A graph structure-based asset retrieval system

Jia Ling Koh; Chia Jung Chiang; Seng Chih Chu; Yi Chi Huang; Shao Chun Peng; Sz Han Wang; Te Yu Liu; Hui I. Hsiao; Chien Lin; Arbee L.P. Chen

doi:10.3233/978-1-61499-484-8-511

A graph structure-based asset retrieval system

Jia Ling Koh, Chia Jung Chiang, Seng Chih Chu, Yi Chi Huang, Shao Chun Peng, Sz Han Wang, Te Yu Liu, Hui I. Hsiao, Chien Lin, Arbee L.P. Chen

Department of Computer Science and Information Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

Retrieving assets for reuse is often a laborious, time-consuming, and difficult task because asset information cannot be effectively maintained. In this study, an asset searching technology was developed by using the graph structures and attributes. (1) The searching strategy based on graph structure primarily considers the structural relationships between assets to evaluate the similarity between asset graphs and the query. (2) The searching strategy based on attributes uses graph structures for fast retrievals, and performs string matching on the asset documents of the graph matching results to determine the degree of similarity between an asset solution and the query according to their content descriptions and attributes. To combine the matching results of both the structures and attributes, this study developed an overall similarity evaluation and ranking mechanism to search and identify the asset solutions that most similar to the query requirement. This study provides a comprehensive asset similarity evaluation method, which can improve the effectiveness of searching assets and usability of asset resources.

Original language	English
Title of host publication	Intelligent Systems and Applications - Proceedings of the International Computer Symposium, ICS 2014
Editors	William Cheng-Chung Chu, Han-Chieh Chao, Stephen Jenn-Hwa Yang
Publisher	IOS Press BV
Pages	511-520
Number of pages	10
ISBN (Electronic)	9781614994831
DOIs	https://doi.org/10.3233/978-1-61499-484-8-511
Publication status	Published - 2015
Event	International Computer Symposium, ICS 2014 - Taichung, Taiwan Duration: 2014 Dec 12 → 2014 Dec 14

Publication series

Name	Frontiers in Artificial Intelligence and Applications
Volume	274
ISSN (Print)	0922-6389
ISSN (Electronic)	1879-8314

Other

Other	International Computer Symposium, ICS 2014
Country/Territory	Taiwan
City	Taichung
Period	2014/12/12 → 2014/12/14

Keywords

asset database application
graph search
information retrieval

ASJC Scopus subject areas

Artificial Intelligence

Access to Document

10.3233/978-1-61499-484-8-511

Cite this

Koh, J. L., Chiang, C. J., Chu, S. C., Huang, Y. C., Peng, S. C., Wang, S. H., Liu, T. Y., Hsiao, H. I., Lin, C., & Chen, A. L. P. (2015). A graph structure-based asset retrieval system. In W. C.-C. Chu, H.-C. Chao, & S. J.-H. Yang (Eds.), Intelligent Systems and Applications - Proceedings of the International Computer Symposium, ICS 2014 (pp. 511-520). (Frontiers in Artificial Intelligence and Applications; Vol. 274). IOS Press BV. https://doi.org/10.3233/978-1-61499-484-8-511

A graph structure-based asset retrieval system. / Koh, Jia Ling; Chiang, Chia Jung; Chu, Seng Chih et al.
Intelligent Systems and Applications - Proceedings of the International Computer Symposium, ICS 2014. ed. / William Cheng-Chung Chu; Han-Chieh Chao; Stephen Jenn-Hwa Yang. IOS Press BV, 2015. p. 511-520 (Frontiers in Artificial Intelligence and Applications; Vol. 274).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Koh, JL, Chiang, CJ, Chu, SC, Huang, YC, Peng, SC, Wang, SH, Liu, TY, Hsiao, HI, Lin, C & Chen, ALP 2015, A graph structure-based asset retrieval system. in WC-C Chu, H-C Chao & SJ-H Yang (eds), Intelligent Systems and Applications - Proceedings of the International Computer Symposium, ICS 2014. Frontiers in Artificial Intelligence and Applications, vol. 274, IOS Press BV, pp. 511-520, International Computer Symposium, ICS 2014, Taichung, Taiwan, 2014/12/12. https://doi.org/10.3233/978-1-61499-484-8-511

Koh JL, Chiang CJ, Chu SC, Huang YC, Peng SC, Wang SH et al. A graph structure-based asset retrieval system. In Chu WCC, Chao HC, Yang SJH, editors, Intelligent Systems and Applications - Proceedings of the International Computer Symposium, ICS 2014. IOS Press BV. 2015. p. 511-520. (Frontiers in Artificial Intelligence and Applications). doi: 10.3233/978-1-61499-484-8-511

Koh, Jia Ling ; Chiang, Chia Jung ; Chu, Seng Chih et al. / A graph structure-based asset retrieval system. Intelligent Systems and Applications - Proceedings of the International Computer Symposium, ICS 2014. editor / William Cheng-Chung Chu ; Han-Chieh Chao ; Stephen Jenn-Hwa Yang. IOS Press BV, 2015. pp. 511-520 (Frontiers in Artificial Intelligence and Applications).

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AB - Retrieving assets for reuse is often a laborious, time-consuming, and difficult task because asset information cannot be effectively maintained. In this study, an asset searching technology was developed by using the graph structures and attributes. (1) The searching strategy based on graph structure primarily considers the structural relationships between assets to evaluate the similarity between asset graphs and the query. (2) The searching strategy based on attributes uses graph structures for fast retrievals, and performs string matching on the asset documents of the graph matching results to determine the degree of similarity between an asset solution and the query according to their content descriptions and attributes. To combine the matching results of both the structures and attributes, this study developed an overall similarity evaluation and ranking mechanism to search and identify the asset solutions that most similar to the query requirement. This study provides a comprehensive asset similarity evaluation method, which can improve the effectiveness of searching assets and usability of asset resources.

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ER -

A graph structure-based asset retrieval system

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