on the websites of the respective expert.

The Website and/or the Website Content may include long answers and short summaries. It may also contain images and graphics. The website may contain a list of the best for a subject area. The website may include a reference. The website may link to other websites and/or contain tips and tricks. The Website may also verify or recommend the websites and/or content of other experts. Keywords can be created and/or revised through the websites. The websites with the content can be on the knowledge platform itself or integrated into another website. For the second case, there is a separate feedback to the platform, which confirms that the content comes from the knowledge platform or has been approved by it.

Experts in one area can see how advanced other experts' questions are and try to get above the other's level. This can only be done by increasing quality, not quantity. In this respect, there is competition between the experts.

The links can form systematized clusters and/or systematized networks. The systematized clusters and/or the systematized networks are recognized as such by a bot. Further conclusions can be drawn from the structure and depth of the systematized clusters and/or the systematized networks.

The invention provides that entire categories of keywords and/or links as well as associated category pages are created by the expert himself. With the help of the categories, one expert provides the other expert with additional selection options when operating the search engine.

The invention gives the user the opportunity to further increase a specific keyword assignment using so-called tags. Assigning a tag does not create a new category. However, assigning the tag makes the content of a text and/or a website discoverable again in the future. The day is provided to the bot as a selection criterion. The day can be listed using the search function.

The greater the interconnection of a piece of content, preferably a website or a link, with other content on the same keyword, the more likely it is that the website or the link is an article that is relevant to the user's search relevance is.

By confirming the existence of a real person by another real person, that real person is identified as an entity. When keywording occurs, the density of the keywording and the quality of the keywording are a growing indication of the competence of an entity on a topic.

The user sees a strong indication in the density of the keywording as well as in the quality of the respective keywording that the entity being researched has a high level of expertise on a specific topic.

Verification of the quality of the expert's statement

The invention provides for a mutual evaluation of the mutual statements by the respective entities.

The statement of one entity (real person; expert) evaluates the statement of another entity (real person; expert).

The mutual evaluation of the two entities requires that the two experts belong to the same subject area and/or the same core competence. If the evaluating and/or the evaluated experts belong to a different subject area, the evaluation is far less important.

The results of the mutual assessments by the two experts are incorporated into the trust value of the respective expert.

System for complaining about the publication of content by an expert The invention provides that experts and/or entities, which preferably belong to the same areas of competence and/or the same subject areas, can complain against incorrect and/or misleading content from other experts.

The system intended to warn against incorrect content (fake) includes a notification to a responsible expert board in a competence area. The notification is hereinafter referred to as a complaint. The filing of the complaint and/or the statement on the complaint takes place within a certain period of time for the statement to be made. Failure to comply with the comment deadline will result in the article and/or a website being automatically hidden.

The invention provides for an expert panel before which the statements of the experts involved are discussed. The expert panel includes all experts in the respective subject area.

The decision on the complaint is made by a committee of experts.

In addition, experts from all areas of expertise have the opportunity to roughly evaluate content. A rough assessment is divided into the categories: “true”, “not true” or “is misleading”. This classification is only available to the expert on the respective side and/or the responsible expert panel (expert panel) of the relevant specialist area. The expert committee deals with conspicuous articles and contacts the responsible author. Corrections and/or specifications are made, preferably at the suggestion of the expert panel.

The knowledge platform and its facilities

A knowledge platform is created that the user can access via at least one open search engine. The user can also access the knowledge platform via its own search field. The knowledge platform draws on the knowledge and expertise of experts. The knowledge platform provides experts (knowledge holders) with earning opportunities. In addition, the knowledge platform offers users (general public) a platform on which the user can access trustworthy content. The knowledge platform has a facility with which expert knowledge can be made visible (content engine).

A further facility of the knowledge platform enables the website created by the expert and/or the link and/or the content of an article written by the expert to be evaluated by attaching at least one competency (quality engine).

With an additional facility, the knowledge platform of the invention increases the visibility of the website created by the expert and/or the visibility of the link and/or the content of the article written by the expert (growth engine).

By further setting up the knowledge platform, the interaction between the expert and the user takes place. The invention understands the term interaction to mean the actions of at least two entities (expert; user) that are related to one another.

The interaction occurs through an implicit dialogue that can later become explicit. The implicit dialogue takes place, preferably in an automated sequence, with a search query and the concrete answer to a very specific question.

