https://w3id.org/np/RAQHkc1Ng2rJLNWKc2Igyc1Uw8EXjkEHWftsIrUpeO6Ts/Head https://w3id.org/np/RAQHkc1Ng2rJLNWKc2Igyc1Uw8EXjkEHWftsIrUpeO6Ts http://www.nanopub.org/nschema#hasAssertion https://w3id.org/np/RAQHkc1Ng2rJLNWKc2Igyc1Uw8EXjkEHWftsIrUpeO6Ts/assertion https://w3id.org/np/RAQHkc1Ng2rJLNWKc2Igyc1Uw8EXjkEHWftsIrUpeO6Ts http://www.nanopub.org/nschema#hasProvenance https://w3id.org/np/RAQHkc1Ng2rJLNWKc2Igyc1Uw8EXjkEHWftsIrUpeO6Ts/provenance https://w3id.org/np/RAQHkc1Ng2rJLNWKc2Igyc1Uw8EXjkEHWftsIrUpeO6Ts http://www.nanopub.org/nschema#hasPublicationInfo https://w3id.org/np/RAQHkc1Ng2rJLNWKc2Igyc1Uw8EXjkEHWftsIrUpeO6Ts/pubinfo https://w3id.org/np/RAQHkc1Ng2rJLNWKc2Igyc1Uw8EXjkEHWftsIrUpeO6Ts http://www.w3.org/1999/02/22-rdf-syntax-ns#type http://www.nanopub.org/nschema#Nanopublication https://w3id.org/np/RAQHkc1Ng2rJLNWKc2Igyc1Uw8EXjkEHWftsIrUpeO6Ts/assertion https://doi.org/10.48550/arXiv.2508.21491 http://purl.org/dc/terms/title Geospatial Qestion Answering on Historical Maps Using Spatio-Temporal Knowledge Graphs and Large Language Models https://doi.org/10.48550/arXiv.2508.21491 http://purl.org/spar/cito/describes https://neverblink.eu/ontologies/llm-kg/methods#SpatioTemporalGeoQASystem https://doi.org/10.48550/arXiv.2508.21491 http://purl.org/spar/cito/discusses https://neverblink.eu/ontologies/llm-kg/methods#LangChainLLMAgent https://doi.org/10.48550/arXiv.2508.21491 http://www.w3.org/1999/02/22-rdf-syntax-ns#type http://www.w3.org/ns/prov#Entity https://neverblink.eu/ontologies/llm-kg/methods#LangChainLLMAgent http://www.w3.org/1999/02/22-rdf-syntax-ns#type http://purl.org/spar/fabio/Workflow https://neverblink.eu/ontologies/llm-kg/methods#LangChainLLMAgent http://www.w3.org/2000/01/rdf-schema#label LangChain LLM agent https://neverblink.eu/ontologies/llm-kg/methods#SpatioTemporalGeoQASystem http://purl.org/dc/terms/subject https://neverblink.eu/ontologies/llm-kg/categories#LLMAugmentedKGQuestionAnswering https://neverblink.eu/ontologies/llm-kg/methods#SpatioTemporalGeoQASystem http://www.w3.org/1999/02/22-rdf-syntax-ns#type http://purl.org/spar/fabio/Workflow https://neverblink.eu/ontologies/llm-kg/methods#SpatioTemporalGeoQASystem http://www.w3.org/2000/01/rdf-schema#comment This method describes a comprehensive GeoQA system that integrates a constructed spatio-temporal knowledge graph (KG) with large language models (LLMs). LLMs are utilized to convert natural language questions into SPARQL queries, perform query validation, decompose complex descriptive questions, and generate natural language answers by reasoning over KG-retrieved facts and additional contextual information. The core goal is to enhance question answering capabilities over historical geospatial KGs. https://neverblink.eu/ontologies/llm-kg/methods#SpatioTemporalGeoQASystem