Knowledge Graph for Discovery and Navigation, Case of Interdisciplinary Ph.D. Program
Date
2018
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CEUR Proceedings
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2181
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Abstract
This research is proposing the development of a methodology for eliciting and formalizing relationships that should be organized in a knowledge graph, intended for improved resource discovery and collaboration opportunities in a Ph.D. program. By taking a case of an interdisciplinary Ph.D. program, proposed steps will include participatory design method, text mining, and social network analysis, while reusing available models and vocabularies for the academic domain. The proposed analysis will be based on intellectual outputs, research profiles, information on activities and other relevant data that is produced by the given community. The expected outcome would account for the emphasis of actors’ roles in a community, which should result in enhanced opportunities for quality cooperation.
Description
This paper is showing a Ph.D. research in progress that was presented at ISCW conference, Monterey, CA.
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Knowledge Graph, Scholarly publishing, Social Network Analysis, Interdisciplinary research, Knowledge Discovery
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10
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