@conference {ICBO_2018_10,
	title = {ICBO_2018_10: Standardization of the Histopathology Cancer Report: An Ontological Approach},
	booktitle = {International Conference on Biomedical Ontology (ICBO 2018)},
	series = {Proceedings of the International Conference on Biological Ontology (2018)},
	year = {2018},
	month = {08/06/2018},
	publisher = {International Conference on Biological Ontology},
	organization = {International Conference on Biological Ontology},
	abstract = {<p>In recent years, the complexity of cancer pathology reporting has increased significantly. The pathology report covers not only general information such as the presence or absence of cancer, but includes a collection of specific parameters such as tumor size, grade, margin, lymphatic or vascular involvement as well as molecular testing e.g. proteomics and genomics (Figure 1). Soon, biomarkers and immune profiling will play an increasingly more important role in determining the eligibility for particular therapies, along with genetic predisposition and social risk factors. The increased use of digital pathology, which allows streamlined sharing of images, has highlighted the importance of clear communication of the information displayed in the pathology report. In the past years, significant effort has been devoted to redefining the way that histopathology report information is recorded. The College of American Pathologists (CAP) (http://www.cap.org/), a leading organization of board-certified pathologists, introduced synoptic cancer reports, a structured checklist to standardize clinical documentation. Despite continuous improvement and generation of electronic reports, formal representation [1] is still lacking. This lack of standardization limits the ability to integrate pathology information with other genomic and proteomic data and often results in loss of information.</p>
},
	keywords = {Cancer, Histopathology Cancer, Histopathology report, Ontology, pathology, Pathology standard, Tumor},
	url = {http://ceur-ws.org/Vol-2285/ICBO_2018_paper_10.pdf},
	author = {Anna Maria Masci and Shannon McCall and Alessandro Racioppi and Helena Judge Ellis and Jihad S. Obeid and Barry Smith and Christian Stoeckert and Jie Zheng}
}
@conference {ICBO_2018_24,
	title = {ICBO_2018_24: eXtensible ontology development (XOD) using web-based Ontoanimal tools},
	booktitle = {International Conference on Biomedical Ontology (ICBO 2018)},
	series = {Proceedings of the International Conference on Biological Ontology (2018)},
	year = {2018},
	month = {08/06/2018},
	publisher = {International Conference on Biological Ontology},
	organization = {International Conference on Biological Ontology},
	abstract = {<p>The eXtensible ontology development (XOD) strategy proposes four principles to support interoperable and robust ontology development. These principles include ontology term reuse, semantic alignment, design pattern usage, and community extensibility. In this software demo, we show how Ontoanimal tools (e.g., Ontofox, Ontodog, Ontorat, and Ontokiwi) can be used to support the implementation of these XOD principles. The development of the Cell Line Ontology (CLO) is used for the demonstration.</p>
},
	keywords = {Cell Line Ontology, CLO, eXtensible ontology development, Ontodog, Ontofox, Ontokiwi, Ontorat, XOD},
	url = {http://ceur-ws.org/Vol-2285/ICBO_2018_paper_24.pdf },
	author = {Edison Ong and Yongqun He and Jie Zheng}
}
