Journal article
Searching bibliographic data using graphs: A visual graph query interface
Journal of informetrics, v 10(4), pp 1092-1107
Nov 2016
Abstract
•Proposed a graph query interface for searching bibliographic data.•A prototype system is implemented based on the designed method.•The interface improves the expressive power of bibliographic queries.•Streamlined the process of designing and implementing systems.•Support queries for common bibliometric tasks.
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.
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Details
- Title
- Searching bibliographic data using graphs: A visual graph query interface
- Creators
- Yongjun ZhuErjia Yan
- Publication Details
- Journal of informetrics, v 10(4), pp 1092-1107
- Publisher
- Elsevier
- Resource Type
- Journal article
- Language
- English
- Academic Unit
- Information Science
- Web of Science ID
- WOS:000389548900015
- Scopus ID
- 2-s2.0-84991475878
- Other Identifier
- 991014976882404721
InCites Highlights
Data related to this publication, from InCites Benchmarking & Analytics tool:
- Web of Science research areas
- Computer Science, Interdisciplinary Applications
- Information Science & Library Science