{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,12,2]],"date-time":"2025-12-02T18:45:10Z","timestamp":1764701110352,"version":"3.41.0"},"publisher-location":"New York, NY, USA","reference-count":26,"publisher":"ACM","license":[{"start":{"date-parts":[[2023,11,13]],"date-time":"2023-11-13T00:00:00Z","timestamp":1699833600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"funder":[{"DOI":"10.13039\/https:\/\/doi.org\/10.13039\/501100000923","name":"Australian Research Council","doi-asserted-by":"publisher","award":["DP230101534"],"award-info":[{"award-number":["DP230101534"]}],"id":[{"id":"10.13039\/https:\/\/doi.org\/10.13039\/501100000923","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2023,11,13]]},"DOI":"10.1145\/3589132.3625597","type":"proceedings-article","created":{"date-parts":[[2023,12,22]],"date-time":"2023-12-22T17:33:25Z","timestamp":1703266405000},"page":"1-4","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":6,"title":["MaaSDB: Spatial Databases in the Era of Large Language Models (Vision Paper)"],"prefix":"10.1145","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-6501-9050","authenticated-orcid":false,"given":"Jianzhong","family":"Qi","sequence":"first","affiliation":[{"name":"School of Computing and Information Systems, The University of Melbourne, Melbourne, Victoria, Australia"}]},{"ORCID":"https:\/\/orcid.org\/0009-0004-7596-571X","authenticated-orcid":false,"given":"Zuqing","family":"Li","sequence":"additional","affiliation":[{"name":"School of Computing and Information Systems, The University of Melbourne, Melbourne, Victoria, Australia"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5014-1969","authenticated-orcid":false,"given":"Egemen","family":"Tanin","sequence":"additional","affiliation":[{"name":"School of Computing and Information Systems, The University of Melbourne, Melbourne, Victoria, Australia"}]}],"member":"320","published-online":{"date-parts":[[2023,12,22]]},"reference":[{"key":"e_1_3_2_1_1_1","doi-asserted-by":"publisher","DOI":"10.1145\/3557915.3560960"},{"key":"e_1_3_2_1_2_1","unstructured":"Yanchuan Chang Egemen Tanin Xin Cao and Jianzhong Qi. 2023. Spatial Structure-Aware Road Network Embedding via Graph Contrastive Learning. In EDBT.  Yanchuan Chang Egemen Tanin Xin Cao and Jianzhong Qi. 2023. Spatial Structure-Aware Road Network Embedding via Graph Contrastive Learning. In EDBT."},{"key":"e_1_3_2_1_3_1","volume-title":"Liwei Jiang, Bill Yuchen Lin, Peter West, Chandra Bhagavatula, Ronan Le Bras, Jena D. Hwang, Soumya Sanyal, Sean Welleck, Xiang Ren, Allyson Ettinger, Zaid Harchaoui, and Yejin Choi.","author":"Dziri Nouha","year":"2023","unstructured":"Nouha Dziri , Ximing Lu , Melanie Sclar , Xiang Lorraine Li , Liwei Jiang, Bill Yuchen Lin, Peter West, Chandra Bhagavatula, Ronan Le Bras, Jena D. Hwang, Soumya Sanyal, Sean Welleck, Xiang Ren, Allyson Ettinger, Zaid Harchaoui, and Yejin Choi. 2023 . Faith and Fate: Limits of Transformers on Compositionality. In NeurIPS. Nouha Dziri, Ximing Lu, Melanie Sclar, Xiang Lorraine Li, Liwei Jiang, Bill Yuchen Lin, Peter West, Chandra Bhagavatula, Ronan Le Bras, Jena D. Hwang, Soumya Sanyal, Sean Welleck, Xiang Ren, Allyson Ettinger, Zaid Harchaoui, and Yejin Choi. 2023. Faith and Fate: Limits of Transformers on Compositionality. In NeurIPS."