en.Wedoany.com Reported - Recently, China Mobile Wutong Data · Ontology Intelligence Platform (KnoVa) successively passed two authoritative evaluations from the China Academy of Information and Communications Technology (CAICT)—the specialized tests for "Technical Requirements for Ontology Intelligence Platforms" and "Technical Requirements for Ontology Modeling"—becoming the first product in the entire industry to simultaneously pass both authoritative evaluations in the ontology field. This dual-standard compliance fully demonstrates that KnoVa leads the industry and ranks among the highest technical standards in the two core areas of intelligent ontology modeling and the data-AI integrated foundation.

Building upon its existing data and AI capabilities, China Mobile independently developed the Wutong Data · Ontology Intelligence Platform (KnoVa). Benchmarking against Palantir's ontology intelligence methodology and Databricks' integrated data + AI philosophy, it realizes a paradigm revolution in data management from "table-centric" to "object-centric."

KnoVa builds a five-layer technical architecture from the bottom up: Computing Layer—Data Layer—Semantic Layer—Power Layer—Action Layer. The Computing Layer, based on a distributed collaborative computing architecture, supports efficient parallel processing of cross-domain data; the Data Layer supports efficient computing with multimodal lakehouse storage, relying on an active metadata mechanism to automatically perceive data changes; Semantic Layer: Through unified mapping of heterogeneous fields and multi-identifier entity alignment, it constructs a unified view centered on objects. With the assistance of large AI models for ontology construction, it supports the automatic extraction of domain concepts and relationships from business documents and data dictionaries, upgrading AI from "reading table and field names" to "understanding business entities"; the Power Layer innovatively creates a fusion inference engine with three types: explicit rules + model rules + graph rules, comprehensively covering data analysis needs and supporting zero-code visual modeling. Business personnel can complete rule configuration and model training without programming, shortening the insight cycle to minutes; the Action Layer possesses five major capabilities, including decision simulation, real-time tag calculation, and automatic result feedback, allowing prediction results to be deposited as reusable assets and forming a self-growing closed loop of "Data → Insight → Decision → New Data."

In terms of engineering the full lifecycle of ontology modeling, KnoVa supports international standard ontology languages such as OWL, RDF, and JSON-LD. It possesses full-chain engineering capabilities including syntax compliance detection, semantic logic verification, inference validity testing, version management, and iterative decommissioning. It also supports multi-user real-time collaborative editing, RBAC hierarchical permission control, and standardized integration with enterprise data governance platforms, ensuring that ontology assets are built accurately, managed effectively, and utilized well in enterprise-level scenarios.

Currently, the platform's ontology instantiation scale has reached 206 billion, covering over 1 billion users, with multi-scenario practical verification implemented at the provincial level. For example, the precision rate for service risk identification reaches 80%; anti-fraud non-disturbance efforts have expanded to over 50% more users, yielding significant social and livelihood benefits. Insight and decision-making response times have changed from scheduled days to seconds, and model training and development cycles have shortened from weeks to hours.

The practice of China Mobile Wutong Data · Ontology Intelligence Platform (KnoVa) validates the feasibility and foresight of the "ontology-driven, data and AI integrated" technical route. It serves not only as a paradigm for the large-scale implementation of ontology intelligence technology in the communications industry but also provides a solid path reference and platform support for the digital and intelligent transformation of a wider range of industries. Driven by deep AI empowerment at its core, KnoVa builds the knowledge skeleton of vertical domains through ontology, continuously unleashing new momentum for digital-intelligent transformation across thousands of industries, including communications, finance, industry, government affairs, and healthcare.

Wutong Data · Ontology Intelligence Platform KnoVa — Building the Foundation with Ontology, Weaving a Digital-Intelligent Future.

The "Technical Requirements for Ontology Intelligence Platforms" covers 5 core capability domains and 109 technical clauses, focusing on examining the platform's end-to-end intelligent capabilities in semantic layer construction, dynamic behavior modeling, intelligent decision-making and action, open integration, and operational security; the "Technical Requirements for Ontology Modeling" covers the six full lifecycle stages of requirements analysis, ontology design, ontology implementation, verification testing, deployment and operation, and iterative decommissioning, as well as general capabilities, focusing on testing the platform's engineering implementation capabilities in conceptual modeling, semantic expression, inference support, and semantic interoperability.

We are now open to industry peers for benchmarking verification, capability assessment, and professional evaluation. We sincerely invite relevant institutions and ecosystem partners to participate in evaluation comparisons, using standards as a ruler to verify product strength and using actual measurements as a basis to jointly promote the standardized and high-quality development of the industry.

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