On March 14-15, 2006, at the US National Institute of Standards and Technology (NIST) in Gaithersburg, MD there took place the first Upper Ontology Summit (UOS). This was a convening of custodians of several prominent upper ontologies, key technology participants, and interested other parties, with the purpose of finding a means to relate the different ontologies to each other. The result is reflected in a joint communiqué, directed to the larger ontology community and the general public, and expressing a joint (...) intent to build bridges among the existing upper ontologies in ways designed to increase and rationalize their utilization and to enhance their semantic interoperability. (shrink)

The translational research community, in general, and the Clinical and Translational Science Awards (CTSA) community, in particular, share the vision of repurposing EHRs for research that will improve the quality of clinical practice. Many members of these communities are also aware that electronic health records (EHRs) suffer limitations of data becoming poorly structured, biased, and unusable out of original context. This creates obstacles to the continuity of care, utility, quality improvement, and translational research. Analogous limitations to sharing objective data in (...) other areas of the natural sciences have been successfully overcome by developing and using common ontologies. This White Paper presents the authors’ rationale for the use of ontologies with computable semantics for the improvement of clinical data quality and EHR usability formulated for researchers with a stake in clinical and translational science and who are advocates for the use of information technology in medicine but at the same time are concerned by current major shortfalls. This White Paper outlines pitfalls, opportunities, and solutions and recommends increased investment in research and development of ontologies with computable semantics for a new generation of EHRs. (shrink)

Traces the history of Western philosophy through sketches of the lives and thought of the major philosophers and presents Jesus of Nazareth as a victim of self delusion. Bibliogs.

The aim of this dictionary is to provide teachers, students and laymen with clear, concise and correct definitions and descriptions of philosophical terms throughout the range of philosophic thought. In this volume, all branches of schools of ancient, medieval and modern philosophy are represented. This reissue of the 1942 edition, with scores of new entries, is an event widely heralded by both scholars and students. From Aristotelianism to Zoroastrianism, from Abbagnano to Swingli, the new edition of the classic work remains (...) true and valid. While preserving the original material, additions include such well-known names as Martin Buber, Simone de Beauvoir, Ayn Rand, Jean-Paul Sartre, Lionel Trilling, et al. (shrink)

pt. I. Ethics, by J. H. Tufts. Aesthetics, by D. H. Parker. Axiology, by W. M. Urban. Philosophy of law, by Roscoe Pound. Philosophy of history, by J. E. Boodin. Philosophy of science, by V. F. Lenzen. Philosophy of life, by A. N. Whitehead. Metaphysics, by E. W. Hall. Theology and metaphysics, by D. C. Mackintosh.--pt. II. Philosophy of the twentieth century, by Bertrand Russell. Kantianism, by A. C. Ewing. Philosophy of Hegelianism, by Richard Hoenigswald. The humanism of St. Thomas (...) Aquinas, by Jacques Maritain. Transcendental absolutism, by George Santayana. (shrink)

After a recent breakthrough in the early 90's, text analysis is acknowledged as one of the promising ways to rapidly build better grounded semantic resources such as terminologies and ontologies. This domain has recently undergone significant evolutions with a massive reference to machine learning algorithms and information extraction techniques together with linguistic- and statistic-based natural language processing. This position paper promotes three main ideas: (i) that highly domain-specific or task-specific, even idiosyncratic ontologies, are very useful, especially when they are linked (...) to broader consensual schemes and they can be built with reasonable effort; (ii) that corpus-based ontologies can capture the perspective of a domain; and (iii) that supervised ontology learning from text makes feasible the development of specialized ontologies adapted for specific uses. We propose the establishment of an inventory of tools for building ontologies from text, give a first classification of such tools, and present an initial review of some recent methods and tools. (shrink)