},{"key":"e_1_3_2_1_4_1","doi-asserted-by":"publisher","DOI":"10.1145\/3588917"},{"key":"e_1_3_2_1_5_1","volume-title":"A Survey on Deep Learning Approaches for Text-to-SQL. VLDB Journal","author":"Katsogiannis-Meimarakis George","year":"2023","unstructured":"George Katsogiannis-Meimarakis and Georgia Koutrika . 2023. A Survey on Deep Learning Approaches for Text-to-SQL. VLDB Journal ( 2023 ). George Katsogiannis-Meimarakis and Georgia Koutrika. 2023. A Survey on Deep Learning Approaches for Text-to-SQL. VLDB Journal (2023)."},{"key":"e_1_3_2_1_6_1","doi-asserted-by":"crossref","unstructured":"Guoliang Li Xuanhe Zhou and Lei Cao. 2021. AI Meets Database: AI4DB and DB4AI. In SIGMOD.  Guoliang Li Xuanhe Zhou and Lei Cao. 2021. AI Meets Database: AI4DB and DB4AI. In SIGMOD.","DOI":"10.1145\/3448016.3457542"},{"key":"e_1_3_2_1_7_1","volume-title":"Human Language Understanding & Reasoning. Daedalus","author":"Manning Christopher D.","year":"2022","unstructured":"Christopher D. Manning . 2022. Human Language Understanding & Reasoning. Daedalus ( 2022 ). Christopher D. Manning. 2022. Human Language Understanding & Reasoning. Daedalus (2022)."},{"key":"e_1_3_2_1_8_1","volume-title":"Preventing Bad Plans by Bounding the Impact of Cardinality Estimation Errors. PVLDB","author":"Moerkotte Guido","year":"2009","unstructured":"Guido Moerkotte , Thomas Neumann , and Gabriele Steidl . 2009. Preventing Bad Plans by Bounding the Impact of Cardinality Estimation Errors. PVLDB ( 2009 ). Guido Moerkotte, Thomas Neumann, and Gabriele Steidl. 2009. Preventing Bad Plans by Bounding the Impact of Cardinality Estimation Errors. PVLDB (2009)."},{"key":"e_1_3_2_1_9_1","doi-asserted-by":"crossref","unstructured":"Mashaal Musleh Mohamed F. Mokbel and Sofiane Abbar. 2022. Let's Speak Trajectories. In SIGSPATIAL.  Mashaal Musleh Mohamed F. Mokbel and Sofiane Abbar. 2022. Let's Speak Trajectories. In SIGSPATIAL.","DOI":"10.1145\/3557915.3560972"},{"key":"e_1_3_2_1_10_1","volume-title":"DTT: An Example-Driven Tabular Transformer by Leveraging Large Language Models. arXiv:2303.06748","author":"Nobari Arash Dargahi","year":"2023","unstructured":"Arash Dargahi Nobari and Davood Rafiei . 2023 . DTT: An Example-Driven Tabular Transformer by Leveraging Large Language Models. arXiv:2303.06748 Arash Dargahi Nobari and Davood Rafiei. 2023. DTT: An Example-Driven Tabular Transformer by Leveraging Large Language Models. arXiv:2303.06748"},{"key":"e_1_3_2_1_11_1","doi-asserted-by":"crossref","unstructured":"Bernd-Uwe Pagel Hans-Werner Six Heinrich Toben and Peter Widmayer. 1993. Towards an Analysis of Range Query Performance in Spatial Data Structures. In PODS.  Bernd-Uwe Pagel Hans-Werner Six Heinrich Toben and Peter Widmayer. 1993. Towards an Analysis of Range Query Performance in Spatial Data Structures. In PODS.","DOI":"10.1145\/153850.153878"},{"key":"e_1_3_2_1_12_1","volume-title":"Data Synthesis Based on Generative Adversarial Networks. PVLDB","author":"Park Noseong","year":"2018","unstructured":"Noseong Park , Mahmoud Mohammadi , Kshitij Gorde , Sushil Jajodia , Hongkyu Park , and Youngmin Kim . 2018. Data Synthesis Based on Generative Adversarial Networks. PVLDB ( 2018 ). Noseong Park, Mahmoud Mohammadi, Kshitij Gorde, Sushil Jajodia, Hongkyu Park, and Youngmin Kim. 2018. Data Synthesis Based on Generative Adversarial Networks. PVLDB (2018)."},{"key":"e_1_3_2_1_13_1","volume-title":"Effectively Learning Spatial Indices. PVLDB","author":"Qi Jianzhong","year":"2020","unstructured":"Jianzhong Qi , Guanli Liu , Christian S. Jensen , and Lars Kulik . 