SHACL
PulseAugur coverage of SHACL — every cluster mentioning SHACL across labs, papers, and developer communities, ranked by signal.
5 day(s) with sentiment data
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New pipeline automates industrial device configuration using LLMs and ontologies
Researchers have developed SysName, a pipeline designed to automate the configuration of industrial fieldbus devices. This system uses a hybrid retrieval index combined with an ontology graph derived from ECLASS, AAS, a…
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LLM pipeline translates institutional policies into machine-readable knowledge graphs
Researchers have developed PolicyKG, an agentic LLM pipeline designed to convert institutional policies from natural language into machine-readable SHACL knowledge graphs. This system classifies policy sentences into ob…
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New benchmark suite evaluates LLMs for translating natural language to SHACL
Researchers have introduced NL2SHACL-Bench, a new benchmark suite designed to evaluate the translation of natural language requirements into SHACL shapes for validating RDF knowledge graphs. The benchmark was used to as…
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SHACL shape learning formalized with tight complexity bounds
Researchers have developed a fitting approach for learning SHACL shapes, which are crucial for validating data graphs in knowledge graph applications. The study focuses on a core fragment of SHACL that aligns with the D…
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New PULSE language streamlines spatiotemporal knowledge graph engineering
Researchers have developed PULSE, a new executable contract language designed for spatiotemporal knowledge graph engineering. This language aims to consolidate operational roles, observations, and constraints into a sin…
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New SciSchema.org collection standardizes scientific process descriptions
Researchers have introduced SciSchema.org, a collection of 16 schemas designed to standardize the description of scientific processes across various disciplines. These schemas, developed using a human-in-the-loop approa…
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KDAI2026 lecture covers Knowledge Graphs, Neurosymbolic AI, and AI limits
The KDAI2026 final lecture focused on Knowledge Graphs and Neurosymbolic AI, exploring topics such as OWL, SHACL, and hybrid AI approaches. The session also revisited the limitations of AI, discussing concepts like the …
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AI-generated knowledge graphs can be validated using SHACL
This article discusses methods for ensuring the quality of AI-generated knowledge graphs, particularly those using RDF triples. It highlights the challenge of scaling manual human review and proposes using SHACL (Shapes…
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Apache Jena powers AI-native knowledge bases with semantic reasoning
The author proposes using Apache Jena, a framework for building Semantic Web applications, to create an AI-native knowledge base. This approach aims to imbue AI with human-like incremental learning and reasoning capabil…
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New Zealand FOI process modelling ontology released
Researchers have developed FOI-O, a new ontology and verification framework designed to model and analyze processes related to Freedom of Information (FOI) requests. This system, specifically tailored for New Zealand's …
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RDF/OWL vs. Property Graphs: Choosing the Right Semantic Architecture for AI Agents
This article explores the decision-making process for architects choosing between RDF/OWL and property graphs for agentic AI systems. It argues that the core question isn't which technology is superior, but rather the n…
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Agent memory needs ontologies, but teams often confuse two distinct types
Building agent memory systems requires careful consideration of ontologies, which can be approached in two distinct ways. The first, ontology-as-extraction-schema, involves using constrained vocabularies within prompts …
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New method infers property graph schemas after transformations
Researchers have developed a new method for inferring schema constraints in property graphs after transformations. This approach uses a reasoning procedure that takes an input schema and a transforming query to infer an…
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New system automates AI compliance with programmable knowledge blocks
Researchers have developed Ontological Knowledge Blocks (OKBs), a new system designed to make AI compliance more automated and scalable. OKBs translate regulatory obligations into machine-checkable constraints using str…
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Researchers explore static analysis of recursive SHACL for RDF data validation
This paper introduces a novel approach to the static analysis of recursive SHACL documents, which are used to define constraints on RDF data. The research investigates the decidability of determining if all graphs valid…
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TIO-SHACL framework offers comprehensive validation for TMF Intent Ontologies
Researchers have developed TIO-SHACL, a new framework for validating TMF Intent Ontologies, which are used in intent-based networking for telecommunications. This system provides comprehensive SHACL validation, includin…