In the case of explicit dialogue, the dialogue preferably, but not exclusively, takes place in the context of unlocking further in-depth content (content in-depth). The activation of further in-depth content can preferably take place during the study of the content through active action on the part of the user, in particular through a note from the user (explicit dialogue).

Content can be activated by clicking or by so-called crawling. In contrast to usual articles, a minimal amount of effort is required when clicking or crawling, for example to get to the next content block or to be able to open a personal note from the expert.

The user enters into an inner dialogue (implicit dialogue) with the expert. The implicit dialogue subsequently changes into a real dialogue (explicit dialogue). This transition preferably, but not exclusively, takes place via a so-called chatbot. Alternatively, the transition can also take place via a video bot or a funnel system.

The content engine and/or the quality engine and/or the growth engine enables the expert to expand his customer relationship. Individuals are entities that act as experts and/or knowledge holders.

The interaction can be automated over a certain period of time. The so-called “real” interaction is preferably only transferred to the respective expert when the so-called lead is qualified or upon a conversion. The qualification of leads is understood to mean the assessment of the quality of the customer contact. This is in particular the disqualification of bots and/or the disqualification of troublemakers is meant. The invention understands a conversion to be the conclusion of a contract. The contract can preferably, but not exclusively, be concluded between an expert and a user. The basis for the conversion can be the binding booking of a service or product.

Preferably, but not exclusively, the interaction is related to a previous search query by the user.

The invention promotes interactions between individual experts. These interactions between individual experts help to increase the reputation of the evaluated expert. The interactions between the experts lead to a significantly increased number of customer contacts. The interactions provide the experts with significantly better insights about their customers. The interactions also lead to increased customer loyalty. By the term interaction, the invention preferably, but not exclusively, understands a length of time and/or an intensity and/or a depth with which a user engages with the content and/or with the expert's profile.

The knowledge platform facilities prove to be extremely advantageous, as in this way the website created by the expert and/or the link and/or the content of an article written by the expert is given priority. Priority is given to the search results and/or test results generated by your own search engine and/or by an open search engine. Features of the knowledge platform

The invention assigns basic features as well as special features to the knowledge platform.

Basic features of the knowledge platform.

The knowledge platform includes at least one funnel. Below we will talk about a variety of funnels.

The invention understands funnels to be a lead generation system. The funnels are used to obtain contact details of potential new customers. The funnels can be designed in such a way that obstacles are built into the funnel system. With the help of the obstacles, interesting customer contacts can be distinguished from customer contacts that are not or only of little interest.

The obstacles in the funnel system help you focus on the most interesting contacts. The obstacles in the funnel system prevent the system from being overwhelmed by worthless requests. However, this categorization of potential customers can vary from expert to expert. The obstacles in the funnel system can suit a user whose business model is particularly aimed at mass customers. The obstacles in the funnel system can also suit another user whose business model is aimed at highly specific individual customers.

The knowledge platform also includes a listing system. With the help of the listing system, the experts are listed either according to the respective target group and/or according to their own qualifications and/or their own skills. Alternatively, the listing can be based on the respective catchment area and/or the associated recommendations and/or the expert's assessment by other experts. The experts can also be listed according to different subject areas.

The listings enable both users and bots to search the entities and the content separately from each other, but with a specific reference in mind. The knowledge platform's positioning tool manages up to three competency areas per entity. The areas of competence are each verified separately by other experts.

The more areas of competence the entity has, the more spread out the probability that the entity will receive a good rating for a particular area of competence relative to other experts.

The entity will therefore be more inclined to choose a field of expertise. The entity will select the field of competence that either corresponds to its current focus or that is of strategic importance in the future. In both cases, the entity achieves a more precise and/or clearer positioning in the ranking. With the higher ranking, the entity justifies higher hourly wages or daily rates. The expert pays more attention to the lucrative area, which also improves the quality of the content.

The decision in favor of a specific area of expertise can have far-reaching consequences for the earning potential and/or for the actual expertise of the expert.

In addition, the expert can be found via the targeted target group. The expert can be found using separate taxonomies that have nothing to do with the expert's subject matter or the expert's profession.

It is possible to work with allegories and to develop alternative comparison proposals that have so far eluded previous taxonomies.

The positioning of the expert in combination with a region or in combination with a target group can lead to previously unknown connections. By way of example, but not exclusively, a user who is interested in construction financing can be shown an expert who is an architect.

In this way, the user can research groups of experts who all have the same target group but are characterized by different areas of expertise. Those who bundle together Expert groups will continue to strengthen, recommend and connect each other.

