{"type":"ScholarlyArticle","title":"Ontology-Mediated Query Answering: Harnessing Knowledge to Get More from Data","authors":[{"name":"Meghyn Bienvenu","slug":"meghyn-bienvenu","given":"Meghyn","family":"Bienvenu","affiliation":""}],"abstract":"Ontology-mediated query answering (OMQA) is a new paradigm in data management that seeks to exploit the semantic knowledge expressed in ontologies to improve query answering over data. This paper briefly introduces OMQA and gives an overview of two recent lines of research.","doi":null,"url":"https://ijcai.org/proceedings/2016/600","pdf":"https://ijcai.org/proceedings/2016/0600.pdf","markdown":"https://ijcai.org/proceedings/2016/600.md","bibtex":"https://ijcai.org/proceedings/2016/bibtex/600","volume":{"slug":"2016","title":"Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence","short_title":"IJCAI 2016","url":"https://ijcai.org/proceedings/2016/","year":2016,"location":"New York, NY, USA","dates":"9–15 July 2016","editors":"Subbarao Kambhampati","isbn":"978-1-57735-770-4; 978-1-57735-771-1","publisher":"AAAI Press / International Joint Conferences on Artificial Intelligence","doi_prefix":""},"section":null,"track":"","number":600,"pages":{"first":4058,"last":4060},"keywords":[],"videos":[],"references":[],"license_note":"Copyright International Joint Conferences on Artificial Intelligence."}