Browse Student Publications and Research - Information Sciences by Author "Cheng, Yi-Yun"

  • Cheng, Yi-Yun; Franz, Nico; Schneider, Jodi; Yu, Shizhuo; Rodenhausen, Thomas; Ludäscher, Bertram (The Association for Information Science and Technology, 2017)
    Taxonomy alignment is a way to integrate two or more taxonomies. Semantic interoperability between datasets, information systems, and knowledge bases is facilitated by combining the different input taxonomies into merged ...

    application/pdf

    application/pdfPDF (2MB)
  • Hoang, Linh K.; Cao, Linh T.; Guan, Yingjun; Cheng, Yi-Yun; Schneider, Jodi (iSchool UIUC Research Showcase 2017, 2017)
    Computer support tools are increasingly designed to help reduce the time required for evidence synthesis tasks such as manually extracting information from scientific papers. We present two case studies evaluating ...

    application/pdf

    application/pdfPDF (2MB)
  • Cheng, Yi-Yun; Ludäscher, Bertram (North American Symposium on Knowledge Organization (NASKO), 2019-06)
    In the face of heterogeneous standards and large-scale datasets, it has become increasingly difficult to understand the underlying knowledge structures within complex information systems. These structures may encode latent ...

    application/pdf

    application/pdfPDF (984kB)
  • Cheng, Yi-Yun; Ludäscher, Bertram (Networked Knowledge Organization Systems (NKOS), 2018)
    Advancements in technologies such as DNA analysis have given rise to new ways in organizing organisms in biodiversity classification systems. In this paper, we examine the feasibility of aligning two classification systems ...

    application/pdf

    application/pdfPDF (678kB)
  • Dinh, Ly; Cheng, Yi-Yun (The Association for Information Science and Technology (ASIS&T), 2018)
    The era of big science promises rapid growth of scientific innovations and complex problem-solving, bringing forth the practice of doing science in large-scale collaborative effort rather than single author, solitary work. ...

    application/pdf

    application/pdfPDF (929kB)
  • Cheng, Yi-Yun; Weigl, David M.; Downie, J. S.; Page, Kevin R. (iConference, 2018-03)
    Extracted feature data augment information resources with concrete characterizations of their content, but only approximate to the meaningful high-level descriptions typically expected by digital musicology scholars (domain ...

    application/pdf

    application/pdfPDF (185kB)