The respective positioning in the ranking enables experts to be connected regionally and/or nationally. Overlapping target groups have complementary positioning.

The invention provides that the knowledge platform includes content management. The content is managed depending on the role of the user. The user's role can undergo a so-called upgrade and/or a so-called downgrade. Upgrades and/or downgrades can be purchased or earned through subscriptions.

The user role can be achieved by paying for a subscription, especially for a connected shop system. The user role can also be gained through recommendations and/or through content rating units.

By way of example, but not exclusively, users are roughly divided into four areas: employees, self-employed people, companies or organizations. In addition, artificial intelligence (AI) and definable bots are also included.

Depending on the respective area, the contents differ according to their functions, their prices and/or the presentation of the contents.

Alternatively, the knowledge platform can include a shop system for experts. This shop system for experts is to be distinguished from the shop system in which experts buy their subscriptions, for example. The respective experts can preferably sell digital products in an automated process. This gives the respective experts the opportunity to manage their visibility, building trust in a person and in content, lead generation and conversion on a single platform. The Shop may include services and/or products related to the knowledge, competence and/or trust of the Expert.

The knowledge platform also includes at least one digital meeting room. The digital meeting room can also be customized and created individually for each individual expert. The meeting room has a digital secretariat. The digital secretariat assigns the user automatically Consultation hours with the expert. The digital secretariat informs the expert about his appointments and the associated questions of the respective user. The expert's services are billed automatically after the consultation hour. Billing can be GDPR-compliant and can be used at any time. The meeting room can be customized with so-called branding and an appearance and is browser-based without additional software directly via a link with an access code.

The knowledge platform includes a local SEO optimizer. With the local SEO optimizer, the structure, especially of the website and the associated content, can be optimized in relation to the respective search engine. The respective regionalization increases the probability of being listed higher in this region for a corresponding keyword. Regionalization occurs both through further clustered content on the response page and through the display of regionalization in the URL and/or in the directory structure and/or in separate categories.

The invention provides that the knowledge platform includes a personal brand optimizer. This gives the expert the opportunity to optimize his personal brand according to his wishes. A personal brand includes, on the one hand, professional competence but also aspects of the person that can be of a personal nature. An assessment of the person can be achieved by incorporating separately listed but discoverable personal preferences, likes, hobbies or attitudes. Through this assessment, the person in question can be made “tangible” and “human”.

These areas are listed separately from the specialist expertise and form a separate private cluster that can also be surfed by the bot. Unlike other private social networks, you always remain in control of your own content. The private preferences can be changed and/or deleted and/or only viewed by the logged in user after registration.

Another fundamental feature of the knowledge platform is a secret headhunter function. The Secret Headhunter function allows a user, e.g. a headhunter, to search and/or find an employee in a specific field. Only verified headhunters can see whether a person is open to new job offers is. This feature can be used for headhunters looking for a specific

Companies that have already worked can be hidden.

Special features of the knowledge platform

The knowledge platform includes a system for verifying the expert and verifying the qualification of content. Content should always be assignable to an entity and therefore an expert. No content should be displayed without the associated author.

The expert himself is verified through the "invitation", a special form of recommendation. The invitation is presented as a highlighted link, which is understood by search engines as a link with higher importance. This link can be declared as "recommended by" and is can be changed accordingly. This first recommendation link from both sides, i.e. as recommended but also as recommender, can be cut. By capping the recommendation structure, either another recommender moves into this link or a new recommender is added by mutual agreement.

An entity must receive at least one recommendation and thus verification as an expert for a specialist competency within a given time, otherwise the expert's profile and answers are hidden. The content comes exclusively from a verified expert).

The knowledge platform also includes a content verification system. Here, at least one expert evaluates the content of at least one other expert. If the evaluating expert comes from the same area of expertise as the content, the rating is to be given a higher rating than if an expert from a different (foreign) area of expertise gives an evaluation. Each individual block and/or each individual cluster of the answer can be evaluated separately.

In another special feature, in an open content strategy, the content written by the expert is indexed by the search engine. The indexing is automatically displayed in the most important search engines when the content is updated in order to encourage renewed crawling. The indexing stimulus is limited to a maximum of once per day. The knowledge platform also includes a storytelling mechanism. The storytelling mechanism makes it possible to structure technical topics in a more exciting way, as well as to increase relevance and/or increase the user's length of stay. There are also known editing services that can be used to optimize the content for readability and/or rankings. Automated release functions are known with which the author has his content proofread and then releases the content automatically or manually. In addition, there may be author communities that are also displayed together.

