AI for Automatic Content Generation

Currently human knowledge and the information produced by human in the forms of text, audio, video or multimedia contents are stored in vast repositories of corporate data centers, digital libraries, search engines, and storages of individual computer servers. The only effective tool at the disposal of a knowledge seeker professional for attaining knowledge or information is the service of search engines that provide a great many number of webpages and documents related to a keyword and a subject matter.

Internet has provided a long awaiting tool for connection and communication of people around the world. One of the most important applications and implication of Internet is its use in enhancing ideas and rapid information exchange between people or groups of people with similar interests. Such growing interest has created many applications and systems for group discussions and question answering, such as wikipedia, search engines, photo and video sharing, numerous portals, discussion groups, and the like. These systems and applications have accelerated knowledge discovery, creation of artistic contents, producing novel and useful inventions, and in general advancement of our understanding of the universe around us.

SCI is introducing AI assisted content generation system and method is presented for knowledge discovery that incorporates both human and computers to index, process, and communicate and share the knowledge and electronic contents. It also provides a platform for launching unlimited number of qualified and content reviewed publishing/broadcasting ventures or artificial beings. The system assists individuals for faster and more efficient discovery/creation of new and useful knowledge, and valuable artistic content. It also provides incentives to the owners of the ventures and a method for rewarding or compensating all contributors.

Most of the knowledge sharing and contributions, on or over the Internet, are arbitrary qualified, it takes time for general public to come to a robust and lasting understanding of a subject, or appreciation of a content. Therefore, the vast amount of data, that is being generated daily, has to be filtered out over a relatively long period of time by collective wisdom of public before it can be used. While in most subject matters of general public interest, ordinary people may contribute to the subject and let the fact and best solution to be found overtime, these unsupervised method of general public understanding growth lacks the rigor and credibility that is needed for a real advancement of public well being. The rigor and credibility only comes after a relatively long period of time.

Mostly the information available through Internet needs further verification and research by the consumer and this could be time consuming and frustrating. The process of peer reviewed scientific contribution publication, on the other hand, has the rigor and substance and therefore the credibility that is needed for true advancement of human knowledge, nevertheless it is a very slow process and does not present the speed and ease of accessibility that is necessary to tap into the vast potential of general public brain power and knowledge. Editors and reviewers of scientific journals do not have much incentive to serve unknown ordinary contributors.

Moreover, naturally, they do not have the resources or expertise to find and cover all the subject matters of importance and assess and investigate all submitted contents. Therefore there is a need in the art to have a system that, automatically or semi-automatically, can assist both publication/broadcasting administration and contributors to screen and assess all submitted contents in terms of their intrinsic value and substance before being viewed or used by public, without posing the above mentioned constraints. It is also desirable to have a system that can systematically guide users, through their research to discover, innovate, create, and make valuable contributions. It is also advantageous to have a central system that allow all the qualified experts launch their own publication/broadcasting ventures with the least amount of investment and overhead for commercial gain thereby accelerating the rate of knowledge discovery, knowledge distillation, and economic growth.

In this application a system and method is presented for knowledge sharing and discovery by analyzing the content of online repositories, building an association database of ontological subjects, and solicitation of electronic contents in the form of a text, audio, or video and any combination of them. The system and method can assist and guide the users and creators, regardless of their level of knowledge, to being able to make valuable contributions, while shortening the research and creation time significantly. The shared knowledge is peer reviewed by authorities in each subject so that their quality and substance is more reliable than arbitrary qualified contents presently available in the Internet.

The system is comprised of information processing units in the form of hardware and software that are connected to the Internet by communication means. The processing units can be comprised of electronic hardware such as CPUs (central processing units) memories, and software in the form of specialized programs and algorithms, and intelligent agent program, in any applicable computer language. The processing units or processing devices (e.g. CPUs) must be able to handle large collections of data. Therefore the computing units, or data processing devices, to implement the system have compound processing speed equivalent of one thousand million or larger than one thousand million instructions per second and a collective memory, or storage devices (e.g. RAM), that is able to store large enough chunks of data to enable the system to carry out the task and decrease the processing time significantly compared to a single generic personal computer available at the time of the present disclosure.”

It is also very desirable to enable a data processing system, such as a computer system comprise of data processing or computing devices/units, data storage units/devices, and/or environmental data acquisitions units/devices, and/or data communication units/devices, and/or input/output units/devices, and/or limbs, to learn as much information and gain knowledge/data by processing compositions of data of various forms and/or become able to produce new knowledge and useful data or compositions of data and/or autonomous decision making according to some codes of conducts.

Such an enabled machine would be of an immense assistance to the development of human civilization much further and much faster leading to abundance, economic prosperity, biological and mental health, and well-being of society. Accordingly and, for instances, in applications such as question answering, knowledge retrieval, or machine learning from a knowledge database or knowledge repositories or data warehouses or streams, one need to know what are there to know at first and then looking for how they are related in order to build and enrich the knowledge base that is able to serve a client satisfactorily.

Currently, for instance, there is no systematic way of building such a database or general ontology consisting of statements of verified facts. The few attempts to build such useful databases are based on human labor or complicated reasoning and first order logic framework, rather than a systematic and automatic way of finding the distilled knowledge from the vast repositories of human generated data available over the internet or other data warehouses. In building the system software agents are used to find important subject matters/fields of interest by looking up into a list of subjects gathered from various sources such as lexicons, ontologies, dictionaries, special dictionaries, and searching through Internet and counting and ranking the importance of a subject by counting the number of documents containing that subject or any other ranking methods for concepts. At the same time the software agent is looking for proper names and affiliations and addresses that are associated with the subject and ranking them accordingly based on their level of authority.

Alternatively the system finds the subjects of importance and interests and the associated experts by directly searching through readily available databases where it can find the desired information such as university URLS, specialized professional associations, who's who, and all online publication collections available. The system then assigns appropriate names or titles for such subject matters and makes a list of available subjects and titles as candidate name for publication/broadcasting shop to be used for subscription and running by users. In the preferred embodiment, the system further provides an online publishing/broadcasting format/s for each subject matter in the form of online journals or knowledge sharing groups, interactive conferences, broadcasting templates and the like, which is called a publishing/broadcasting shop in this application.

The system further contains a database of authorities' experts in each subject matter for consultation and reviewing. Users, who want to establish their own online publishing/broadcasting shop, then may apply to subscribe or buy online publishing/broadcasting shop's title/s among the topics and titles available. Alternatively the system accepts suggestion from interested users or subscriber to open a shop with their own suggested title or name. Interested users can include individuals, legal entities, a group of individuals as well as computer agents. The system will grant the privilege of establishing an online publication/broadcasting shop according to the system's predetermined standards.

Once the application is approved and a title of publishing/broadcasting shop is assigned to the user the owner of the online shop can use the service of the system and start soliciting and providing the service to her/his group of people interested in that subject matter. To assist the editors and contributors, reviewers, and users, the system has a distilled universal repository of human knowledge that is called Ontological Subject Map (OSM) in this application. The OSM is used to screen, evaluate, guide and assist, and measure the value of a submitted content, its novelty, and overall merit of a contribution. By consulting the OSM the system can pose useful questions and make intelligent suggestions and guides for further research or clarification.