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Threshold Determination and Engaging Materials Scientists in Ontology Design
Conference proceeding   Peer reviewed

Threshold Determination and Engaging Materials Scientists in Ontology Design

Jane Greenberg, Yue Zhang, Adrian Ogletree, Garritt J. Tucker and Daniel Foley
METADATA AND SEMANTICS RESEARCH, MTSR 2015, v 544, pp 39-50
01 Jan 2015

Abstract

Computer Science Computer Science, Artificial Intelligence Computer Science, Information Systems Computer Science, Interdisciplinary Applications Computer Science, Theory & Methods Robotics Science & Technology Technology
This paper reports on research exploring a threshold for engaging scientists in semantic ontology development. The domain application, nanocrystalline metals, was pursued using a multi-method approach involving algorithm comparison, semantic concept/term evaluation, and term sorting. Algorithms from four open source term extraction applications (RAKE, Tagger, Kea, and Maui) were applied to a test corpus of preprint abstracts from the arXiv repository. Materials scientists identified 92 terms for ontology inclusion from a combined set of 228 unique terms, and the term sorting activity resulted in 9 top nodes. The combined methods were successful in engaging domain scientists in ontology design, and give a threshold capacity measure (threshold acceptability) to aid future work. This paper presents the research background and motivation, reviews the methods and procedures, and summarizes the initial results. A discussion explores term sorting approaches and mechanisms for determining thresholds for engaging scientist in semantically-driven ontology design and the concept of ontological empowerment.

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Web of Science research areas
Computer Science, Artificial Intelligence
Computer Science, Information Systems
Computer Science, Interdisciplinary Applications
Computer Science, Theory & Methods
Robotics
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