{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,8,28]],"date-time":"2025-08-28T08:40:23Z","timestamp":1756370423314,"version":"3.44.0"},"reference-count":0,"publisher":"IOS Press","isbn-type":[{"value":"9781643686165","type":"electronic"}],"license":[{"start":{"date-parts":[[2025,8,26]],"date-time":"2025-08-26T00:00:00Z","timestamp":1756166400000},"content-version":"unspecified","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2025,8,26]]},"abstract":"<jats:p>Purpose: The purpose of this paper is to explore whether ontologies can improve LLM-based document-level relation extraction (docRE) for knowledge graph (KG) construction. In particular, the authors are interested in harnessing semantics in LLM-supported docRE for KG construction and retrieving the docRE-relevant ontology segment of an ontology. Methodology: To explore how ontologies can improve LLM-based docRE for KG construction, the paper provides GrOWL-RAG, a framework consisting of an Ontology RAG to provide structured domain knowledge and reasoning capabilities as prompt context. The authors evaluate GrOWL-RAG on Re-DocRED benchmark data with promising precision results and conduct an ablation study with LLMs. Findings: The paper shows value add of GrOWL-RAG under an ablation study. In this paper, the authors identify multiple fields for further development of this approach, such as improving performance, extending GrOWL-RAG with ontology embeddings, and exploring different ontology types. Value: Integrating ontologies into RAG is a relatively unexplored field in which this paper shines light on for the task of docRE. Further, GrOWL-RAG is an LLM-based approach for docRE without the need for training or finetuning. The authors publish code and input files along with a new ontology for the docRE test set Re-DocRED to support docRE research utilizing ontologies. This paper sets the stage for further discussions of this topic.<\/jats:p>","DOI":"10.3233\/ssw250006","type":"book-chapter","created":{"date-parts":[[2025,8,28]],"date-time":"2025-08-28T08:05:28Z","timestamp":1756368328000},"source":"Crossref","is-referenced-by-count":0,"title":["Document-Level Relation Extraction with Ontology-Guided RAG"],"prefix":"10.3233","author":[{"given":"Wilma Johanna","family":"Schmidt","sequence":"first","affiliation":[{"name":"Corporate Research, Robert Bosch GmbH, Renningen, Germany"},{"name":"AG Corporate Semantic Web, Freie Universit\u00e4t Berlin, Berlin, Germany"}]},{"given":"Diego","family":"Rincon-Yanez","sequence":"additional","affiliation":[{"name":"ADAPT Centre, School of Computer Science and Statistics, Trinity College Dublin, Dublin, Ireland"},{"name":"Universidad de Santander, Facultad de Ingenier\u00edas y Tecnolog\u00edas, Cucuta, Colombia"}]},{"given":"Irlan","family":"Grangel-Gonz\u00e1lez","sequence":"additional","affiliation":[{"name":"Corporate Research, Robert Bosch GmbH, Renningen, Germany"}]},{"given":"Adrian","family":"Paschke","sequence":"additional","affiliation":[{"name":"Data Analytic Center (DANA), Fraunhofer Institute FOKUS, Berlin, Germany"},{"name":"AG Corporate Semantic Web, Freie Universit\u00e4t Berlin, Berlin, Germany"}]},{"given":"Evgeny","family":"Kharlamov","sequence":"additional","affiliation":[{"name":"Corporate Research, Robert Bosch GmbH, Renningen, Germany"}]}],"member":"7437","container-title":["Studies on the Semantic Web","Linking Meaning: Semantic Technologies Shaping the Future of AI"],"original-title":[],"link":[{"URL":"https:\/\/ebooks.iospress.nl\/pdf\/doi\/10.3233\/SSW250006","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,8,28]],"date-time":"2025-08-28T08:05:28Z","timestamp":1756368328000},"score":1,"resource":{"primary":{"URL":"https:\/\/ebooks.iospress.nl\/doi\/10.3233\/SSW250006"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,8,26]]},"ISBN":["9781643686165"],"references-count":0,"URL":"https:\/\/doi.org\/10.3233\/ssw250006","relation":{},"ISSN":["1868-1158","2215-0870"],"issn-type":[{"value":"1868-1158","type":"print"},{"value":"2215-0870","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025,8,26]]}}}