The knowledge platform has a so-called dead content detector. The dead content detector continuously checks the expert's websites and/or the associated content (content) for currentness and, after a specified period of time, hides the content that is no longer updated.

In a further special feature of the knowledge platform, a single-content strategy and/or a regional-plus strategy of the knowledge platform only allows one answer to a question per geographical region of the expert's headquarters. This means that a specific question can only be asked once per region on a country domain. A question must therefore be modified and/or supplemented in order to be answered again. Such a limitation makes particularly common questions or particularly important questions or particularly short questions very valuable. With the regionalization of the question, clusters are possible down to the district or city level. This makes it easier to find regional experts. You can compete better with other websites because search engines give higher priority to regional results for regionalized keywords.

Conversely, there are also known non-regionalized keywords whose search volume is so low that regionalization is not necessary. The respective ID origins can be so different that supra-regional keywording is important. This is done on a state domain at the state level or at the federal level. Separate domains have been set up for global search queries. In order to keep the linking structures consistent, the linking structures are also created across domains.

In a transparency strategy, the knowledge platform only allows the publication of a website and/or content under the real name of the expert. Editing the name is not possible automatically. The name can be edited individually via support. Depending on the assessment of the situation, documents must be submitted to carry out the name change.

Another feature of the knowledge platform is the invitation tree. The invitation tree includes the recommendation structure of the inviters. Anyone who comes to the site via a recommender's link and registers will automatically see the sender of the link as an invitation recommender. This first link has a prominent position in the design and structure of the page. The position makes it possible to subsequently give the recommending person a prominent position on the new expert's response page. This person appears there as a “recommender” and is therefore centrally placed below the person of the expert. This creates a separate, backward-looking linking structure from recommender to recommender to recommender. The invitation structures are designed to be movable and therefore commercializable.

Another special feature of the knowledge platform is a recommendation matrix. The recommendation matrix includes a backlink building and/or a trust function. The invitation tree is designed separately from the recommendation matrix. The recommendation matrix gives a broad picture of the recommendations. The recommendation matrix gives higher qualifications to those recommendations that come from experts in the same field of expertise. The recommendation matrix is visible as a linking structure. The recommendation matrix can also be displayed as an image.

The knowledge platform provides a content cluster system as an additional special feature. The content cluster system is designed as a multisite strategy. Content from one domain can connect to content from a completely different site. The content of the other page can in turn point to completely different domains. However, all content is linked together in such a way that both users and bots recognize the verification of the entity and/or the verification of the content. This is done through a declining backlink that is checked for authentication. If the URL matches the content, a verification display appears as a seal. If this seal is only embedded as an image on your own page, there are no links pointing to this page and the seal is not implemented through an API (technical interface) with an individualized qualification code. Search engines recognize this isolated website as fake because the isolated website is not embedded in any other backlink structures.

The knowledge platform reveals a special feature according to which a content development engine is provided. The website and/or the associated content is then created according to specifications and/or automated, customizable coaching processes. In contrast to other sites, the creation of the content (content creation) is systematized. There are clustered questions that can be answered separately. The basis is the basic answer, which can be completed in a detailed, medium or simple coaching process, depending on the expert's preferences. The expert answers basic marketing questions without perceiving them as marketing questions. He focuses on his specific customers, their needs, their potential keyword entries, their hypothetical questions and the short answer. The basic answer can be used to publish a specific answer to a very specific question and for a very specific customer group in just a few minutes.

Specific additional indicators can then be stored in a so-called “optimizer”, each of which creates separate linking structures.

These are examples, but not exhaustive, of the target group and/or the expert's experience with the specific question and/or the time in which the expert deals with it and/or the needs that are related to the question and/or the specialist areas , which connect to it and/or the subject area overlaps.

In addition, the content clusters apply, such as, but not limited to, the short answer, the long answer, the facts, the opinion, the experiences, the tips and tricks, the further questions, the sources and possible conflicts of interest.

The knowledge platform includes a special feature of a so-called multi-channel distribution tool. The multi-channel distribution tool marks a location where a website and/or related content is created. From this location, content components and/or content individualized to a respective channel can be distributed automatically and/or according to a time schedule on various channels to be published. The content may be published on different platforms and/or at different times. The published content is developed and managed centrally in one place.

