NL-2-SPARQL: Ontology-Based Natural Language Querying over 3D Point Cloud Knowledge Graphs

Simple item page
dc.contributor.authorCodiglione, Matteoen_US
dc.contributor.authorRemondino, Fabioen_US
dc.contributor.editorCampana, Stefanoen_US
dc.contributor.editorFerdani, Danieleen_US
dc.contributor.editorGraf, Holgeren_US
dc.contributor.editorGuidi, Gabrieleen_US
dc.contributor.editorHegarty, Zackaryen_US
dc.contributor.editorPescarin, Sofiaen_US
dc.contributor.editorRemondino, Fabioen_US
dc.date.accessioned2025-09-05T20:26:28Z
dc.date.available2025-09-05T20:26:28Z
dc.date.issued2025
dc.description.abstractPoint clouds are an asset in a wide range of applications, including heritage monitoring and conservation. However, querying capabilities over such 3D datasets, a fundamental task for their practical usability, is often highly challenging. In particular, difficulties arise when it comes to natural language querying, which can be in turn highly useful in lowering the technical barrier in inspecting 3D point clouds. The present paper explores various approaches for natural language querying over point clouds, leaning for the SPARQL-based query system allowed by the 3DOnt framework for point clouds management, recasting the problem as a natural language to SPARQL translation. After reviewing existing methodologies, we propose NL-2- SPARQL, a novel and flexible neuro-symbolic approach that integrates a Large Language Model (LLM) with a Graph Exploration and Query Building tool (GEQB). We then evaluate this method and demonstrate its application within the 3DOnt framework, highlighting its broader applicability to knowledge graphs in general, beyond this specific 3D-oriented context. A video presentation of the 3DOnt framework is available at https://3dom.fbk.eu/projects/3DOnt.en_US
dc.description.sectionheadersSemantics-driven Interaction with Digitized Heritage
dc.description.seriesinformationDigital Heritage
dc.identifier.doi10.2312/dh.20253280
dc.identifier.isbn978-3-03868-277-6
dc.identifier.pages10 pages
dc.identifier.urihttps://doi.org/10.2312/dh.20253280
dc.identifier.urihttps://diglib.eg.org/handle/10.2312/dh20253280
dc.publisherThe Eurographics Associationen_US
dc.rightsAttribution 4.0 International License
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.subjectOntology, point clouds, LLM, SPARQL, natural language query, NL, Neuro-symbolic
dc.subjectOntology
dc.subjectpoint clouds
dc.subjectLLM
dc.subjectSPARQL
dc.subjectnatural language query
dc.subjectNL
dc.subjectNeuro
dc.subjectsymbolic
dc.titleNL-2-SPARQL: Ontology-Based Natural Language Querying over 3D Point Cloud Knowledge Graphsen_US
Files
Original bundle
Now showing 1 - 1 of 1
Thumbnail Image
Name:
dh20253280.pdf
Size:
5.07 MB
Format:
Adobe Portable Document Format
Download
Collections
Track 05 – Analysis and Interpretation