Latent Semantic Search and Information Extraction Architecture
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Authors: Anton Kolonin
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Latent Semantic Search and Information Extraction Architecture
Authors:
Year: 2019
Venue: Knowledge-Ontology-Theories (KONT-2019)
Links: arXiv abstract
Summary
Describes the motivation, design, and implementation of a latent semantic search engine for autonomous AI agents, with built-in entity extraction and property attribution, adaptive storage, configurable scope, and offline operation. It frames autonomous, resource-constrained web search and information extraction as an application of AGI principles for artificial agents.
Relevance to Hyperon
An Aigents/SingularityNET NLP source on semantic search, entity extraction, and property attribution — second-tier / adjacent pipeline context for the information-extraction and semantic-representation themes of the Semantic Parsing Deep Dive.