Another special feature of the knowledge platform reveals a target group link. Experts with the same target group are then linked with one another. These interconnected experts can offer complementary services and differentiate themselves from other experts via an expert circle. This makes exclusive expert circles possible that act as subsystems. The exclusive expert circles are highlighted and standardized compared to other experts and recommended as experts on a specific topic.

Presentation of the basic features of the knowledge platform as well as the special features of the knowledge platform using the example of a self-employed person

To manage the profile of the expert (entity), up to three areas of competence are preferably, but not exclusively, defined. In a second step, the competencies in these competency areas are verified by assigning the competencies by other experts. The verification of the competence fields is further carried out by proving the competences of the competence fields among the experts by answering several questions.

An optimized positioning is developed using a so-called coaching process.

This includes, for example, identifying your own target groups and their respective needs. This also includes the development of suitable content topics for the independent expert's own positioning. This also includes optimizing the entity's personal branding beyond the purely technical assignment of competences.

The invention understands personal branding to mean the fundamentals and/or goals and/or strategies of the entity.

A special feature is the linking of the expert's (entity) profile via the so-called API for your own homepage. In addition, a competence seal is integrated into the profile created in the previous step and/or into the content pages and/or into the own homepage. The link to your own homepage is done in the same way.

The optimization of the content can be added step by step. The website and/or the contents of the website are evaluated by other experts in the same area of expertise.

The facts of the website and/or the content are verified by reference to an expert board and/or to a block chain technology. The invention understands block chain technology to mean that participants in a network can only translate the requested information with a key.

Alternatively, automated backlink optimization can be used. It goes without saying that the content can also be optimized for keywords. An audio guide and/or an expert interview are preferably, but not exclusively, used as special features for optimizing the content.

In addition, an expert video can be used or individual SEO optimization can be carried out.

Content from the expert can be automated, converted and/or distributed at the same time for use on other platforms, such as Twitter, LinkedIn or Instagram.

Marketing optimization through conversion can be done by optimizing linking through a recommendation structure. Target groups can be edited. In addition, the published content can be used to verify other content.

Networking with experts with the same target group can take place. In addition, the funnels can be adjusted by the experts.

Inquiries can be answered using automated responses.

Consultation hours can be booked automatically using a booking system.

Sales of digital products can take place via a digital shop. So-called search engine ads can be integrated and/or managed.

Another special feature is notification via SMS, email or call when a user inquires.

Special, time-scheduled offers can be set up as special offers.

Banners and advertising spaces from a search engine can link to other pages on the same search engine.

Personalized video funnels can be used. A video funnel consists of a cascade of videos that are connected one after the other in such a way that the subsequent video is displayed based on the customer's behavior. The aim is to imitate a customer’s conversation that is as individual as possible. With each step there is greater clarity about the request and needs of the respective customer. In this way, an assessment can be made as to what offer is being made to the user (customer) and how much effort will be involved in further contact with the customer

The performance of the content can be analyzed by displaying the published articles. The percentage at which each article had to be optimized is determined.

The analysis requires a display of the target groups and the associated content. In addition, visits and inquiries to the websites of the respective experts are displayed.

The associated backlinks can also be displayed, as well as a search engine ranking with regard to the underlying question, based on keywords. The resulting curve can also be referred to as a fever curve.

Ranking

The invention provides that the website and/or the associated content and/or the expert as author can change, preferably improve, the respective position in the ranking.

The invention understands the crawler budget to be the effort that the search engines put in to examine a website. The higher one The website is ranked by a search engine, and the more frequently the website is visited by the user due to the respective ranking, the higher the crawler budget that is allocated to the respective website by the respective search engine (e.g. Google).

The crawler budget rewards the website and/or the associated author who publishes particularly current and particularly good articles. This means that current articles are listed particularly high on the pages that provide an entry point for the search engines. The same applies when listing the items in the respective categories.

The better an article (content) is rated by the quality engine and thus by other experts, the higher the position of the article and/or the position of the website in the listing in internal categories of a search engine.

Since search engines view the first links of a website and/or a listing as particularly valuable, the good articles are also increasingly visited by search engine crawlers. In this way, particularly current and particularly good content receives higher visibility both on your own website and indirectly in the ranking of a search engine.

The invention understands the term content status to be a quality indicator that is fed by various parameters. The quality indicator is particularly influenced by the assessment of experts in their own field of expertise. Secondly, the content status includes reviews from other experts who do not belong to the same group of experts. However, these ratings count significantly less towards the content status. Thirdly, the assessment of the expert as such flows into the assessment of the content status. The more people have verified the expert's competence and the better the competence assignment, the higher quality the verified expert's answers are in relation to other (e.g. non-verified) experts.