2020. Effectively Learning Spatial Indices. PVLDB ( 2020 ). Jianzhong Qi, Guanli Liu, Christian S. Jensen, and Lars Kulik. 2020. Effectively Learning Spatial Indices. PVLDB (2020)."},{"key":"e_1_3_2_1_14_1","unstructured":"Jianzhong Qi Wei Wang Rui Zhang and Zhuowei Zhao. 2020. A Learning Based Approach to Predict Shortest-Path Distances. In EDBT.  Jianzhong Qi Wei Wang Rui Zhang and Zhuowei Zhao. 2020. A Learning Based Approach to Predict Shortest-Path Distances. In EDBT."},{"key":"e_1_3_2_1_15_1","volume-title":"Nicola De Cao, and Paolo Papotti","author":"Saeed Mohammed","year":"2023","unstructured":"Mohammed Saeed , Nicola De Cao, and Paolo Papotti . 2023 . Querying Large Language Models with SQL. arXiv:2304.00472 Mohammed Saeed, Nicola De Cao, and Paolo Papotti. 2023. Querying Large Language Models with SQL. arXiv:2304.00472"},{"key":"e_1_3_2_1_16_1","unstructured":"Wang-Chiew Tan. 2023. Unstructured and Structured Data: Can We Have the Best of Both Worlds with Large Language Models? arXiv:2304.13010  Wang-Chiew Tan. 2023. Unstructured and Structured Data: Can We Have the Best of Both Worlds with Large Language Models? arXiv:2304.13010"},{"key":"e_1_3_2_1_17_1","volume-title":"From Natural Language Processing to Neural Databases. PVLDB","author":"Thorne James","year":"2021","unstructured":"James Thorne , Majid Yazdani , Marzieh Saeidi , Fabrizio Silvestri , Sebastian Riedel , and Alon Halevy . 2021. From Natural Language Processing to Neural Databases. PVLDB ( 2021 ). James Thorne, Majid Yazdani, Marzieh Saeidi, Fabrizio Silvestri, Sebastian Riedel, and Alon Halevy. 2021. From Natural Language Processing to Neural Databases. PVLDB (2021)."},{"key":"e_1_3_2_1_18_1","doi-asserted-by":"crossref","unstructured":"Giovanni Trappolini Andrea Santilli Emanuele Rodol\u00e0 Alon Halevy and Fabrizio Silvestri. 2023. Multimodal Neural Databases. arXiv:2305.01447  Giovanni Trappolini Andrea Santilli Emanuele Rodol\u00e0 Alon Halevy and Fabrizio Silvestri. 2023. Multimodal Neural Databases. arXiv:2305.01447","DOI":"10.1145\/3539618.3591930"},{"key":"e_1_3_2_1_19_1","unstructured":"Matthias Urban and Carsten Binnig. 2023. Towards Multi-Modal DBMSs for Seamless Querying of Texts and Tables. arXiv:2304.13559  Matthias Urban and Carsten Binnig. 2023. Towards Multi-Modal DBMSs for Seamless Querying of Texts and Tables. arXiv:2304.13559"},{"key":"e_1_3_2_1_20_1","volume-title":"Continuous Visible K Nearest Neighbor Query on Moving Objects. Information Systems","author":"Wang Yanqiu","year":"2014","unstructured":"Yanqiu Wang , Rui Zhang , Chuanfei Xu , Jianzhong Qi , Yu Gu , and Ge Yu. 2014. Continuous Visible K Nearest Neighbor Query on Moving Objects. Information Systems ( 2014 ). Yanqiu Wang, Rui Zhang, Chuanfei Xu, Jianzhong Qi, Yu Gu, and Ge Yu. 2014. Continuous Visible K Nearest Neighbor Query on Moving Objects. Information Systems (2014)."},{"key":"e_1_3_2_1_21_1","volume-title":"Real-time Continuous Intersection Joins over Large Sets of Moving Objects Using Graphic Processing Units. VLDB Journal","author":"Ward Phillip G. D.","year":"2014","unstructured":"Phillip G. D. Ward , Zhen He , Rui Zhang , and Jianzhong Qi. 2014. Real-time Continuous Intersection Joins over Large Sets of Moving Objects Using Graphic Processing Units. VLDB Journal ( 2014 ). Phillip G. D. Ward, Zhen He, Rui Zhang, and Jianzhong Qi. 2014. Real-time Continuous Intersection Joins over Large Sets of Moving Objects Using Graphic Processing Units. VLDB Journal (2014)."