Patent ID: 11966686
Assignee: THE BOEING COMPANY
Field: Computer technology (Electrical engineering)
Classification: CPC G | IPC G

Claim 0:
1. A method, comprising:
identifying a seed electronic document including natural language text describing an issue with a complex system;
creating a synthesized document for the seed electronic document by:
removing a portion of the seed electronic document that is determined to satisfy a predefined filtering rule;
identifying a first set of terms included in the natural language text that map to terminology identified in a data dictionary;
extracting, using a machine learning model, term-order data based on locations of the first set of terms in the natural language text, wherein the term-order data identify how the first set of terms interact with one another to affect a semantic meaning of the natural language text;
assigning, using the machine learning model, a weight to at least one term in the first set of terms based on a physical area of the complex system associated with the issue;
including the first set of terms, the term-order data, and the assigned weight in the synthesized document; and
generating an index structure from the identified first set of terms in the seed electronic document, wherein the index structure identifies the first set of terms and corresponding semantic meanings of the terms in one or more searchable layers of the index structure;

identifying, from a corpus of historic electronic documents, a first set of historic electronic documents that are related to the seed electronic document using a two-tiered query at a query processing component comprising a first data analyzer component and a second data analyzer component,
wherein a first tier query utilizes the first data analyzer component and comprises information specific to the seed electronic document and the complex system, and wherein the first data analyzer component outputs a relevancy formula based on the information specific to the seed electronic document and the complex system, and
wherein a second tier query utilizes the second data analyzer component and is defined by user specified layers in the index structure and comprises the term-order data included in the synthesized document as a search feature for the first set of historic electronic documents to match against, wherein the second data analyzer component outputs a synthesized set of data models, and wherein the query processing component updates the synthesized set of data models using the relevancy formula to search the first set of historic electronic; and

outputting at least a portion of the first set of historic electronic documents.