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#4175 SPARQL Multi-Hop Queries

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#4175 SPARQL Multi-Hop Queries #4175  Describe the various multi-hop queries possible in SPARQL In the context of Knowledge Graphs, a multi-hop query refers to traversing multiple edges (predicates) to find a relationship between entities that are not directly connected. In SPARQL, this is primarily achieved through Property Paths . Property paths allow you to write concise patterns for complex traversals without explicitly naming every intermediate node. 1. Sequence Paths ( / ) The most fundamental multi-hop query. It connects a series of predicates in a specific order. Instead of writing multiple triple patterns, you use a forward slash to "hop" from one property to the next. Logic: Find A that has property p1 leading to B , which has property p2 leading to C . Syntax: ?subject :p1 / :p2 ?object . Example: Finding a person's "Grand-employer" (the company that owns the company they work for): ?person :worksFor / :ownedBy ?parentCompany . 2. Recursive ...
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#4174 Incremental Parametric Generative Design (i.e. Vibe Design)

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#4174 Incremental Parametric Generative Design (i.e. Vibe Design) #4174  Describe incremental parametric generative design Incremental parametric generative design is an advanced engineering and architectural methodology that combines the rules-based logic of parametric modeling with the evolutionary exploration of generative design, executed in an iterative, "step-wise" fashion. Instead of defining a single static solution or running one massive "black box" optimization, this approach evolves a design through successive layers of refinement. 1. The Core Components To understand the hybrid, it helps to see the individual "DNA" of the process: Parametric Design: Uses variables (parameters) and algorithms to define relationships between parts of a design. If you change a "width" parameter, the rest of the geometry updates automatically based on pre-set logic. Generative Design: Uses AI and cloud computing to explore thousands of permutations ba...
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#4173 SPARQL Queries of Hazard Report Knowledge Graph (using RDF conversion)

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#4173 SPARQL Queries of Hazard Report Knowledge Graph (using RDF conversion) #4173  Given the following knowledge graph schema: """ Schema: Entities: Program, Mission, Subsystem, Key_Entity, Hazard_Report, Hazard_Cause, Hazard_Control, Hazard_Verification, Document, Doc_Section Optional: SubProgram, Vehicle, Element, System, Component Relationships: (Program)-[:HAS_MISSION]->(Mission) (Mission)-[:HAS_SUBSYSTEM]->(Subsystem) (Mission)-[:HAS_HAZARD_REPORT]->(Hazard_Report) (Subsystem)-[:HAS_HAZARD_REPORT]->(Hazard_Report) (Key_Entity)-[:REFERENCED_BY]->(Hazard_Report) (Hazard_Report)-[:HAS_CAUSE]->(Hazard_Cause) (Hazard_Cause)-[:HAS_CONTROL]->(Hazard_Control) (Hazard_Control)-[:HAS_VERIFICATION]->(Hazard_Verification) (Mission)-[:HAS_DOC]->(Document) (Hazard_Report)-[:HAS_DOC]->(Document) (Hazard_Cause)-[:HAS_DOC]->(Document) (Hazard_Control)-[:HAS_DOC]->(Document) (Hazard_Verif)-[:HAS_DOC]->(Document) (Key_Entity)-[:HAS_DOC]->(Doc...
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