{"type":"ScholarlyArticle","title":"Automatically Inferring Database Schemas","authors":[{"name":"Sitaram Lanka","slug":"sitaram-lanka","given":"Sitaram","family":"Lanka","affiliation":""}],"abstract":"The &oal of this research is to investi&ate the possibility of automatically inferring a database schema. Our motivation is to make the task of the database designer easier. We require the designer only to provide a picture of how sfhe expects the database to be used .. This is provided in the form of natural language quertes which the database might be expected to answer. The system synthesises a schema from this information. The above problem can be viewed as a problem in learnin& . The inference method we are proposin& incrementally constructs the schema. The central idea of the inference mechanism is that it exploits certain features occurring in naturallan&uages, namely, the syntactic: structure of senteo ceil .","doi":null,"url":"https://ijcai.org/proceedings/1985/126","pdf":"https://ijcai.org/proceedings/1985/0126.pdf","markdown":"https://ijcai.org/proceedings/1985/126.md","bibtex":"https://ijcai.org/proceedings/1985/bibtex/126","volume":{"slug":"1985","title":"Proceedings of the Ninth International Joint Conference on Artificial Intelligence","short_title":"IJCAI 1985","url":"https://ijcai.org/proceedings/1985/","year":1985,"location":"Los Angeles, California, USA","dates":"","editors":"Aravind Joshi","isbn":"","publisher":"International Joint Conferences on Artificial Intelligence","doi_prefix":""},"section":"Learning and Acquisition","track":"Learning and Acquisition","number":126,"pages":{"first":647,"last":648},"keywords":[],"videos":[],"references":[],"license_note":"Copyright International Joint Conferences on Artificial Intelligence."}