SPARQL Professional RDF Pipeline — ShurAI Advisory Board

76K

76,000+

RDF Triples in Production

76K+

RDF Triples

OWL Classes

Properties

Companies Tracked

Days Pipeline Active

Nightly Automated Pipeline

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Web Scraping

SerpAPI + Firecrawl collect fresh data for 21 companies nightly

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Scoring

5-dimension SBPI scoring across Content, Reach, Momentum, Innovation, Strategy

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RDF Conversion

Scores + metadata converted to OWL-compliant RDF triples

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Triplestore

Oxigraph ingests validated triples with SHACL shape checks

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Predictions

Autoresearch generates next-week predictions from accumulated data

Fully Automated Nightly Execution

Pipeline runs unattended every night. Data collection, scoring, RDF conversion, triplestore loading, and prediction generation require zero manual intervention. Each cycle adds approximately 500+ new triples to the knowledge graph.

Ontology Details

OWL Ontology

Classes 12

Object Properties 10

Data Properties 12

Format Turtle (.ttl)

Triplestore Oxigraph

SHACL Validation Layer

Purpose Data Quality Gate

Validation Every Load Cycle

Shape Constraints Property + Value

Rejects Malformed Triples

Coverage All 12 Classes

5 SBPI Scoring Dimensions

Content Volume Platform Reach Market Momentum Innovation Signal Strategic Positioning

13-Day Pipeline Activity

Mar 21

Data collection

Mar 22

Data collection

Mar 23

Scoring + RDF

Mar 24

Data collection

Mar 25

Scoring + RDF

Mar 26

Data collection

Mar 27

Scoring + RDF

Mar 28

Data collection

Mar 29

Validation + predictions

Mar 30

Data collection

Mar 31

Scoring + RDF

Apr 1

Data collection

Apr 2

Validation + predictions

Data Collection

Scoring + RDF Conversion

Validation + Predictions