Fourthly, updates are also included in the content status. If content is not updated within a prescribed time, the content loses its links and later also its visibility. The content can only be displayed again with a new update. Is the content about a certain If the time threshold has not been updated, it can no longer be activated at all. Content can therefore “die” if it is not maintained. However, a “dead” question can be reactivated by another expert.

How good a piece of content is becomes clear, among other things, in the category listings (relativity of the content status).

The higher the status of the crawler budget, the higher the probability that the website and/or the content of the website and/or the expert as the author of the website will occupy a top position in the list of search results.

Experts in one area can see how advanced other experts' questions are while trying to get above the other's level. This is primarily about quality and, to a much lesser extent, about quantity. There is therefore competition between the experts.

There are assignments of competence that are directly tied to a person (expert; author). Other assignments of authority are tied to the content of the published content. The latter have an indirect impact on the associated author or have an impact on the associated author.

Increasing the ranking by combining the provision of the knowledge platform (1st ranking engine) with the assignment of competencies to the entities (2nd ranking engine)

With the knowledge platform, the invention provides well-known search engines with a first ranking engine to ensure a new quality standard. The first ranking engine increases the likelihood of the search engine being able to show the user good quality content.

The knowledge platform structures the websites and/or the links and/or the content of the articles written by the respective experts.

For reasons of simplicity, the following refers generally to the website and/or the content of the website.

The structuring and/or the preparation and/or the linking of the

Websites on the knowledge platform can be based on competence and knowledge of the expert (author of the website). It goes without saying that the structuring and/or the preparation and/or the linking of the websites can also be carried out according to other standards.

With the second ranking engine, the invention evaluates the relevance and/or the quality and/or the mutual relationships of the websites listed and/or saved on the knowledge platform.

By combining the first ranking engine with the second ranking engine, the invention represents the mutual linking of the respective websites, which are made accessible to the user on the knowledge platform. The combination of the first ranking engine with the second ranking engine links the content of the websites with the corresponding experts who created the websites.

According to the invention, the second ranking engine includes the evaluation of the expert who created the website and/or the content of the website. The expert is evaluated by assigning competencies to the respective expert (entity).

Depending on the first and second ranking engines, the algorithms of the respective search engine change the position in the ranking of the respective website. The higher the rating of the website by the two ranking engines, the higher the position of the respective website will rise in the ranking of the respective search engine.

Every revision of a search engine's algorithm changes and/or clarifies the user's search results. The at least one parameter and/or the at least one further parameter and/or the at least one piece of information stored on the knowledge platform is fed to the algorithm of the search engine.

In order to get the best possible search result in the shortest possible time, the user's interest is to have his question answered, if possible, by a high-ranking expert in the relevant field.

The invention combines the respective content of the knowledge platform in such a way that both the user and an artificial intelligence can qualify a specific search result as expert knowledge.

Every new contribution that is assigned to this knowledge platform benefits from the good reputation of the expert responsible for its creation responsible for the contribution. In this way, the user influences the so-called crawler budget of the website being researched.

A website researched by the user is scanned by a so-called web crawler. The invention understands the web crawler to be an Internet metasearch engine. The web crawler forwards a search query to several other search engines at the same time. The web crawler collects the results and processes them.

Parallel to the scanning process, the researched website is indexed. Through indexing, the researched website receives a so-called URL index as a visible identification of the website in the search engine's database.

Following the crawl process, the search engine decides where the website will be positioned in the search engine based on predetermined factors. Preferably, but not exclusively, the factor can be the loading time or the term expression. It goes without saying that the factor can also be a link to the respective website. The factors influence where the researched website is positioned in the search results.

The so-called crawler budget determines how often the respective website is analyzed. Depending on the quality of the content and the so-called usability, high-quality websites are crawled more often. Websites that are visited more frequently receive a higher crawler budget.

Good content confirms the previously awarded reputation and thus the trust in the consistency of good content.

This in turn increases the ranking and thus the visibility of the respective website. In other words: there is a cascade of confirming factors.

The invention provides at least one structure which means that website content is only written by people who are knowledgeable about the issue (experts).

The structure includes at least one mechanism that continuously improves the content of the respective website. In addition, the structure provides at least one rule that reduces and/or eliminates false and/or misleading information over time.

The structure also provides an environment in which content written by experts is stored.

