%0 Conference Paper %1 Mendes2013d %A Mendes, David %A Rodrigues, Irene Pimenta %A Baeta, Carlos Fernandes %B Porceedings of KEOD 2013 - International Conference on Knowledge Engineering and Ontology Development - Vilamoura, Portugal %D 2013 %K Ontology %T Development and Population of an Elaborate Formal Ontology for Clinical Practice Knowledge Representation %X We introduce the Ontology for General Clinical Practice (OGCP) for better knowledge representation support in the Clinical Practice domain. We followed the established OBO Foundry principles to leverage the ontological relations that might be present in the ontology axioms we harvest from clinical reports text segments. In accordance to the Ontological Realism principles we expect the reasoning inferred from the ontological relations to render more acceptable consequences then logical relations alone. We enhance the Ontology for General Medical Science (OGMS) with the Computer-Based Patient Record Ontology (CPR) structure and propose knowledge base creation/enhancing automatically extracting from clinical reports written in the, well known to the medical community, SOAP format. Reasoning over the resulting (OGCP) knowledge base with novel parallel algorithms that appeared recently in literature is presented. We finally propose Controlled Natural Language justifications of the inferred knowledge intending to achieve wider acceptance among clinicians.

@inproceedings{Mendes2013d, abstract = {We introduce the \textit{Ontology for General Clinical Practice} \textbf{(OGCP)} for better knowledge representation support in the Clinical Practice domain. We followed the established OBO Foundry principles to leverage the ontological relations that might be present in the ontology axioms we harvest from clinical reports text segments. In accordance to the \emph{Ontological Realism} principles we expect the reasoning inferred from the ontological relations to render more acceptable consequences then logical relations alone. We enhance the \it{Ontology for General Medical Science} \textbf{(OGMS)} with the \textit{Computer-Based Patient Record Ontology} \textbf{(CPR)} structure and propose knowledge base creation/enhancing automatically extracting from clinical reports written in the, well known to the medical community, SOAP format. Reasoning over the resulting \textbf{(OGCP)} knowledge base with novel parallel algorithms that appeared recently in literature is presented. We finally propose \textbf{Controlled Natural Language} justifications of the inferred knowledge intending to achieve wider acceptance among clinicians.}, added-at = {2015-01-14T21:25:14.000+0100}, author = {Mendes, David and Rodrigues, Irene Pimenta and Baeta, Carlos Fernandes}, biburl = {https://www.bibsonomy.org/bibtex/25537a93066319fac405a68b77ce0df27/diverzulu}, booktitle = {Porceedings of KEOD 2013 - International Conference on Knowledge Engineering and Ontology Development - Vilamoura, Portugal}, interhash = {ffbc889352cc9639751c94b51130aaef}, intrahash = {5537a93066319fac405a68b77ce0df27}, keywords = {Ontology}, owner = {David}, quality = {1}, timestamp = {2015-01-14T21:25:14.000+0100}, title = {Development and Population of an Elaborate Formal Ontology for Clinical Practice Knowledge Representation}, year = 2013 }