100% complete
29 reference numerals
~6 pages
Jurisdiction
United States (USPTO)
Type
Utility
Entity Size
Small
Technology
The present disclosure relates to the field of data processing and natural language processing, and more particularly to systems and methods for converting unstructured electronic documents into structured, self-contained semantic knowledge containers optimized for parsing and querying by artificial intelligence agents.
Docket No.
186709
Inventors
DLM Media
Prior Art
25 references found
1. A computer-implemented method of converting an unstructured electronic document into a self-contained agent-readable knowledge container, comprising: receiving the unstructured electronic document; extracting text, positional metadata, and typographic metadata from the unstructured electronic document; detecting structural elements within the unstructured electronic document based on heuristic rules, wherein the structural elements include headings, sections, tables, and references; generating semantic enrichment data using a large language model, wherein generating the semantic enrichment data comprises summarizing the unstructured electronic document, extracting entities, determining a document classification, and constructing a knowledge graph; generating vector embeddings for semantic chunks of the unstructured electronic document; and packaging a set of artifacts, including the unstructured electronic document, extracted text, positional metadata, typographic metadata, detected structural elements, semantic enrichment data, and vector embeddings, into a single compressed archive file