Matches in Ruben’s data for { <https://ruben.verborgh.org/publications/arndt_ruleml_industry_2015/#publication> ?p ?o }
- publication author wim_dereuddre.
- publication author rik_van_de_walle.
- publication author pieter_bonte.
- publication author jeroen_schaballie.
- publication author jabran_bhatti.
- publication author filip_de_turck.
- publication author femke_ongenae.
- publication author erik_mannens.
- publication author dorthe_arndt.
- publication author me.
- publication author me.
- publication creator wim_dereuddre.
- publication creator rik_van_de_walle.
- publication creator pieter_bonte.
- publication creator jeroen_schaballie.
- publication creator jabran_bhatti.
- publication creator filip_de_turck.
- publication creator femke_ongenae.
- publication creator erik_mannens.
- publication creator dorthe_arndt.
- publication creator me.
- publication creator me.
- publication about rules.
- publication about Notation_.
- publication about reasoning.
- publication about SPARQL.
- publication author wim_dereuddre.
- publication author rik_van_de_walle.
- publication author pieter_bonte.
- publication author jeroen_schaballie.
- publication author jabran_bhatti.
- publication author filip_de_turck.
- publication author femke_ongenae.
- publication author erik_mannens.
- publication author dorthe_arndt.
- publication author me.
- publication author me.
- publication coparticipatesWith wim_dereuddre.
- publication coparticipatesWith rik_van_de_walle.
- publication coparticipatesWith pieter_bonte.
- publication coparticipatesWith jeroen_schaballie.
- publication coparticipatesWith jabran_bhatti.
- publication coparticipatesWith filip_de_turck.
- publication coparticipatesWith femke_ongenae.
- publication coparticipatesWith erik_mannens.
- publication coparticipatesWith dorthe_arndt.
- publication coparticipatesWith me.
- publication coparticipatesWith me.
- publication type PublicationVolume.
- publication type ScholarlyArticle.
- publication type Article.
- publication type Document.
- publication type Document.
- publication type Document.
- publication type Q386724.
- publication type CreativeWork.
- publication type Work.
- publication P50 wim_dereuddre.
- publication P50 rik_van_de_walle.
- publication P50 pieter_bonte.
- publication P50 jeroen_schaballie.
- publication P50 jabran_bhatti.
- publication P50 filip_de_turck.
- publication P50 femke_ongenae.
- publication P50 erik_mannens.
- publication P50 dorthe_arndt.
- publication P50 me.
- publication P50 me.
- publication maker wim_dereuddre.
- publication maker rik_van_de_walle.
- publication maker pieter_bonte.
- publication maker jeroen_schaballie.
- publication maker jabran_bhatti.
- publication maker filip_de_turck.
- publication maker femke_ongenae.
- publication maker erik_mannens.
- publication maker dorthe_arndt.
- publication maker me.
- publication maker me.
- publication title "Ontology Reasoning using Rules in an eHealth Context".
- publication isPartOf proceedings_of_the_9th_international_ruleml_symposium.
- publication name "Ontology Reasoning using Rules in an eHealth Context".
- publication label "Ontology Reasoning using Rules in an eHealth Context".
- publication name "Ontology Reasoning using Rules in an eHealth Context".
- publication topic rules.
- publication topic Notation_.
- publication topic reasoning.
- publication topic SPARQL.
- publication subject rules.
- publication subject Notation_.
- publication subject reasoning.
- publication subject SPARQL.
- publication authorList b0_b2814.
- publication topic rules.
- publication topic Notation_.
- publication topic reasoning.
- publication topic SPARQL.
- publication abstract "Traditionally, nurse call systems in hospitals are rather simple: patients have a button next to their bed to call a nurse. Which specific nurse is called cannot be controlled, as there is no extra information available. This is different for solutions based on semantic knowledge: if the state of care givers (busy or free), their current position, and for example their skills are known, a system can always choose the best suitable nurse for a call. In this paper we describe such a semantic nurse call system implemented using the EYE reasoner and Notation3 rules. The system is able to perform OWL-RL reasoning. Additionally, we use rules to implement complex decision trees. We compare our solution to an implementation using OWL-DL, the Pellet reasoner, and SPARQL queries. We show that our purely rule-based approach gives promising results. Further improvements will lead to a mature product which will significantly change the organization of modern hospitals.".
- publication datePublished "2015".
- publication mainEntityOfPage arndt_ruleml_industry_2015.