TY - GEN
T1 - Enabling Authors to Produce Computable Phenotype Measurements
T2 - 22nd International Conference on Human-Computer Interaction, HCI International 2020
AU - Zhang, Limin
AU - Cui, Hong
AU - Ford, Bruce
AU - Cheng, Hsin liang
AU - Macklin, James
AU - Reznicek, Anton
AU - Starr, Julian
N1 - Funding Information:
This work was supported by UA National Science Foundation # 1661485.
Publisher Copyright:
© 2020, Springer Nature Switzerland AG.
PY - 2020
Y1 - 2020
N2 - We believe authors are the most authoritative in defining characters they record. Currently, it is professional curators to convert phenotype characters in publications from human language to computable language using ontology. Such a curation process is not only slow and costly, but it is also jeopardized by significant inter-curation variation issues that are well-known but not systematically addressed. In an effort to make scientific publication semantically clear at the time of publication, we are designing, developing and evaluating a series of ontology-aware software prototypes to support authors to produce phenotypic data that can be readily harvested by computers. One of this series, Measurement Recorder, has been developed to assist authors to define numerical measurements of characters. Two usability studies have conducted with 22 undergraduate students who majored in information science and 32 biology undergraduate students respectively. Results obtained from the questionnaires and user interaction log data suggest that users can use the Measurement Recorder without training and find it easy to use. Users also appreciate semantic features that enhance data quality. A set of software design issues have also been identified and new features/modifications have been approved by three botanists on the team and implemented to address these issues. This module will be included in a larger Character Recorder platform where both categorical and numerical characters are supported. Future work includes representing the semantic data as RDF knowledge graph and characterizing the division of work between authors as domain knowledge providers and ontology engineers as knowledge formalizers.
AB - We believe authors are the most authoritative in defining characters they record. Currently, it is professional curators to convert phenotype characters in publications from human language to computable language using ontology. Such a curation process is not only slow and costly, but it is also jeopardized by significant inter-curation variation issues that are well-known but not systematically addressed. In an effort to make scientific publication semantically clear at the time of publication, we are designing, developing and evaluating a series of ontology-aware software prototypes to support authors to produce phenotypic data that can be readily harvested by computers. One of this series, Measurement Recorder, has been developed to assist authors to define numerical measurements of characters. Two usability studies have conducted with 22 undergraduate students who majored in information science and 32 biology undergraduate students respectively. Results obtained from the questionnaires and user interaction log data suggest that users can use the Measurement Recorder without training and find it easy to use. Users also appreciate semantic features that enhance data quality. A set of software design issues have also been identified and new features/modifications have been approved by three botanists on the team and implemented to address these issues. This module will be included in a larger Character Recorder platform where both categorical and numerical characters are supported. Future work includes representing the semantic data as RDF knowledge graph and characterizing the division of work between authors as domain knowledge providers and ontology engineers as knowledge formalizers.
KW - Author curation
KW - Inter-curator variation
KW - Measurement recorder
KW - Phenotype characters
KW - Semantic-aware software
KW - Usability study
UR - http://www.scopus.com/inward/record.url?scp=85097078107&partnerID=8YFLogxK
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U2 - 10.1007/978-3-030-60700-5_37
DO - 10.1007/978-3-030-60700-5_37
M3 - Conference contribution
AN - SCOPUS:85097078107
SN - 9783030606992
T3 - Communications in Computer and Information Science
SP - 288
EP - 296
BT - HCI International 2020 – Late Breaking Posters - 22nd International Conference, HCII 2020, Proceedings
A2 - Stephanidis, Constantine
A2 - Antona, Margherita
A2 - Ntoa, Stavroula
PB - Springer Science and Business Media Deutschland GmbH
Y2 - 19 July 2020 through 24 July 2020
ER -