Concepts and Synonymy in the UMLS Metathesaurus

Merrill, Gary F.

doi:10.5210/disco.v4i0.2663

Cited by 8 publications

References 27 publications

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Integrating knowledge representation and quantitative modelling in physiology

Bono

Hunter

2012

Biotechnology Journal

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A wealth of potentially shareable resources, such as data and models, is being generated through the study of physiology by computational means. Although in principle the resources generated are reusable, in practice, few can currently be shared. A key reason for this disparity stems from the lack of consistent cataloguing and annotation of these resources in a standardised manner. Here, we outline our vision for applying community-based modelling standards in support of an automated integration of models across physiological systems and scales. Two key initiatives, the Physiome Project and the European contribution - the Virtual Phsysiological Human Project, have emerged to support this multiscale model integration, and we focus on the role played by two key components of these frameworks, model encoding and semantic metadata annotation. We present examples of biomedical modelling scenarios (the endocrine effect of atrial natriuretic peptide, and the implications of alcohol and glucose toxicity) to illustrate the role that encoding standards and knowledge representation approaches, such as ontologies, could play in the management, searching and visualisation of physiology models, and thus in providing a rational basis for healthcare decisions and contributing towards realising the goal of of personalized medicine.

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Integrating knowledge representation and quantitative modelling in physiology

Bono

Hunter

2012

Biotechnology Journal

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Understanding Design Concept Identification

Chiu

Salustri

2014

Design Computing and Cognition '12

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In the design literature, the term design concept is often used de facto, or with only a brief definition provided. Despite the cursory definition for concept, the design process rests heavily on concepts, e.g., brainstorming and generating multiple design concepts, and subsequently identifying design concepts for concept selection, evaluation and development, etc. Concepts and concept formation are of particular interest in psychology, as concepts play a central role in human cognition. Concepts and concept identification are also of interest in other fields such as archaeology, bioinformatics and education. In this paper, we explore the process of design concept identification and address the issue of identifying design concepts in free-form text. Our exploratory experiment uses text transcripts of verbal concept generation sessions to first investigate agreeability between human concept identifiers. Next, we perform a language analysis on the transcripts to uncover language patterns that may differentiate between text segments containing concepts and text segments not containing concepts. Our results show that humans are adept at identifying and agreeing upon concepts (average agreeability > 0.70), and that there are significant language differences that may distinguish concept segments from non-concept segments (i.e., non-concept segments have significantly more verbs and borderline significantly more self-references than concept segments). In general, automated concept identification may lead to better integration of early conceptual design with more detailed and computable downstream processes, resulting in a unified design workflow.Highly refined example: They've got this em Batavus Buster. Medium refined example:It's like an old bike basket that way like the Wizard of Oz.

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Ontology, Ontologies, and Science

Merrill

2011

Topoi

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Philosophers frequently struggle with the relation of metaphysics to the everyday world, with its practical value, and with its relation to empirical science. This paper distinguishes several different models of the relation between philosophical ontology and applied (scientific) ontology that have been advanced in the history of philosopy. Adoption of a strong participation model for the philosophical ontologist in science is urged, and requirements and consequences of the participation model are explored. This approach provides both a principled view and justification of the role of the philosophical ontologist in contemporary empirical science as well as guidelines for integrating philosophers and philosophical contributions into the practice of science.

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Concepts and Synonymy in the UMLS Metathesaurus

Cited by 8 publications

References 27 publications

Integrating knowledge representation and quantitative modelling in physiology

Integrating knowledge representation and quantitative modelling in physiology

Understanding Design Concept Identification

Ontology, Ontologies, and Science

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