Mechanisms of the interaction of the first ranking engine with the second ranking engine

The mechanisms of interaction between the two ranking engines operate at least on one of several levels. The levels preferably include, but not exclusively, a competency level and a quality level. In addition, an improvement level and a recommendation level can be provided.

At the competency level, the knowledge platform provides the publication of a website and/or an associated article depending on whether the entity, preferably the expert publishing the website, has been assigned at least one competency in advance.

The competence level enables the user to quickly and specifically find the website and/or the associated article on the knowledge platform.

At the quality level, the knowledge platform provides a further publication of a website and/or an associated new article depending on whether the publishing expert (entity) has been verified in advance of a predetermined number of websites and/or a predetermined number of associated new articles.

The competence level increases the trustworthiness of the website and/or the associated article to the user.

At the improvement level, the knowledge platform makes a website and/or an associated new article invisible when there are a predetermined number of suggestions for improvements to the website and/or the associated new article.

The improvement level increases the availability of expert knowledge for the user. At the recommendation level, the knowledge platform validates the website and/or the associated new article when there are a predetermined number of recommendations from other experts (entities).

The recommendation level enables the expert to also sell his expert knowledge.

The arrangement of a competence level and/or a quality level as well as the arrangement of the improvement level and/or the recommendation level prove to be extremely advantageous because the knowledge platform can in this way provide the user with high-quality websites and content within the framework of social journalism.

At the same time, it increases the security for the expert that the website he has created will also be visible.

The mechanisms of interaction between the first ranking engine and the second ranking engine offer the user the opportunity to check whether the research results obtained adequately answer the question on which the respective search is based.

The mechanisms of interaction between the first ranking engine and the second ranking engine offer the expert the opportunity to have the answers he or she gives evaluated in order to be assigned additional competencies.

The invention provides a competency-based identity to anyone who wants to represent themselves on the Internet, preferably an expert. The competency-based identity increases the expert's recognition, which can have a positive impact on the expert's sales figures.

Advantages of the invention

By verifying the website and/or the associated content, the invention ensures that the respective publication on the Internet (website and/or the associated content) is a reputable environment.

Preferably, but not exclusively, the quality status of the website and/or the quality status of the associated content can be made clear using a seal. New rules for measuring quality can be assigned to the quality seal. Known rules can be deleted.

The measurement of quality can preferably, but not exclusively, be carried out through quality verification. The verification can take place in particular through documents or through verification within the social network.

A fact can be confirmed and/or verified, for example, by a certificate and/or by the author's professional experience and/or by other objectifiable events.

By evaluating the expert and/or his website and/or the associated content from the expert's colleagues, the publishing expert can also distinguish himself from them (the other experts).

By automating the processes within the knowledge platform, the expert (entity) can fully concentrate on his or her skills.

With his contributions to the knowledge platform, the expert can present the direction of his own work to his own employees. He can also inform his customers about the latest news. It is no longer necessary to bring in your own editorial team, graphic designer or online marketing specialist.

Concentrating on the core competencies of the expert (entity) leads to an optimization of the existing position in the market and in the ranking. By displaying the real name, the expert stands for the published content with his real name.

The expert (entity) can name its own competence itself.

Expert verification makes it clear that the website and/or article was published by an expert.

Verification of the expert can be done in just a few steps, preferably within a few minutes. With the help of a multi-channel function, the expert can display content on different channels automatically and according to their own time requirements.

One parameter can be the so-called bounce rate, which measures the time how long it takes a user to go back to the search engine and enter a new query there.

A combination of the search content and the time it takes to enter this new input determines how helpful the content was for the user.

The logic behind it says that the longer a user is on a page, the happier the user was.

The more different the next search query is, the more helpful the result of the page was for the user.

However, it is possible that the search result takes the user to a page where he has to find his way around until he notices that the actual question is not answered.

The user stays on a page for a disproportionately long time and then enters a new query into the search engine's search mask. This shows that there are technical indicators that can be helpful, but they only provide information about the quality and trustworthiness of content in combination with other parameters.

Advantageous examples and embodiments of the invention are described in more detail using the following schematic representation. 1 shows the steps of the process according to the invention.

In the present example, a predetermined number 2 of experts 3 are available to answer a question.

In the first step 1, for example, a friend of the user recommends to the user which of the available experts (entity) 3 could be suitable to answer the user's question. The user then selects from the number 2 of experts 3, the expert 3 who was recommended to him in advance. The user then commissions the selected expert 3 to answer the question. In the next step, the user opens a test account 4 and sets keywords 5 in it.

