jessica_cheng

Jessica Yi-Yun
Cheng

Assistant Professor of Library and Information Science

Faculty

Office:
Alexander Library 405C
EMAIL:
yiyun.cheng@rutgers.edu
WEB LINKS:
Google Scholar ResearchGate Personal Website ORCHID ID
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Jessica Yi-Yun Cheng in interested in investigating how interoperability issues in taxonomies and metadata, may have implications towards data curation.  Her work leverages conceptual modeling, qualitative reasoning, and logic-based methods for merging and aligning geographic and biodiversity taxonomies.

Education

University of Illinois at Urbana-Champaign
Ph.D., Information Sciences, School of Information Sciences

National Taiwan University
M.A., Library and Information Science, Department and Graduate Institute of Library and Information Science

National Taiwan University
B.A., Library and Information Science, Department and Graduate Institute of Library and Information Science

Research

 Cheng's current research projects focus on the following topics:

  • Comparing different alignment methods used in knowledge organization systems
  • Investigating implicit assumptions in geographic taxonomies 
  • Exploring the use of provenance metadata and conceptual models
  • Examining data curation practices in biodiversity data and natural history museum collections

 

The goals of these ongoing projects are to improve understanding towards long-term data curation in biodiversity, and to inform better design and modeling of knowledge graphs.

Funded Projects

Beta Phi Mu Eugene Garfield Doctoral Dissertation Fellowship, $3000, 2021

Graduate Research Assistantship funded by the “Euler/X” project (NSF IIS award #118088, “A Logic-Based, Provenance-Aware System for Merging Scientific Data under Context and Classification Constraints”), 2016-2017 

Selected Publications

Cheng, Yi‐Yun. "Systematic Comparison of Data Models used in Mapping Knowledge Organization Systems." Proceedings of the Association for Information Science and Technology 58.1 (2021): 685-687.

Cheng, Yi‐Yun, and Bertram Ludäscher. "Reconciling taxonomies of electoral constituencies and recognized tribes of indigenous Taiwan." Proceedings of the Association for Information Science and Technology 57.1 (2020): e248.

Cheng, Yi-Yun, and Bertram Ludäscher. "Exploring Geopolitical Realities through Taxonomies: The Case of Taiwan." NASKO 7.1 (2019): 77-93.

Thomer, Andrea, Cheng, Yi-Yun, Schneider, Jodi, Twiddle, Michael, and  Bertram Ludäscher. "Logic-based schema alignment for natural history museum databases." Knowledge Organization 44.7 (2017): 545-558.

 

Cheng, Yi‐Yun, et al. "Agreeing to disagree: Reconciling conflicting taxonomic views using a logic‐based approach." Proceedings of the Association for Information Science and Technology 54.1 (2017): 46-56.

Awards & Recognitions

ASIS&T Doctoral Colloquium, 2021

LEADS Fellowship (LEADS-4-NDP/Drexel University), $10,000, 2019, 2020

Research Keywords