The study of biodiversity spans many disciplines and includes data pertaining to species distributions and abundances, genetic sequences, trait measurements, and ecological niches, complemented by information on collection and measurement protocols. A review of the current landscape of metadata standards and ontologies in biodiversity science suggests that existing standards such as the Darwin Core terminology are inadequate for describing biodiversity data in a semantically meaningful and computationally useful way. Existing ontologies, such as the Gene Ontology and others in the Open (...) Biological and Biomedical Ontologies (OBO) Foundry library, provide a semantic structure but lack many of the necessary terms to describe biodiversity data in all its dimensions. In this paper, we describe the motivation for and ongoing development of a new Biological Collections Ontology, the Environment Ontology, and the Population and Community Ontology. These ontologies share the aim of improving data aggregation and integration across the biodiversity domain and can be used to describe physical samples and sampling processes (for example, collection, extraction, and preservation techniques), as well as biodiversity observations that involve no physical sampling. Together they encompass studies of: 1) individual organisms, including voucher specimens from ecological studies and museum specimens, 2) bulk or environmental samples (e.g., gut contents, soil, water) that include DNA, other molecules, and potentially many organisms, especially microbes, and 3) survey-based ecological observations. We discuss how these ontologies can be applied to biodiversity use cases that span genetic, organismal, and ecosystem levels of organization. We argue that if adopted as a standard and rigorously applied and enriched by the biodiversity community, these ontologies would significantly reduce barriers to data discovery, integration, and exchange among biodiversity resources and researchers. (shrink)

Mind, in pursuing its natural thrust toward knowing reality and knowing itself knowing reality, has too often carried along with itself an empty structure which interferes with its objective. This structure is the ordinary formal-logical categories possible, impossible, contingent, necessary.

Suppose that someone wishes to characterize God as the independent, the creature as the totally dependent. Or suppose that someone wishes to work out in general the implications of the independent vis-à-vis the totally dependent. I take total dependence to entail that B is dependent upon A, but that A is independent of B, that B is dependent on nothing else than A, and that there is nothing in B which is independent of A. Are there other logical patterns which (...) are legitimate renderings of, or at least compatible with, independence: total dependence? (shrink)

Suppose that someone wishes to characterize God as the independent, the creature as the totally dependent. Or suppose that someone wishes to work out in general the implications of the independent vis-à-vis the totally dependent. I take total dependence to entail that B is dependent upon A, but that A is independent of B, that B is dependent on nothing else than A, and that there is nothing in B which is independent of A. Are there other logical patterns which (...) are legitimate renderings of, or at least compatible with, independence: total dependence? (shrink)

Suppose that someone wishes to characterize God as the independent, the creature as the totally dependent. Or suppose that someone wishes to work out in general the implications of the independent vis-à-vis the totally dependent. I take total dependence to entail that B is dependent upon A, but that A is independent of B, that B is dependent on nothing else than A, and that there is nothing in B which is independent of A. Are there other logical patterns which (...) are legitimate renderings of, or at least compatible with, independence: total dependence? (shrink)