{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,8]],"date-time":"2026-03-08T02:20:48Z","timestamp":1772936448266,"version":"3.50.1"},"publisher-location":"Singapore","reference-count":15,"publisher":"Springer Nature Singapore","isbn-type":[{"value":"9789819564255","type":"print"},{"value":"9789819564262","type":"electronic"}],"license":[{"start":{"date-parts":[[2026,1,1]],"date-time":"2026-01-01T00:00:00Z","timestamp":1767225600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2026,1,1]],"date-time":"2026-01-01T00:00:00Z","timestamp":1767225600000},"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\/978-981-95-6426-2_46","type":"book-chapter","created":{"date-parts":[[2026,3,7]],"date-time":"2026-03-07T08:06:24Z","timestamp":1772870784000},"page":"523-530","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["DSRAG: A Domain-Specific Retrieval Framework Based on\u00a0Document-Derived Multimodal Knowledge Graph"],"prefix":"10.1007","author":[{"given":"Mengzheng","family":"Yang","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yanfei","family":"Ren","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"David Osei","family":"Opoku","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ruochang","family":"Li","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Peng","family":"Ren","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Chunxiao","family":"Xing","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2026,4,1]]},"reference":[{"issue":"1","key":"46_CR1","first-page":"1","volume":"3","author":"Y Gu","year":"2021","unstructured":"Gu, Y., Tinn, R., Cheng, H., et al.: Domain-specific language model pretraining for biomedical natural language processing. ACM Trans. Comput. Healthc. (HEALTH) 3(1), 1\u201323 (2021)","journal-title":"ACM Trans. Comput. Healthc. (HEALTH)"},{"issue":"12","key":"46_CR2","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1145\/3571730","volume":"55","author":"Z Ji","year":"2023","unstructured":"Ji, Z., Lee, N., Frieske, R., et al.: Survey of hallucination in natural language generation. ACM Comput. Surv. 55(12), 1\u201338 (2023)","journal-title":"ACM Comput. Surv."},{"issue":"4","key":"46_CR3","doi-asserted-by":"publisher","first-page":"1413","DOI":"10.1109\/TKDE.2023.3310002","volume":"36","author":"L Hu","year":"2023","unstructured":"Hu, L., Liu, Z., Zhao, Z., et al.: A survey of knowledge enhanced pre-trained language models. IEEE Trans. Knowl. Data Eng. 36(4), 1413\u20131430 (2023)","journal-title":"IEEE Trans. Knowl. Data Eng."},{"issue":"7972","key":"46_CR4","doi-asserted-by":"publisher","first-page":"172","DOI":"10.1038\/s41586-023-06291-2","volume":"620","author":"K Singhal","year":"2023","unstructured":"Singhal, K., Azizi, S., Tu, T., et al.: Large language models encode clinical knowledge. Nature 620(7972), 172\u2013180 (2023)","journal-title":"Nature"},{"key":"46_CR5","first-page":"9459","volume":"33","author":"P Lewis","year":"2020","unstructured":"Lewis, P., Perez, E., Piktus, A., et al.: Retrieval-augmented generation for knowledge-intensive NLP tasks. Adv. Neural. Inf. Process. Syst. 33, 9459\u20139474 (2020)","journal-title":"Adv. Neural. Inf. Process. Syst."},{"key":"46_CR6","doi-asserted-by":"crossref","unstructured":"Barnett, S., Kurniawan, S., Thudumu, S., et al.: Seven failure points when engineering a retrieval augmented generation system. In: Proceedings of the IEEE\/ACM 3rd International Conference on AI Engineering-Software Engineering for AI, pp. 194\u2013199 (2024)","DOI":"10.1145\/3644815.3644945"},{"key":"46_CR7","unstructured":"Peng, B., Zhu, Y., Liu, Y., et al.: Graph retrieval-augmented generation: a survey. arXiv preprint arXiv:2408.08921 (2024)"},{"key":"46_CR8","doi-asserted-by":"publisher","DOI":"10.1016\/j.jnca.2021.103076","volume":"185","author":"B Abu-Salih","year":"2021","unstructured":"Abu-Salih, B.: Domain-specific knowledge graphs: a survey. J. Netw. Comput. Appl. 185, 103076 (2021)","journal-title":"J. Netw. Comput. Appl."},{"key":"46_CR9","doi-asserted-by":"crossref","unstructured":"Yin, H., Huang, S., Wang, Z., Ye, Y., Zhu, W.: An generative entity relation extraction model based on UIE for legal text. In: International Conference on Web Information Systems and Applications, pp. 91\u201399. Springer, Cham (2024)","DOI":"10.1007\/978-981-97-7707-5_8"},{"key":"46_CR10","doi-asserted-by":"crossref","unstructured":"Ding, Y., Yu, J., Liu, B., et al.: Mukea: multimodal knowledge extraction and accumulation for knowledge-based visual question answering. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, pp. 5089\u20135098 (2022)","DOI":"10.1109\/CVPR52688.2022.00503"},{"issue":"4","key":"46_CR11","doi-asserted-by":"publisher","DOI":"10.1016\/j.ipm.2025.104101","volume":"62","author":"M Sheng","year":"2025","unstructured":"Sheng, M., Wang, S., Zhang, Y., et al.: MQRLD: a multimodal data retrieval platform with query-aware feature representation and learned index based on data lake. Inf. Process. Manage. 62(4), 104101 (2025)","journal-title":"Inf. Process. Manage."},{"key":"46_CR12","doi-asserted-by":"crossref","unstructured":"Sarmah, B., Mehta, D., Hall, B., et al.: Hybridrag: integrating knowledge graphs and vector retrieval augmented generation for efficient information extraction. In: Proceedings of the 5th ACM International Conference on AI in Finance, pp. 608\u2013616 (2024)","DOI":"10.1145\/3677052.3698671"},{"key":"46_CR13","doi-asserted-by":"crossref","unstructured":"Opoku, D.O., Sheng, M., Zhang, Y.: Do-rag: a domain-specific qa framework using knowledge graph-enhanced retrieval-augmented generation. arXiv preprint arXiv:2505.17058 (2025)","DOI":"10.36227\/techrxiv.174837976.69904638\/v1"},{"key":"46_CR14","unstructured":"PingCAP: Tidb autoflow (2023). https:\/\/github.com\/pingcap\/autoflow. Accessed 28 Apr 2025"},{"key":"46_CR15","unstructured":"InfiniFlow: Ragflow (2024). https:\/\/www.ragflow.io\/. Accessed 28 Apr 2025"}],"container-title":["Lecture Notes in Computer Science","Web Information Systems and Applications"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-981-95-6426-2_46","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,3,7]],"date-time":"2026-03-07T08:06:26Z","timestamp":1772870786000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-981-95-6426-2_46"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026]]},"ISBN":["9789819564255","9789819564262"],"references-count":15,"URL":"https:\/\/doi.org\/10.1007\/978-981-95-6426-2_46","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"value":"0302-9743","type":"print"},{"value":"1611-3349","type":"electronic"}],"subject":[],"published":{"date-parts":[[2026]]},"assertion":[{"value":"1 April 2026","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"WISA","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Web Information Systems and Applications","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Xi'an","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"China","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":"1 October 2025","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"1 October 2025","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"22","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"wisa22025","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/www.ccf.org.cn\/Chapters\/TC\/TC_Listing\/TCIS_\/tzzw\/2025-02-21\/838214.shtml","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}