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Title:CORA: A platform to support citation context analysis
Author(s):Yu, Bei; Hegde, Yatish; Li, Yingya
Subject(s):Citation content analysis
Opinion mining
System design
Data management
Abstract:In scholarly communication, researchers not only express their evaluative opinions towards peer work in citation statements, they retrieve and summarize these opinions by following citation links. Aggregated citation opinions are critical for determining validity of scientific claims as well as for identifying the best methods to be applied, which can provide valuable input for comprehensive literature review and reference for research impact assessment. Current effort for automated citation context analysis has focused more on algorithm design and much less on designing open-access platform to support sustainable research. We designed CORA, an open-access platform to support citation context analysis. This paper describes the CORA infrastructure that supports major tasks in citation context analysis, including free-text human annotation, management of large text corpora with layers of annotations and markups, citation context retrieval, developer APIs for algorithm design and implementation, and also user evaluation.
Issue Date:2017
Publisher:iSchools
Citation Info:Yu, B., Hegde, Y., & Li, Y. (2017). CORA: A Platform to Support Citation Context Analysis. In iConference 2017 Proceedings (pp. 586-597). https://doi.org/10.9776/17234
Series/Report:iConference 2017 Proceedings
Genre:Conference Paper/Presentation
Type:Text
Language:English
URI:http://hdl.handle.net/2142/96770
DOI:https://doi.org/10.9776/17234
Rights Information:Copyright 2017 Bei Yu, Yatish Hegde, and Yingya Li
Date Available in IDEALS:2017-07-27


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