fisa712

Draft RDF or OWL ontologies and schemas for knowledge graph systems using domain descriptions, entity models, or schema requirements.

Analyze and discover paths between entities in knowledge graphs to explain relationships, identify indirect connections, and provide reasoning over traversal...

Diagnose errors in Cypher or SPARQL queries and suggest fixes for syntax issues, schema mismatches, and incorrect graph traversal patterns.

Analyze graph queries and suggest optimizations to improve performance, reduce execution time, and ensure efficient traversal in graph databases.

Create rule-based reasoning systems for knowledge graphs that infer new relationships and facts from existing data using declarative logic rules. Supports de...

Validate knowledge graph schemas and data against defined ontology, RDF/OWL, or property graph schema constraints.

Generate reusable Cypher or SPARQL query templates for common graph database operations such as finding nodes, relationships, paths, and aggregations.

Map GraphQL queries and schemas to underlying graph database operations, enabling applications to access knowledge graph data through GraphQL APIs. Translate...

Connect to JanusGraph distributed graph database to query, manage, and analyze graph data using Apache TinkerPop Gremlin traversal language

Convert JSON documents into RDF triples or graph-ready subject–predicate–object statements for knowledge graphs and semantic databases.

Generate a structured knowledge graph ontology or schema from unstructured or semi-structured text sources.

Connect to TigerGraph distributed graph database to query, load, and manage large-scale knowledge graph data using GSQL and REST++ APIs

Generate declarative mapping rules that transform structured data sources into graph triples or nodes using a domain-specific mapping language similar to R2RML.

Generate graph queries that perform multi-hop traversal and reasoning across relationships in graph databases and knowledge graphs.

Connect to Neo4j graph databases and execute Cypher queries for storing, querying, and managing knowledge graph data using the property graph model. Full sup...

Translate natural language questions into Cypher or SPARQL queries for graph databases and knowledge graphs.

Apply semantic ontology rules to knowledge graphs to infer new relationships, class memberships, and properties from explicit ontology definitions. Supports...

Connect to RDF triple stores and execute SPARQL queries for storing, retrieving, and managing semantic knowledge graph data

Generate production-ready REST API endpoints to expose graph database operations, queries, and data management capabilities

Analyze differences between knowledge graph schema versions and generate migration plans and scripts for safe schema evolution.

Extract entities and relationships from unstructured text and convert them into graph-ready structures such as triples, nodes, and edges.

Compute transitive closure on graphs to infer implicit relationships and expand graphs with logically implied connections. Supports multiple algorithms and c...

Connect to external APIs and ingest data into graph-ready structures for ETL pipelines and knowledge graph construction.

Analyze and trace cause-effect chains in knowledge graphs to identify root causes, trace downstream impacts, and understand dependencies. Supports multiple t...

Generate graph database loaders and triple mappings from CSV datasets. Converts tabular CSV data into graph-ready nodes, edges, and triples for graph databas...

Generate structural, semantic, and property constraints for knowledge graph schemas including RDF/OWL ontologies and property graph models.

Connect to TigerGraph distributed graph database to query, load, and manage large-scale knowledge graph data using GSQL and REST++ APIs