http://www.w3.org/2000/01/rdf-schema#label Spatio-Temporal GeoQA System https://neverblink.eu/ontologies/llm-kg/methods#SpatioTemporalGeoQASystem https://neverblink.eu/ontologies/llm-kg/hasTopCategory https://neverblink.eu/ontologies/llm-kg/top-categories#LLMAugmentedKG https://w3id.org/np/RAQHkc1Ng2rJLNWKc2Igyc1Uw8EXjkEHWftsIrUpeO6Ts/provenance https://w3id.org/np/RAQHkc1Ng2rJLNWKc2Igyc1Uw8EXjkEHWftsIrUpeO6Ts/assertion http://www.w3.org/ns/prov#wasAttributedTo https://neverblink.eu/ontologies/llm-kg/agent https://w3id.org/np/RAQHkc1Ng2rJLNWKc2Igyc1Uw8EXjkEHWftsIrUpeO6Ts/assertion http://www.w3.org/ns/prov#wasDerivedFrom https://doi.org/10.48550/arXiv.2508.21491 https://w3id.org/np/RAQHkc1Ng2rJLNWKc2Igyc1Uw8EXjkEHWftsIrUpeO6Ts/pubinfo https://w3id.org/np/RAQHkc1Ng2rJLNWKc2Igyc1Uw8EXjkEHWftsIrUpeO6Ts http://purl.org/dc/terms/created 2026-02-26T16:13:59.178Z https://w3id.org/np/RAQHkc1Ng2rJLNWKc2Igyc1Uw8EXjkEHWftsIrUpeO6Ts http://purl.org/dc/terms/creator https://neverblink.eu/ontologies/llm-kg/agent https://w3id.org/np/RAQHkc1Ng2rJLNWKc2Igyc1Uw8EXjkEHWftsIrUpeO6Ts http://purl.org/nanopub/x/hasNanopubType https://neverblink.eu/ontologies/llm-kg/PaperAssessmentResult https://w3id.org/np/RAQHkc1Ng2rJLNWKc2Igyc1Uw8EXjkEHWftsIrUpeO6Ts http://www.w3.org/2000/01/rdf-schema#label LLM-KG assessment for paper 10.48550/arXiv.2508.21491 https://w3id.org/np/RAQHkc1Ng2rJLNWKc2Igyc1Uw8EXjkEHWftsIrUpeO6Ts/sig http://purl.org/nanopub/x/hasAlgorithm RSA https://w3id.org/np/RAQHkc1Ng2rJLNWKc2Igyc1Uw8EXjkEHWftsIrUpeO6Ts/sig http://purl.org/nanopub/x/hasPublicKey MIIBIjANBgkqhkiG9w0BAQEFAAOCAQ8AMIIBCgKCAQEAwNz2QK3SEifno78S7+48zUB0xpTex3mAzW73ZimHqNcdEMU5/apslrGrTHGFAt/Chocgo++r6JQp5ygY7NyJHGWdaIqnt85pjX4PbNfLAvapyUO00qZP34fY61w4eZ9UMtleWEsmZKRtQPyJ8ODl46i/rfPuZlcJGpM9Nmy5mpGWuepqIEvF4a/t7pLVeCEDFSYXT+yaiygt6ynIK5f7TtEDhZpeUf/Q74WhMPJXm4yTU/hqOX4IW+50kWHNArGGZwUaXwzyG6M3Zd6UMModryGkLqS4H/MSE3ZA1Ylnms7BfWLEXhMWlaKi6HRV4nGRDLhxVSi9LSRi3LWKLhNIIQIDAQAB https://w3id.org/np/RAQHkc1Ng2rJLNWKc2Igyc1Uw8EXjkEHWftsIrUpeO6Ts/sig http://purl.org/nanopub/x/hasSignature S38r84fDBMBlUnA9n6a4C3d9rj3ToV5i40PYFMjI1QLIqrHL8YlQAFxM1GtFrlljSwqFtr/hEyza/ypAd6agM9QiGAJVDH7wpYd5thCuWjD1Zx5wrce7IspafLQx7ol0tkm+xUpCMpyLh28X0ZOZjW6R7UQoy+sgeL1h2sZ+DiaiqkTAHG5iZyEhGdG1BD6iHn1wIycqSM/J/tCY/UC+J9sb9IPUVBDMePTTxsV62cgmF8m/uG3X/6aHjBFtfy5tkra8HKIj8TxFPI7GoNfvp6V/kfkr/q0WISpTl3hUgQw6Fm0dGVkOIEcklQXs1EFcTRlOs5701FaUOX0ODhZDgA== https://w3id.org/np/RAQHkc1Ng2rJLNWKc2Igyc1Uw8EXjkEHWftsIrUpeO6Ts/sig http://purl.org/nanopub/x/hasSignatureTarget https://w3id.org/np/RAQHkc1Ng2rJLNWKc2Igyc1Uw8EXjkEHWftsIrUpeO6Ts https://w3id.org/np/RAQHkc1Ng2rJLNWKc2Igyc1Uw8EXjkEHWftsIrUpeO6Ts/sig http://purl.org/nanopub/x/signedBy https://neverblink.eu/ontologies/llm-kg/agent