@conference {IP11,
	title = {IP11: Uc_Sense: An Ontology for Scientifically-based Unambiguous Characterization of Sensory Experiences},
	booktitle = {International Conference on Biomedical Ontology and BioCreative (ICBO BioCreative 2016)},
	series = {Proceedings of the Joint International Conference on Biological Ontology and BioCreative (2016)},
	year = {2016},
	month = {11/30/16},
	publisher = {CEUR-ws.org Volume 1747},
	organization = {CEUR-ws.org Volume 1747},
	abstract = {<p>Recent efforts in biological ontology go to great lengths to unambiguously categorize biological entities and phenomena of the natural world, as well as their relationships with each other. This paper illustrates the importance of unambiguously characterizing the perception of entities relative to biological apparati required for specific modes of sensing, physiological conduction of sensed experiences, along with subjective interpretation and communication of sensed experiences. In addition to building a computable knowledge base around existing sensory science, ontological modelling of this aspect of biology will enable an increased understanding about alternate perceptions of identical stimuli. Leveraging this understanding to modulate desired behavior toward increased health and happiness outcomes is a fundamental goal of this project.</p>
},
	url = {http://ceur-ws.org/Vol-1747/IP11_ICBO2016.pdf},
	author = {Aaron Baer and Matthew Lange}
}
@conference {BIT104,
	title = {BIT104: Cardiovascular Health and Physical Activity: A Model for Health Promotion and Decision Support Ontologies},
	booktitle = {International Conference on Biomedical Ontology and BioCreative (ICBO BioCreative 2016)},
	series = {Proceedings of the Joint International Conference on Biological Ontology and BioCreative (2016)},
	year = {2016},
	month = {11/30/16},
	publisher = {CEUR-ws.org Volume 1747},
	organization = {CEUR-ws.org Volume 1747},
	abstract = {<p>Current cardiovascular disease decision support systems (DSS) rely primarily on ontologies that characterize and quantify disease, recommending appropriate pharmacotherapy (PT) and/or surgical interventions (SI). PubMed and Google Scholar searches reveal no specific ontologies or literature related to DSS for recommending physical activity (PA) and diet interventions (DI) for cardiovascular health and fitness (CVHF) improvement. This dearth of CVHF-PA/DI structured knowledge repositories has resulted in a scarcity of user-friendly tools for scientifically validated information retrieval about CVHF improvement. Advancement of health science depends on timely development and implementation of health (rather than disease) ontologies. We developed a time-efficient workflow for constructing/maintaining structured knowledge repositories capable of providing informational underpinnings for CVHF- PA/DI ontologies and DSS that support health promotion, including precise, personalized exercise prescription. This workflow creates conceptual lattices about effects of varied PA on CVHF. These conceptual maps lay the foundation for accelerated creation of health-focused ontologies, which ultimately equip DSS with CVHF knowledge related PA and DI.</p>
},
	url = {http://ceur-ws.org/Vol-1747/BIT104_ICBO2016.pdf},
	author = {Vimala Ponna and Aaron Baer and Matthew Lange}
}
