Evaluation of LOINC semantic coverage for coding clinical observations related to environmental influenced diseases [chapter]

Maria Teresa Chiaravalloti
2022 Knowledge Organization and Management in the Domain of Environment and Earth Observation (KOMEEO)  
Durham Zoo (DZ) is a project to create a search-and-innovation engine for science and technology. The engine has been designed to capture the knowledge of experts from different areas of expertise via the classification of the literature. The architecture combines the higher-level cognition of humans and their powers of language, abstraction, of inference and analogy, with the storage and processing power of computers. The system is adapted for searching both what already exists, and novel
more » ... ions to problems. To be built and operated by the community, the goal is to democratize innovation whilst funding societal causes such as climate-change mitigation or the search for new antibiotics. The original design, first published in Absalom and Absalom (2012), relied upon fuzzy and faceted classification. The fuzziness related to the similarity of concepts in each of the facets. A search query would be matched with the literature in multiple facets to retrieve holistically similar literature, or to suggest a solution to a problem from elsewhere in technology or the natural world. The facets used to describe a concept in science and technology included a problem and a solution. A recent reappraisal of the project design recognised the potential of causality for modelling and matching problems. This paper proposes a design compatible with the crowdsourced classification.
doi:10.5771/9783956508752-67 fatcat:blbxnehbejedhae4v3vji2gq6e