US 11,238,238 B2Granted

System and method for semiotic digital encoding

AssigneeBevilacqua Research Corporation, Inc

InventorsAndy Bevilacqua, Roy Brown, Glenn Hembree

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Abstract

A system and method for lowering probability that low data rates, high bit error rates, and susceptibility to signal degradation in communication environments during storms, solar activity, and adversarial activity is disclosed. The system and method affect communications by minimizing the amount of data/information that needs to be transmitted, partly by creating an algorithmic process/method that moves knowledge and not data and information. The system and method is based upon the realization that structured communications often possess a similar level of context that can be exploited to communicate full meaning (knowledge), even when only a small fraction of the message is transmitted to the receiver. Reducing the number of bytes transmitted significantly reduces the probability that a transmission will be affected by either naturally occurring or human supplied factors present in modern communication environments.

Claims9

Dependent claims

A method of structuring a Semiotic Digital Encoding (SDE) environment, comprising:

configuring a base transmitting module for sending structured text messages;
pairing a remote receiving module to be in communication with the base transmitting module;
the structured text messages comprising both permanent unchanging data elements as well as changing data elements;
converting the structured text message into a conceptual graph representation;
forming the conceptual graph representation with individual text fields having connective fields for the structured text;
performing a semiotic encoding of the structured text message by converting the structured text message into transferable data, using machine code, and compiling the transferable data into a state transition table;
once the state transition table and graph node output are established, the base transmitting module communicating the state table and the graph node output to the remote receiving module;
the remote receiving module receiving the state table and graph node output;
the remote receiving module recreating the conceptual graph representation;
the remote receiving using the graph node output to fill the individual text fields of the conceptual graph representation;
thereby
recreating the original structured text message.

9 more elements

Dependencies are inferred from the claim text.

Facts

Application: 16/822,699Filed 18 Mar 2020 · continuation
Priority: 18 Jan 2018
Published: US 2020/0159996 A13 Sep 2020
Granted: 1 Feb 2022
Term ends: Not estimatedThe source records don’t support an estimate.

Classification5 codes

G06F 40/30
Handling natural language data: semantic analysis
G06F 8/65
Software deployment: updates
G06F 16/9024
Indexing; Data structures therefor; Storage structures: graphs; Linked lists
G06F 40/149
Use of codes for handling textual entities: adaptation of the text data for streaming purposes, e.g. Efficient XML Interchange [EXI] format

Family

Application15/874,838Parent of this continuation-in-part · filed 18 Jan 2018
Application16/537,611Parent of this continuation · filed 11 Aug 2019
US 10,437,930 B1Parent of this continuation-in-part · filed 8 Oct 2019
US 2020/0279078 A1Pre-grant publication · published 3 Sep 2020
US 10,650,193 B1Parent of this continuation
Application16/537,611Parent of this continuation-in-part
US 2020/0159996 A1Published application
US 11,238,238 B2This patent

From the US filing history. Foreign family members aren’t listed.