Concept Taxonomy is a normalized comprehensive natural language schema for the ontology to humanize data facilitating the collaboration, communication, storage, retrieval and knowledge of all types of information across disciplines and languages
Abstract
Concept Taxonomy data structure and naming system, is a normalized schema and ontology for secure universal storage, retrieval and back-up of information which parallels natural language, thought and etymology. Concept Taxonomy is the implementation and classification of a method to intuitively conceptualize, categorize, characterize, locate and compose any type of information. Concepts are elucidated by the compositions of propositions of predicate thought concepts to referent object concepts. The normalized data structure allows for maximum compactness and control of data, removing redundancy and storing each individual piece of data only once.
Claims
exact text as granted — not AI-modified1 . A machine-readable program storage medium tangibly embodying sequences of instructions, the sequences of instructions for execution by at least one processing system to perform steps for defining a schema for a database, the database for storing and retrieving the Concept Taxonomy to be as follows:
Concepts, categories and types of things are primarily communicated by the creation of strings of characters and or symbols Concepts are described as identifying a cognitive unit of meaning, where the creation of a parent concept category branch gives context to a type of information Concepts are elucidated by the composition of their propositions of a predicate thought concept to a referent object concept Information types are concepts composed of references for proposed labels, types and locations for information
2 . The Concept Taxonomy and apparatus of claim 1 , where in, a list of unique elements of concepts, compositions, propositions, types, formats, locations, strings and tables are produced as a namespace dictionary for use as a standard measure for the exchange and communication of information.
3 . The Concept Taxonomy and apparatus of claim 1 , where in, one embodiment having a set of tables including:
A table of concepts comprised of elements each having at least:
The unique id for the concept
The category of a concept referencing the concept of the parent
The type of a concept referencing the concept of a type
The information of the concept referencing a location and format cast by the type of the concept
A table of propositions comprised of elements each having at least:
The unique id for the proposition
The predicate thought of the proposition referencing a concept
The referent object of the proposition referencing a concept
A table of compositions comprised of elements each having at least:
The unique id for the composition
The concept of the composition
The proposition of the composition
A table of strings comprised of elements each having at least:
The unique id for the string
The unique information of the string as a set of characters or symbols represented in a binary format
4 . The Concept Taxonomy and apparatus of claim 1 , where in, one embodiment having a set of tables including:
A table of concepts comprised of elements each having at least:
The unique id for the concept
The category of a concept referencing the concept of the parent
The type of a concept referencing the concept of a type
The information of the concept referencing a location and format cast by the type of the concept
A table of compositions is comprised of elements each having at least:
The unique id for the composition
The concept of the composition
The predicate thought of the composition referencing a concept
The referent object of the composition referencing a concept
A table of strings is comprised of elements each having at least:
The unique id for the string
The unique information of the string as a set of characters or symbols represented in a binary format
5 . The Concept Taxonomy and apparatus of claim 1 , where in, one embodiment has a default type of information being a string of characters or symbols.
6 . The Concept Taxonomy and apparatus of claim 1 , where in, a network is used to request permission from one concept schema to access elements of another concept schema.
7 . The Concept Taxonomy and apparatus of claim 1 , where in, users of the concepts store can be charged rent for their storage space and bandwidth access to their concepts stored at a central facility.
8 . The Concept Taxonomy and apparatus of claim 1 , where in, a business concept offers developers, solution providers and marketing companies, the benefit of cross marketing back end data storage solutions, applications and services to their clients information.
9 . The Concept Taxonomy and apparatus of claim 1 , where in, the sale of marketing language and business intelligence statistics can be offered.
10 . The Concept Taxonomy and apparatus of claim 1 , where in, a set of rules can be provided through the Taxonomy to provide language translation which is able to offer concept information based on a dictionary and the local cultures statistics in the database on usage of idioms.
11 . The Concept Taxonomy and apparatus of claim 1 , where in, the variables for entry date, termination date, entry user id, original record id, security id, IP address id, session id, group access id and user access id provide the ability to charge users for the benefits of additional security and keep a history of deleted records by offering various levels of service for keeping such information.
12 . The Concept Taxonomy and apparatus of claim 1 , where in, users may buy a token to register their concept namespace with a central database and offer the availability of their updated Concept Taxonomy Ontology to other users.
13 . The Concept Taxonomy and apparatus of claim 1 , where in, an asymmetrical multi-processing system is used to deliver information.
14 . The Concept Taxonomy and apparatus of claim 1 , where in, an asymmetrical internet or intranet concept services may be offered.Join the waitlist — get patent alerts
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