Market & Reference Ontology
Quotes, trades, order books, prices, venues, identifiers, calendars and corporate actions.
Interactive financial enterprise ontology
Watch raw data become business understanding.
Choose a source, run the six-stage demonstration and see how our ontology engineers turn disconnected records into validated financial knowledge that AI can query, reason over and explain.
Explore the ingestion and domain modules ↓Live semantic transformation
Financial Ontology Builder
Illustrative demonstration • no data leaves your browser
- 01Ingest
- 02Understand
- 03Map
- 04Validate
- 05Connect
- 06Activate
Stage 01 / 06
Ingest the source in real time
Capture price, quote and reference records with full timestamp, venue and source provenance.
Engineering output
Canonical event envelope + source lineageRAWQuote EventFIX 35=W
FIELDsymbolJPM
FIELDprice215.42
FIELDvenueXNYS
ENTITYJPM Common StockListed Equity
CLASSFinancialInstrument
CLASSMarketPrice
CLASSTradingVenue
CLASSObservation
AIContext BrainReason + explain
✓
SHACL validatedProvenance complete · rules satisfied
SignalPrice observation linked to issuer, venue, portfolio exposure and risk
01 — Ingest: We preserve the raw record and attach source, time, rights and lineage before transformation begins.
Ontology for every ingestion domain
Each source gets meaning.
All meaning becomes enterprise.
We design focused ingestion ontologies that normalize each domain, then align them to a governed upper model and the financial enterprise ontology.
Document & Event Ontology
Filings, earnings calls, research, news, announcements, events, evidence and sentiment.
Party & Organization Ontology
Issuers, clients, funds, brokers, beneficial owners, regulators and legal entities.
Order & Transaction Ontology
Orders, executions, allocations, positions, cash flows, settlement and lifecycle status.
Portfolio & Risk Ontology
Holdings, exposures, factors, limits, scenarios, VaR, benchmarks and performance.
Cybersecurity Ontology
Assets, identities, vulnerabilities, threats, attack techniques, controls and incidents.
Obligation & Control Ontology
Regulations, policies, obligations, controls, evidence, reports and jurisdiction.
Signal & Feature Ontology
Indicators, features, models, predictions, confidence, explanations and decisions.
The unified model
Financial Enterprise Ontology
Departmental models remain modular, but share one semantic backbone for identity, time, events, agreements, risk, controls and provenance.
ENTERPRISEFinancial OntologyShared concepts · relations · rules
Party
Instrument
Market
Event
Portfolio
Risk
Cyber
Regulation
OWL semanticsSHACL validationSKOS taxonomyPROV lineageTemporal reasoningGraph APIs
What our engineers deliver
Not a diagram. A production semantic capability.
The ontology package includes the formal models, mappings, governance and runtime services required for enterprise use.
01
Discovery & competency questions
Business decisions, domain scope, use cases, terminology and measurable questions the ontology must answer.
02
OWL ontologies & SKOS taxonomies
Classes, properties, restrictions, controlled vocabularies, annotations and modular imports.
03
Mappings & semantic contracts
Source-to-concept mappings, identifiers, transformation rules, JSON-LD contexts and API contracts.
04
SHACL validation & reasoning
Quality constraints, policy rules, inferred relationships, exception handling and test suites.
05
Knowledge graph & semantic APIs
RDF or property graph deployment, SPARQL/GraphQL, event integration and AI retrieval services.
06
Governance & operating model
Ownership, release workflow, impact analysis, stewardship, adoption, training and version management.
Built and downloadable
SDS Financial Enterprise Ontology 2026.08
Inspect the enterprise entrypoint, ten domain ontologies, SHACL shapes, SKOS vocabularies, mappings, JSON-LD context, sample graph and SPARQL queries.
10domain modules16Turtle files7SHACL shapes4SPARQL queries
Bring your data
We will help your organization understand it.
Start with one high-value domain. Leave with a reusable enterprise semantic foundation.