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ENTITY SPARQL

SPARQL

PulseAugur coverage of SPARQL — every cluster mentioning SPARQL across labs, papers, and developer communities, ranked by signal.

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RECENT · PAGE 1/1 · 19 TOTAL
  1. TOOL · CL_199649 ·

    Open Ontologies: Rust MCP Server for AI-Native Ontology Engineering

    The Tesseract Academy has released Open Ontologies, a Rust-based MCP server designed for AI agents to engineer production-grade OWL ontologies. This toolchain offers significant performance improvements over traditional…

  2. TOOL · CL_193309 ·

    New methodology validates semantic mappings using metaphysical ontology commitments

    Researchers have developed a new methodology for validating semantic mappings between disparate data sources. This approach is grounded in the metaphysical commitments of the ontologies themselves, offering a novel fram…

  3. RESEARCH · CL_191208 ·

    New benchmark ENTLORE tests latent organizational reasoning in enterprise QA · 6 sources tracked

    Researchers have introduced ENTLORE, a new benchmark designed to evaluate latent organizational reasoning in enterprise question answering systems. This framework reconstructs enterprise structures from documents and or…

  4. TOOL · CL_191205 ·

    New LLM Knowledge Base GPTKB 2.0 Improves Entity Disambiguation

    Researchers have developed GPTKB 2.0, a knowledge base derived from a large language model that addresses the issue of entity disambiguation. This new system constructs a knowledge base with 38.4 million triples and ove…

  5. TOOL · CL_174220 ·

    New FICE model offers fully inductive cardinality estimation for knowledge graphs

    Researchers have developed FICE, a novel graph neural network designed for fully inductive cardinality estimation in SPARQL queries over knowledge graphs. Unlike previous methods that require retraining for new or modif…

  6. TOOL · CL_167590 ·

    New GRISP method uses SLM for SPARQL question answering over knowledge graphs

    Researchers have developed GRISP, a new method for question answering over knowledge graphs using a fine-tuned small language model (SLM). GRISP generates a SPARQL query skeleton from natural language questions and then…

  7. TOOL · CL_157183 ·

    KDAI2026 lecture covers SPARQL, DBpedia vs Wikidata, and OWL

    This item details lecture number 11 of KDAI2026, focusing on SPARQL interrogation tactics. The lecture covered FILTER, REGEX, OPTIONAL, UNION, negation, BIND, and GROUP BY aggregates. It also included a comparison of DB…

  8. TOOL · CL_156273 ·

    ProbSPARQL extends SPARQL for uncertain numeric data in knowledge graphs

    Researchers have developed ProbSPARQL, an extension to the SPARQL query language designed to handle uncertain and multi-dimensional numeric data within knowledge graphs. This new system addresses limitations in current …

  9. TOOL · CL_154269 ·

    New framework uses LLMs for natural language access to domain-specific archives

    Researchers have developed a reusable framework called Natural Language Knowledge Graph Query (NLKGQ) that enables users to query domain-specific archives using natural language. The system leverages Large Language Mode…

  10. RESEARCH · CL_147792 ·

    MARS system integrates LLMs with knowledge graphs for KGQA without fine-tuning

    Researchers have developed MARS, a novel approach for knowledge graph question answering (KGQA) that integrates large language models (LLMs) with knowledge graphs (KGs) without requiring model fine-tuning. MARS employs …

  11. RESEARCH · CL_147476 ·

    SAGA framework enhances agentic text-to-SPARQL generation with schema awareness

    Researchers have introduced SAGA, a novel framework designed to improve agentic text-to-SPARQL generation for knowledge base question answering. SAGA addresses the issue of "type-blind grounding" in existing language mo…

  12. TOOL · CL_144341 ·

    KDAI2026 session covers RDF stack from statements to inference

    This week's KDAI2026 session focused on the RDF stack, covering typed literals, blank nodes, and Turtle syntax. The lecture also delved into RDFS, exploring classes, domains, ranges, subclass hierarchies, model-theoreti…

  13. COMMENTARY · CL_122076 ·

    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…

  14. COMMENTARY · CL_122077 ·

    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 …

  15. RESEARCH · CL_77161 ·

    AI tool MetaConfigurator aids scientists in converting JSON data to RDF

    Researchers have developed MetaConfigurator, an AI-assisted tool designed to help scientists convert structured JSON data into RDF (Resource Description Framework) for improved semantic interoperability. The system inte…

  16. TOOL · CL_65791 ·

    New DeSQ framework simplifies SPARQL query generation for KBQA

    Researchers have introduced DeSQ, a new framework for generating SPARQL queries for Knowledge Base Question Answering (KBQA). DeSQ decomposes complex questions into atomic constraints, maps these to SPARQL fragments, an…

  17. TOOL · CL_56232 ·

    LLM framework MetaboT simplifies metabolomics data analysis

    Researchers have developed MetaboT, an open-source multi-agent framework utilizing Large Language Models (LLMs) to simplify the analysis of mass spectrometry-based metabolomics data. This framework translates natural la…

  18. TOOL · CL_15910 ·

    LLM agents generate graph queries with constraint-guided Chase & Backchase

    Researchers have developed UniQGen, a new framework for generating graph queries using large language model agents. This approach extends the Chase & Backchase algorithm to dynamically extract and refine query clauses, …

  19. RESEARCH · CL_11464 ·

    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…