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The use of a graph‐based system to improve bibliographic information retrieval: System design, implementation, and evaluation
Journal article

The use of a graph‐based system to improve bibliographic information retrieval: System design, implementation, and evaluation

Yongjun Zhu, Erjia Yan and Il‐Yeol Song
Journal of the Association for Information Science and Technology, v 68(2), pp 480-490
Feb 2017
DOI: https://doi.org/10.1002/asi.23677

Abstract

In this article, we propose a graph‐based interactive bibliographic information retrieval system—GIBIR. GIBIR provides an effective way to retrieve bibliographic information. The system represents bibliographic information as networks and provides a form‐based query interface. Users can develop their queries interactively by referencing the system‐generated graph queries. Complex queries such as “papers on information retrieval, which were cited by John's papers that had been presented in SIGIR” can be effectively answered by the system. We evaluate the proposed system by developing another relational database‐based bibliographic information retrieval system with the same interface and functions. Experiment results show that the proposed system executes the same queries much faster than the relational database‐based system, and on average, our system reduced the execution time by 72% (for 3‐node query), 89% (for 4‐node query), and 99% (for 5‐node query).

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12 citations in Web of Science
19 citations in Scopus

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Web of Science research areas
Computer Science, Information Systems
Information Science & Library Science
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