In step 6, the user receives the verification of the selected expert 3. As confirmation, he is given a seal of the selected expert 3, which confirms the quality and competencies of the selected expert 3. The user pays a fee for transmitting the seal.

With the help of a coaching process 7, the selected expert 3 improved his own position in the ranking in advance. With the help of the coaching process, the selected expert 3 also determined in advance the target group for which he would like to work in the future. He also set communication goals for the users.

In a step 8, the expert creates 3 links in other search engines.

In a 9th step, the selected expert 3 optimizes his website and/or the associated content.

In steps 10 to 12, the expert provides 3 digital services. The digital services may preferably, but not exclusively, involve answering inquiries and/or creating leads 10.

Sales of digital services are represented by reference number 11.

The reference number 12 stands for scalable consulting tools, such as coaching systems, videos, etc., which the selected expert 3 provides.

The selected expert 3 can alternatively offer a digital consultation 13.

A knowledge platform 14 is provided which the user can access, in particular via already known search engines.

The knowledge platform 14 is structured in such a way that the expert 3 can concentrate on his know-how and the skills 17 assigned to him. Reference number list

1 I. Step

2 number

3 expert

4 test account

5 keywords

6 Step 6

7 Coaching Process

8 Step 8

9 9th step

10 Step 10

11 Step II

12 12th step

13 Digital consultation hours

14 knowledge platform

15 campaign

16 Analysis of the target group

17 Competence

Claims

Patent claims

1 . System for merging data with a storage unit of a computer, - the storage unit comprising a knowledge platform, characterized in that - at least one parameter is stored on the knowledge platform, which represents a competence of a real entity, and that - on the knowledge platform at least one another parameter is stored, which represents at least one real entity, - whereby on the knowledge platform a parameter which represents a competence is merged with at least one further parameter which represents at least one real entity, - whereby the knowledge platform comprises a first device which contains information generated, with which the competence of the real entity can be represented in its assignment to the real entity (content engine), - the knowledge platform includes two devices, which

Information is generated which is used for the evaluation of further real entities of one's own competence by the real entity (quality engine), - whereby the knowledge platform comprises a third device which generates information which is used for the verification of the real entity with evaluation units by at least one further real one Entity of one's own competence can be used (growth engine), - parameters stored on the knowledge platform and/or further parameters and/or information are fed to a search engine.

2. System according to claim 1, characterized in that the on the

Knowledge platform stored parameters and / or further parameters and / or the information are fed to a search engine, the search engine representing a closed functional unit.

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3. System according to claim 1, characterized in that the real entity and the other real entities are linked to one another on the knowledge platform.

4. System according to claim 1, characterized in that the knowledge platform is a database on which websites and / or content of the real entity are clustered together.

5. System according to claim 4, characterized in that the knowledge platform is a database on which the real entity can create websites and / or content.

6. System according to claim 1, characterized in that the knowledge platform has a means for verifying the websites and / or content that the real entity has stored on the knowledge platform.

7. System according to claim 1, characterized in that the knowledge platform has a means for identifying and / or removing websites and / or content that the real entity has stored on the knowledge platform and that is incorrect and / or outdated are.

8. System according to claim 1, characterized in that the knowledge platform has a means for clustering (merging) websites and / or content that the real entity has stored on the knowledge platform.

9. System according to claim 1, characterized in that the knowledge platform has a so-called multi-channel distribution tool with which the real entity creates websites and / or content that is available at self-selected times on different search engines and / or be published on different platforms.

10. Method for merging data with the system according to one or more of the preceding claims 1 to 9, in which - at least one parameter is stored on the knowledge platform of the computer's storage device, which represents a competence of a real entity, and in which - at least one further parameter is stored on the knowledge platform of the storage facility, which represents at least one real entity, - whereby on the knowledge platform a parameter which represents a competence is combined with at least one further parameter which represents at least one real entity, - w whether the knowledge platform comprises a first device with which information is generated with which the competence of the real entity is represented in its association with the real entity (content engine), - wherein the knowledge platform comprises a second device with which information is generated , which are used to evaluate further real entities of one's own competence by the real entity (quality engine), - the knowledge platform includes a third device with which information is generated which is used to verify the real entity with evaluation units by at least one further real entity of one's own competence (growth engine), - whereby parameters stored on the knowledge platform and/or further parameters and/or information are fed to a search engine.