Intelligent Industry Analysis Tool Based on Knowledge Graphs and Industry Atoms

VentureSights (also called 万因) is an intelligent industry analysis tool based on second‑generation knowledge‑graph technology, designed to help consulting firms, IP service companies, investors, and government agencies quickly generate industry situation, relationship, and future development reports.

Core Functions

The tool consists of four main modules: industry analysis, business opportunity mining, financing analysis, and merger‑acquisition analysis. It collects underlying data such as annual reports, company descriptions, patents, software copyrights, trademarks, and qualifications, then uses AI algorithms to produce analysis reports.

Product Workflow

Users can select or customize industry chains, search for enterprises via multiple channels (company search, patent search, graph search), filter results by business scope or region, and generate enterprise lists for further analyses such as regional comparison, capital concentration, and track analysis.

Industry Atom Concept

An industry atom is a granular unit describing a product, service, raw material, component, or tool, with clear boundaries. It serves as the basic vocabulary for building industry knowledge graphs, enabling flexible retrieval and similarity calculations.

Representation and Features

Each atom is encoded as a 256‑dimensional vector using graph‑embedding techniques; vector distance reflects similarity. Atoms are indivisible, may intersect, can be related in multiple ways, and number over 28 million, allowing comprehensive industry coverage.

Extraction Algorithm – Industry‑Atom NER

The pipeline includes corpus generation, raw term extraction, legality model updating, automated labeling, NER model training (BERT + Transformer + CPF), new‑term generation, filtering, and merging, iteratively expanding the term dictionary.

Semantic Deep Walk on Heterogeneous Networks

To embed heterogeneous nodes and semantic relations, the traditional DeepWalk algorithm is extended, enabling multi‑type node representation and capturing semantic links for industry and enterprise vectorization.

Overall System Architecture

The architecture integrates data ingestion, industry‑atom construction, graph embedding, module‑level analysis, and visualization, supporting report generation, chart download, and enterprise evaluation.

For more details, the original presentation includes diagrams and screenshots illustrating each component.