{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,17]],"date-time":"2026-06-17T05:57:35Z","timestamp":1781675855685,"version":"3.54.5"},"publisher-location":"Cham","reference-count":15,"publisher":"Springer Nature Switzerland","isbn-type":[{"value":"9783032056061","type":"print"},{"value":"9783032056078","type":"electronic"}],"license":[{"start":{"date-parts":[[2025,9,8]],"date-time":"2025-09-08T00:00:00Z","timestamp":1757289600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2025,9,8]],"date-time":"2025-09-08T00:00:00Z","timestamp":1757289600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2026]]},"DOI":"10.1007\/978-3-032-05607-8_27","type":"book-chapter","created":{"date-parts":[[2025,9,7]],"date-time":"2025-09-07T20:30:32Z","timestamp":1757277032000},"page":"289-300","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Schema-Based Inference for\u00a0Query Expansion and\u00a0Completion over\u00a0Knowledge Graphs"],"prefix":"10.1007","author":[{"given":"Bartolome","family":"Ortiz-Viso","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Karel","family":"Guti\u00e9rrez-Batista","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"M. Dolores","family":"Ruiz","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Maria J.","family":"Martin-Bautista","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2025,9,8]]},"reference":[{"key":"27_CR1","doi-asserted-by":"publisher","unstructured":"Angles, R., Gutierrez, C.: Survey of graph database models. ACM Comput. Surv. 40, 1:1\u20131:39 (2008). https:\/\/doi.org\/10.1145\/1322432.1322433","DOI":"10.1145\/1322432.1322433"},{"key":"27_CR2","unstructured":"Sharma, C., Genev\u00e8s, P., Gesbert, N., Laya\u00efda, N.: Schema-Based Query Optimisation for Graph Databases (2024). https:\/\/arxiv.org\/abs\/2403.01863. Publisher: arXiv Version Number: 2"},{"key":"27_CR3","doi-asserted-by":"publisher","unstructured":"Francis, N., et\u00a0al.: Cypher: an evolving query language for property graphs. In: Proceedings of the 2018 International Conference on Management of Data, pp. 1433\u20131445 (2018). https:\/\/doi.org\/10.1145\/3183713.3190657. Conference Name: SIGMOD\/PODS \u201918: International Conference on Management of Data ISBN: 9781450347037 Place: Houston TX USA Publisher: ACM","DOI":"10.1145\/3183713.3190657"},{"key":"27_CR4","doi-asserted-by":"publisher","unstructured":"Tim\u00f3n-Reina, S., Rinc\u00f3n, M. & Mart\u00ednez-Tom\u00e1s, R.: An overview of graph databases and their applications in the biomedical domain. Database 2021, baab026 (2021). https:\/\/doi.org\/10.1093\/database\/baab026","DOI":"10.1093\/database\/baab026"},{"key":"27_CR5","doi-asserted-by":"publisher","unstructured":"Mazein, I., et al.: Graph databases in systems biology: a systematic review. Briefings Bioinform. 25, bbae561 (2024). https:\/\/doi.org\/10.1093\/bib\/bbae561","DOI":"10.1093\/bib\/bbae561"},{"key":"27_CR6","doi-asserted-by":"crossref","unstructured":"International Balkan University, Skopje, North Macedonia, Muminovic, A. & Halili, F. Money laundering prevention in the digital age: Leveraging graph databases for effective solutions. Int. J. Tech. Nat. Sci. 4, 1\u201310 (2024). https:\/\/ijtns.ibupress.com\/uploads\/2024\/07\/ibu_journal_ijtns-1.pdf","DOI":"10.69648\/FLMQ7572"},{"key":"27_CR7","doi-asserted-by":"crossref","unstructured":"Almabdy, S.: Comparative analysis of relational and graph databases for social networks. In: 2018 1st International Conference on Computer Applications & Information Security (ICCAIS), pp. 1\u20134 (2018). https:\/\/ieeexplore.ieee.org\/document\/8441982\/. Conference Name: 2018 1st International Conference on Computer Applications & Information Security (ICCAIS) ISBN: 9781538644270 Place: Riyadh Publisher: IEEE","DOI":"10.1109\/CAIS.2018.8441982"},{"key":"27_CR8","doi-asserted-by":"publisher","unstructured":"Fan, W., et