},{"key":"e_1_3_2_1_22_1","volume-title":"Clarke","author":"Xue Hao","year":"2022","unstructured":"Hao Xue , Flora D. Salim , Yongli Ren , and Charles L. A . Clarke . 2022 . Translating Human Mobility Forecasting through Natural Language Generation. In WSDM. Hao Xue, Flora D. Salim, Yongli Ren, and Charles L. A. Clarke. 2022. Translating Human Mobility Forecasting through Natural Language Generation. In WSDM."},{"key":"e_1_3_2_1_23_1","volume-title":"Bhanu Prakash Voutharoja, and Flora D. Salim","author":"Xue Hao","year":"2022","unstructured":"Hao Xue , Bhanu Prakash Voutharoja, and Flora D. Salim . 2022 . Leveraging Language Foundation Models for Human Mobility Forecasting. In SIGSPATIAL. Hao Xue, Bhanu Prakash Voutharoja, and Flora D. Salim. 2022. Leveraging Language Foundation Models for Human Mobility Forecasting. In SIGSPATIAL."},{"key":"e_1_3_2_1_24_1","doi-asserted-by":"crossref","unstructured":"Peilun Yang Hanchen Wang Ying Zhang Lu Qin Wenjie Zhang and Xuemin Lin. 2021. T3S: Effective Representation Learning for Trajectory Similarity Computation. In ICDE.  Peilun Yang Hanchen Wang Ying Zhang Lu Qin Wenjie Zhang and Xuemin Lin. 2021. T3S: Effective Representation Learning for Trajectory Similarity Computation. In ICDE.","DOI":"10.1109\/ICDE51399.2021.00221"},{"key":"e_1_3_2_1_25_1","volume-title":"A Neural Database for Differentially Private Spatial Range Queries. PVLDB","author":"Zeighami Sepanta","year":"2022","unstructured":"Sepanta Zeighami , Ritesh Ahuja , Gabriel Ghinita , and Cyrus Shahabi . 2022. A Neural Database for Differentially Private Spatial Range Queries. PVLDB ( 2022 ). Sepanta Zeighami, Ritesh Ahuja, Gabriel Ghinita, and Cyrus Shahabi. 2022. A Neural Database for Differentially Private Spatial Range Queries. PVLDB (2022)."},{"key":"e_1_3_2_1_26_1","volume-title":"Towards a Painless Index for Spatial Objects. ACM Transactions on Database Systems","author":"Zhang Rui","year":"2014","unstructured":"Rui Zhang , Jianzhong Qi , Martin Stradling , and Jin Huang . 2014. Towards a Painless Index for Spatial Objects. ACM Transactions on Database Systems ( 2014 ). Rui Zhang, Jianzhong Qi, Martin Stradling, and Jin Huang. 2014. Towards a Painless Index for Spatial Objects. ACM Transactions on Database Systems (2014)."}],"event":{"name":"SIGSPATIAL '23: 31st ACM International Conference on Advances in Geographic Information Systems","sponsor":["SIGSPATIAL ACM Special Interest Group on Spatial Information"],"location":"Hamburg Germany","acronym":"SIGSPATIAL '23"},"container-title":["Proceedings of the 31st ACM International Conference on Advances in Geographic Information Systems"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3589132.3625597","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3589132.3625597","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T16:36:15Z","timestamp":1750178175000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3589132.3625597"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,11,13]]},"references-count":26,"alternative-id":["10.1145\/3589132.3625597","10.1145\/3589132"],"URL":"https:\/\/doi.org\/10.1145\/3589132.3625597","relation":{},"subject":[],"published":{"date-parts":[[2023,11,13]]},"assertion":[{"value":"2023-12-22","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}