{"type":"ScholarlyArticle","title":"Predicting Knowledge in an Ontology Stream","authors":[{"name":"Freddy Lécué","slug":"freddy-lecue","given":"Freddy","family":"Lecue","affiliation":""},{"name":"Jeff Z. Pan","slug":"jeff-z-pan","given":"Jeff Z.","family":"Pan","affiliation":""}],"abstract":"Recently, ontology stream reasoning has been introduced as a multidisciplinary approach, merging synergies from Artificial Intelligence, Database, World-Wide-Web to reason on semantic augmented data streams. Although knowledge evolution and real-time reasoning have been largely addressed in ontology streams, the challenge of predicting its future (or missing) knowledge remains open and yet unexplored. We tackle predictive reasoning as a correlation and interpretation of past semantics-augmented data over exogenous ontology streams. Consistent predictions are constructed as Description Logics entailments by selecting and applying relevant cross-streams association rules. The experiments have shown accurate prediction with real and live stream data from Dublin City in Ireland.","doi":null,"url":"https://ijcai.org/proceedings/2013/392","pdf":"https://ijcai.org/proceedings/2013/0392.pdf","markdown":"https://ijcai.org/proceedings/2013/392.md","bibtex":"https://ijcai.org/proceedings/2013/bibtex/392","volume":{"slug":"2013","title":"Proceedings of the Twenty-Third International Joint Conference on Artificial Intelligence","short_title":"IJCAI 2013","url":"https://ijcai.org/proceedings/2013/","year":2013,"location":"Beijing, China","dates":"3–9 August 2013","editors":"Francesca Rossi","isbn":"978-1-57735-633-2","publisher":"AAAI Press / International Joint Conferences on Artificial Intelligence","doi_prefix":""},"section":null,"track":"","number":392,"pages":{"first":2662,"last":2668},"keywords":[],"videos":[],"references":[],"license_note":"Copyright International Joint Conferences on Artificial Intelligence."}