{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,8,29]],"date-time":"2025-08-29T00:03:00Z","timestamp":1756425780105,"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: Existing relaxation works either focus on ontology-based or entity-based elements, leaving a gap in handling queries that combine both. The purpose of this paper is to fill this gap and relax real-world SPARQL queries combining ontology-based and entity-based techniques to retrieve top-k relevant results. Methodology: We propose a hybrid query relaxation solution with a ranking system based on information content, integrating ontology-based and entity-based strategies by extending similarity measures beyond classes to entities and literals. Findings: The model retrieves relevant top-k results and better aligns with user expectations across diverse query types. It effectively ranks relaxed queries involving ontology-based and instance-based relaxations. Value: This work introduces a unified relaxation framework and an evaluation benchmark grounded in human-judgment-based relevance. It advances the literature by providing a relaxation system that aligns closely with user-validated relevance, especially for queries involving annotations.<\/jats:p>","DOI":"10.3233\/ssw250020","type":"book-chapter","created":{"date-parts":[[2025,8,28]],"date-time":"2025-08-28T08:05:48Z","timestamp":1756368348000},"source":"Crossref","is-referenced-by-count":0,"title":["SHARP: A Hybrid Approach for SPARQL Query Relaxation"],"prefix":"10.3233","author":[{"ORCID":"https:\/\/orcid.org\/0009-0009-8510-0724","authenticated-orcid":false,"given":"Ginwa","family":"Fakih","sequence":"first","affiliation":[{"name":"LS2N, UMR 6004, Nantes Universit\u00e9, 44300 Nantes, France"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2367-5361","authenticated-orcid":false,"given":"Patricia","family":"Serrano-Alvarado","sequence":"additional","affiliation":[{"name":"LS2N, UMR 6004, Nantes Universit\u00e9, 44300 Nantes, France"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8019-0830","authenticated-orcid":false,"given":"Matthieu","family":"Perrin","sequence":"additional","affiliation":[{"name":"LS2N, UMR 6004, Nantes Universit\u00e9, 44300 Nantes, France"}]}],"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\/SSW250020","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,8,28]],"date-time":"2025-08-28T08:05:48Z","timestamp":1756368348000},"score":1,"resource":{"primary":{"URL":"https:\/\/ebooks.iospress.nl\/doi\/10.3233\/SSW250020"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,8,26]]},"ISBN":["9781643686165"],"references-count":0,"URL":"https:\/\/doi.org\/10.3233\/ssw250020","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]]}}}