Searching bibliographic data using graphs: A visual graph query interface

Yongjun Zhu, Erjia Yan

Research output: Contribution to journalArticlepeer-review

7 Citations (Scopus)


With the ever-increasing scientific literature, improving the efficiency of searching bibliographic data has become an important issue. With a lack of support of current bibliographic information retrieval systems in expressing complicated information needs, getting relevant bibliographic data is a demanding task. In this paper, we propose a visual graph query interface for bibliographic information retrieval. Through this interface, users can formulate bibliographic queries by interacting with a graph. Visual graph queries use a set of nodes with constraints and links among nodes to represent explicit and precise bibliographic information needs. The proposed visual graph query interface allows users to formulate several complex bibliographic queries (e.g., bibliographic coupling) that are not attainable in current major bibliographic information retrieval systems. In addition, the proposed interface requires less number of queries in completing everyday bibliographic search tasks.

Original languageEnglish
Pages (from-to)1092-1107
Number of pages16
JournalJournal of Informetrics
Issue number4
Publication statusPublished - 2016 Nov 1

Bibliographical note

Funding Information:
This project was made possible in part by the Institute of Museum and Library Services (Grant Award Number: RE-07-15-0060-15 ), for the project titled “Building an entity-based research framework to enhance digital services on knowledge discovery and delivery”.

Publisher Copyright:
© 2016 Elsevier Ltd

All Science Journal Classification (ASJC) codes

  • Computer Science Applications
  • Library and Information Sciences


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