Education of trainees and dissemination to the broader biomedical community are highly interrelated tasks. Our dissemination goal is to educate our colleagues in the biomedical community about the use of ontology-oriented tools in general and about the Center's technology in particular. NCBO differs from other current NCBCs because our computational technology is only as useful as the ontological content that our technology supports. NCBO thus has a special obligation to promote the construction of useful, reliable, scalable, and easily maintainable ontologies, which are at the same time biologically accurate. The NCBO seeks to transform the work of developing and using biomedical ontologies into an enterprise that is supported by computational tools that allow biomedical researchers to capture the benefits of instantaneous global collaboration made possible through the Web. Our dissemination efforts thus concentrate both on making technology available in ways that allow users to gain access to ontologies and to other formal representations of biomedical knowledge, and on assisting the community in building ontologies that are well-structured, coherently integrated, and useful to biomedical researchers. The latter is achieved by promoting maximally effective retrieval, integration, and exploitation of data and information.
| Kamdar, Maulik R; Walk, Simon; Tudorache, Tania et al. (2018) Analyzing user interactions with biomedical ontologies: A visual perspective. Web Semant 49:16-30 |
| van der Weyden, Louise; Arends, Mark J; Campbell, Andrew D et al. (2017) Genome-wide in vivo screen identifies novel host regulators of metastatic colonization. Nature 541:233-236 |
| Kamdar, Maulik R; Musen, Mark A (2017) Mechanism-based Pharmacovigilance over the Life Sciences Linked Open Data Cloud. AMIA Annu Symp Proc 2017:1014-1023 |
| Kamdar, Maulik R; Walk, Simon; Tudorache, Tania et al. (2017) BiOnIC: A Catalog of User Interactions with Biomedical Ontologies. Semant Web ISWC 10588:130-138 |
| MartÃnez-Romero, Marcos; O'Connor, Martin J; Shankar, Ravi D et al. (2017) Fast and Accurate Metadata Authoring Using Ontology-Based Recommendations. AMIA Annu Symp Proc 2017:1272-1281 |
| MartÃnez-Romero, Marcos; Jonquet, Clement; O'Connor, Martin J et al. (2017) NCBO Ontology Recommender 2.0: an enhanced approach for biomedical ontology recommendation. J Biomed Semantics 8:21 |
| Kamdar, Maulik R; Musen, Mark A (2017) PhLeGrA: Graph Analytics in Pharmacology over the Web of Life Sciences Linked Open Data. Proc Int World Wide Web Conf 2017:321-329 |
| van der Weyden, Louise; Karp, Natasha A; Swiatkowska, Agnieszka et al. (2017) Genome wide in vivo mouse screen data from studies to assess host regulation of metastatic colonisation. Sci Data 4:170129 |
| Ochs, Christopher; Perl, Yehoshua; Geller, James et al. (2017) An empirical analysis of ontology reuse in BioPortal. J Biomed Inform 71:165-177 |
| Mortensen, Jonathan M; Telis, Natalie; Hughey, Jacob J et al. (2016) Is the crowd better as an assistant or a replacement in ontology engineering? An exploration through the lens of the Gene Ontology. J Biomed Inform 60:199-209 |
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