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A new subject-based retrieval and search result visualization approach for scientific digital libraries

Sayed Mahmood Bakhshayesh (Department of Industrial Engineering and Management Systems, Amirkabir University of Technology, Tehran, Iran)
Abbas Ahmadi (Department of Industrial Engineering and Management Systems, Amirkabir University of Technology, Tehran, Iran)
Azadeh Mohebi (Information Technology Research Department, Iranian Research Institute for Information Science and Technology (IranDoc), Tehran, Iran)

The Electronic Library

ISSN: 0264-0473

Article publication date: 22 September 2021

Issue publication date: 4 November 2021

346

Abstract

Purpose

Many search engines in digital libraries are restricted to the terms presented in users’ queries. When users cannot represent their information needs in terms of keywords in a query, the search engine fails to provide appropriate results. In addition, most search engines do not have the ability to visualize search results for users to help them in their information journey. The purpose of this paper is to develop a new approach for search result visualization in digital libraries. The visualization approach enables subject-based visualization of search results and search queries.

Design/methodology/approach

To enable subject-based visualization of search results in digital libraries, new subject-based document retrieval is proposed in which each document is represented as a vector of subjects as well. Then, using a vector space model for information retrieval, along with the subject-based vector, related documents to the user’s query are retrieved, whilst each document is visualized through a ring chart, showing the inherent subjects within each document and the query.

Findings

The proposed subject-based retrieval and visualization approach is evaluated from various perspectives to amplify the impact of the visualization approach from users’ opinions. Users have evaluated the performance of the proposed subject-based retrieval and search result visualization, whilst 67% of users prefer subject-based document retrieval and 80% of them believe that the proposed visualization approach is practical.

Research limitations/implications

This research has provided a subject-based representation scheme for search result visualization in a digital library. The implication of this research can be viewed from two perspectives. First, the subject-based retrieval approach provides an opportunity for the users to understand their information needs, beyond the explicit terms in the query, leading to results, which are semantically relevant to the query. Second, the simple subject-based visualization scheme, helps users to explore the results easily, whilst allowing them to build their knowledge experience.

Originality/value

A new vectorized subject-based representation of documents and queries is proposed. This representation determines the semantic and subject-based relationship between a given query and documents within a digital scientific library. In addition, it also provides a subject-based representation of the retrieved documents through which users can track the semantic relationship between the query and retrieve documents, visually.

Keywords

Acknowledgements

This research is partially supported by RoboDoc Human Machine Interaction Lab at Iranian Research Institute for Information Science and Technology (IranDoc). We highly appreciate participation of researchers in the Lab and graduate students of Amirkabir University of Technology in user study experiments.

Citation

Bakhshayesh, S.M., Ahmadi, A. and Mohebi, A. (2021), "A new subject-based retrieval and search result visualization approach for scientific digital libraries", The Electronic Library, Vol. 39 No. 4, pp. 572-595. https://doi.org/10.1108/EL-08-2020-0243

Publisher

:

Emerald Publishing Limited

Copyright © 2021, Emerald Publishing Limited

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