al.: A Survey on RAG Meeting LLMs: Towards Retrieval-Augmented Large Language Models, pp. 6491\u20136501. ACM. Barcelona Spain (2024). https:\/\/doi.org\/10.1145\/3637528.3671470","DOI":"10.1145\/3637528.3671470"},{"key":"27_CR9","unstructured":"Tang, Y., Yang, Y.: MultiHop-RAG: Benchmarking Retrieval-Augmented Generation for Multi-Hop Queries (2024). https:\/\/arxiv.org\/abs\/2401.15391. Publisher: arXiv Version Number: 1"},{"key":"27_CR10","doi-asserted-by":"crossref","unstructured":"Sawarkar, K., Mangal, A., Solanki, S.R.: Blended RAG: improving rag (retriever-augmented generation) accuracy with semantic search and hybrid query-based retrievers. In: 2024 IEEE 7th International Conference on Multimedia Information Processing and Retrieval (MIPR), pp. 155\u2013161 (2024). https:\/\/ieeexplore.ieee.org\/document\/10707868\/. Conference Name: 2024 IEEE 7th International Conference on Multimedia Information Processing and Retrieval (MIPR) ISBN: 9798350351422 Place: San Jose, CA, USA Publisher: IEEE","DOI":"10.1109\/MIPR62202.2024.00031"},{"key":"27_CR11","unstructured":"Wu, J., et\u00a0al.: Medical Graph RAG: Towards Safe Medical Large Language Model via Graph Retrieval-Augmented Generation (2024). https:\/\/arxiv.org\/abs\/2408.04187. Publisher: arXiv Version Number: 2"},{"key":"27_CR12","unstructured":"Ren, H., Galkin, M., Cochez, M., Zhu, Z., Leskovec, J.: Neural Graph Reasoning: Complex Logical Query Answering Meets Graph Databases (2023). https:\/\/arxiv.org\/abs\/2303.14617. Publisher: arXiv Version Number: 1"},{"key":"27_CR13","doi-asserted-by":"crossref","unstructured":"Monteiro, J., S\u00e1, F., Bernardino, J.: Experimental evaluation of graph databases: JanusGraph, Nebula Graph, Neo4j, and TigerGraph. Appl. Sci. 13, 5770 (2023). https:\/\/www.mdpi.com\/2076-3417\/13\/9\/5770","DOI":"10.3390\/app13095770"},{"key":"27_CR14","unstructured":"Grattafiori, A., et al.: The Llama 3 Herd of Models (2024). http:\/\/arxiv.org\/abs\/2407.21783. ArXiv:2407.21783 [cs]"},{"key":"27_CR15","doi-asserted-by":"crossref","unstructured":"Reimers, N., Gurevych, I.: Sentence-BERT: Sentence embeddings using Siamese BERT-networks. Association for Computational Linguistics (2019). https:\/\/arxiv.org\/abs\/1908.10084","DOI":"10.18653\/v1\/D19-1410"}],"container-title":["Lecture Notes in Computer Science","Flexible Query Answering Systems"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-032-05607-8_27","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,6,17]],"date-time":"2026-06-17T05:42:06Z","timestamp":1781674926000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-032-05607-8_27"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,9,8]]},"ISBN":["9783032056061","9783032056078"],"references-count":15,"URL":"https:\/\/doi.org\/10.1007\/978-3-032-05607-8_27","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"value":"0302-9743","type":"print"},{"value":"1611-3349","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025,9,8]]},"assertion":[{"value":"8 September 2025","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"FQAS","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Flexible Query Answering Systems","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Burgas","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Bulgaria","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2025","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"11 September 2025","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"13 September 2025","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"16","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"fqas2025","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/fqas2025.uniburgas.bg\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}