@article{e05d559e4df64d6894cb558978b44a3b,
  title    = "Description logics with approximate definitions precise modeling of vague concepts",
  abstract = "We extend traditional Description Logics (DL) with a simple mechanism to handle approximate concept definitions in a qualitative way. Often, for example in medical applications, concepts are not definable in a crisp way but can fairly exhaustively be constrained through a particular sub- and a particular super-concept. We introduce such lower and upper approximations based on rough-set semantics, and show that reasoning in these languages can be reduced to standard DL satisfiability. This allows us to apply Rough Description Logics in a study of medical trials about sepsis patients, which is a typical application for precise modeling of vague knowledge. The study shows that Rough DL-based reasoning can be done in a realistic use case and that modeling vague knowledge helps to answer important questions in the design of clinical trials.",
  author   = "Stefan Schlobach and Michel Klein and Linda Peelen",
  year     = "2007",
  pages    = "557--562",
  journal  = "IJCAI International Joint Conference on Artificial Intelligence",
  issn     = "1045-0823",
}

{"_id":"4outGGoyNWJcdwzjX","bibbaseid":"schlobach-klein-peelen-descriptionlogicswithapproximatedefinitionsprecisemodelingofvagueconcepts-2007","downloads":0,"creationDate":"2015-10-21T11:54:41.931Z","title":"Description logics with approximate definitions precise modeling of vague concepts","author_short":["Schlobach, S.","Klein, M.","Peelen, L."],"year":2007,"bibtype":"article","biburl":"https://raw.githubusercontent.com/KRRVU/website/master/publications/krr.bib","bibdata":{"bibtype":"article","type":"article","title":"Description logics with approximate definitions precise modeling of vague concepts","abstract":"We extend traditional Description Logics (DL) with a simple mechanism to handle approximate concept definitions in a qualitative way. Often, for example in medical applications, concepts are not definable in a crisp way but can fairly exhaustively be constrained through a particular sub- and a particular super-concept. We introduce such lower and upper approximations based on rough-set semantics, and show that reasoning in these languages can be reduced to standard DL satisfiability. This allows us to apply Rough Description Logics in a study of medical trials about sepsis patients, which is a typical application for precise modeling of vague knowledge. The study shows that Rough DL-based reasoning can be done in a realistic use case and that modeling vague knowledge helps to answer important questions in the design of clinical trials.","author":[{"firstnames":["Stefan"],"propositions":[],"lastnames":["Schlobach"],"suffixes":[]},{"firstnames":["Michel"],"propositions":[],"lastnames":["Klein"],"suffixes":[]},{"firstnames":["Linda"],"propositions":[],"lastnames":["Peelen"],"suffixes":[]}],"year":"2007","pages":"557–562","journal":"IJCAI International Joint Conference on Artificial Intelligence","issn":"1045-0823","bibtex":"@article{e05d559e4df64d6894cb558978b44a3b,\n title = \"Description logics with approximate definitions precise modeling of vague concepts\",\n abstract = \"We extend traditional Description Logics (DL) with a simple mechanism to handle approximate concept definitions in a qualitative way. Often, for example in medical applications, concepts are not definable in a crisp way but can fairly exhaustively be constrained through a particular sub- and a particular super-concept. We introduce such lower and upper approximations based on rough-set semantics, and show that reasoning in these languages can be reduced to standard DL satisfiability. This allows us to apply Rough Description Logics in a study of medical trials about sepsis patients, which is a typical application for precise modeling of vague knowledge. The study shows that Rough DL-based reasoning can be done in a realistic use case and that modeling vague knowledge helps to answer important questions in the design of clinical trials.\",\n author = \"Stefan Schlobach and Michel Klein and Linda Peelen\",\n year = \"2007\",\n pages = \"557--562\",\n journal = \"IJCAI International Joint Conference on Artificial Intelligence\",\n issn = \"1045-0823\",\n}\n\n\n","author_short":["Schlobach, S.","Klein, M.","Peelen, L."],"key":"e05d559e4df64d6894cb558978b44a3b","id":"e05d559e4df64d6894cb558978b44a3b","bibbaseid":"schlobach-klein-peelen-descriptionlogicswithapproximatedefinitionsprecisemodelingofvagueconcepts-2007","role":"author","urls":{},"metadata":{"authorlinks":{}},"downloads":0},"search_terms":["description","logics","approximate","definitions","precise","modeling","vague","concepts","schlobach","klein","peelen"],"keywords":[],"authorIDs":[],"dataSources":["H6xuGqu5uQ6rXhdJ4","dJmTXpbSWWjnxatYT"]}