{"type":"ScholarlyArticle","title":"Qualitative Spatial and Temporal Reasoning: Current Status and Future Challenges","authors":[{"name":"Michael Sioutis","slug":"michael-sioutis","given":"Michael","family":"Sioutis","affiliation":""},{"name":"Diedrich Wolter","slug":"diedrich-wolter","given":"Diedrich","family":"Wolter","affiliation":""}],"abstract":"Qualitative Spatial & Temporal Reasoning (QSTR)\r\nis a major field of study in Symbolic AI that deals\r\nwith the representation and reasoning of spatio-\r\ntemporal information in an abstract, human-like\r\nmanner. We survey the current status of QSTR\r\nfrom a viewpoint of reasoning approaches, and\r\nidentify certain future challenges that we think\r\nthat, once overcome, will allow the field to meet\r\nthe demands of and adapt to real-world, dynamic,\r\nand time-critical applications of highly active areas\r\nsuch as machine learning and data mining.","doi":"10.24963/ijcai.2021/624","url":"https://ijcai.org/proceedings/2021/624","pdf":"https://ijcai.org/proceedings/2021/0624.pdf","markdown":"https://ijcai.org/proceedings/2021/624.md","bibtex":"https://ijcai.org/proceedings/2021/bibtex/624","volume":{"slug":"2021","title":"Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence","short_title":"IJCAI 2021","url":"https://ijcai.org/proceedings/2021/","year":2021,"location":"Montreal","dates":"19-27 August 2021","editors":"Prof. Zhi-Hua Zhou","isbn":"978-0-9992411-9-6","publisher":"International Joint Conferences on Artificial Intelligence Organization","doi_prefix":"10.24963/ijcai.2021"},"section":"Survey Track","track":"Survey Track","number":624,"pages":{"first":4594,"last":4601},"keywords":["Knowledge representation and reasoning: General"],"videos":[],"references":[],"license_note":"Copyright International Joint Conferences on Artificial Intelligence."}