CFP last date
20 January 2025
Call for Paper
February Edition
IJCA solicits high quality original research papers for the upcoming February edition of the journal. The last date of research paper submission is 20 January 2025

Submit your paper
Know more
The week's pick
Responsive image
SFLA-Based Line Balancing and Task Optimization in Master-Slave Controlled Hanger Transportation Systems for Garment Production

Duc Hoang Nguyen
Random Articles
Reseach Article

Building Knowledge Graphs based on Binary Associations between Research Topics using Apriori

by Reem Q. Al Fayez, Heba Saadeh, Samar Saleh, Baraa Abu Alrub
journal cover thumbnail

International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 177 - Number 20
Year of Publication: 2019
Authors: Reem Q. Al Fayez, Heba Saadeh, Samar Saleh, Baraa Abu Alrub
10.5120/ijca2019919636

Reem Q. Al Fayez, Heba Saadeh, Samar Saleh, Baraa Abu Alrub . Building Knowledge Graphs based on Binary Associations between Research Topics using Apriori. International Journal of Computer Applications. 177, 20 ( Nov 2019), 25-31. DOI=10.5120/ijca2019919636

@article{ 10.5120/ijca2019919636,
author = { Reem Q. Al Fayez, Heba Saadeh, Samar Saleh, Baraa Abu Alrub },
title = { Building Knowledge Graphs based on Binary Associations between Research Topics using Apriori },
journal = { International Journal of Computer Applications },
issue_date = { Nov 2019 },
volume = { 177 },
number = { 20 },
month = { Nov },
year = { 2019 },
issn = { 0975-8887 },
pages = { 25-31 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume177/number20/31015-2019919636/ },
doi = { 10.5120/ijca2019919636 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-07T00:46:26.250145+05:30
%A Reem Q. Al Fayez
%A Heba Saadeh
%A Samar Saleh
%A Baraa Abu Alrub
%T Building Knowledge Graphs based on Binary Associations between Research Topics using Apriori
%J International Journal of Computer Applications
%@ 0975-8887
%V 177
%N 20
%P 25-31
%D 2019
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Academic and scientific research is very important in developing communities. Interdisciplinary research is thriving and it became the focus of many organizations in academia and industry. Scopus is one of the largest databases of peer-reviewed content. It is a very popular platform for researchers to visit when doing research. Scopus have developed the All Subject Journal Classification (ASJC) hierarchy to denote the research topics covered in their database. The relations between the subjects is not represented by the ASJC. It is represented in a tree like structure of topics and subtopics of research. Journals indexed in Scopus state research topics that they publish in using ASJC topics. The combination of such research topics can be used for discovering associations between research topics. Using Apriori for frequent patterns discovery of co-occurring ASJC topics can build a knowledge graph of associations between the research topics. Using data retrieved from Scopus and with D3 visualization, this paper present a technique for building such knowledge graphs which can be used to build a larger graph database of connected research keywords.

References
  1. A. A. Chadegani, H. Salehi, M. M. Yunus, H. Farhadi, M. Fooladi, M. Farhadi, & Nader, and A. Ebrahim, “A Comparison between Two Main Academic Literature Collections: Web of Science and Scopus Databases,” Asian Soc. Sci., vol. 9, no. 5, 2013.
  2. K. K. Mane and K. Börner, “Mapping topics and topic bursts in PNAS.,” Proc. Natl. Acad. Sci. U. S. A., vol. 101 Suppl 1, no. suppl 1, pp. 5287–90, Apr. 2004.
  3. “Scopus preview - Scopus - Welcome to Scopus.” [Online]. Available: https://www.scopus.com/home.uri. [Accessed: 20-Sep-2019].
  4. “Web of Science - Please Sign In to Access Web of Science.” [Online]. Available: http://login.webofknowledge.com/. [Accessed: 25-Sep-2019].
  5. “Find journals | Elsevier® JournalFinder.” [Online]. Available: https://journalfinder.elsevier.com/. [Accessed: 25-Sep-2019].
  6. “SJR : Scientific Journal Rankings.” [Online]. Available: https://www.scimagojr.com/journalrank.php. [Accessed: 25-Sep-2019].
  7. S. Khan, X. Liu, K. A. Shakil, and M. Alam, “A survey on scholarly data: From big data perspective,” Inf. Process. Manag., vol. 53, no. 4, pp. 923–944, Jul. 2017.
  8. “What is the complete list of Scopus Subject Areas and All Science Journal Classification Codes (ASJC)? - Scopus: Access and use Support Center.”[Online].Available:https://service.elsevier.com/app/answers/detail/a_id/15181/supporthub/scopus/related/1/session/L2F2LzEvdGltZS8xNTY5NDM2MjAyL2dlbi8xNTY5NDM2MjAyL3NpZC9mVUFGUE9jRlNtZWRRTG9HZUVFZW9tU2xRek5nWUVueTh5dkJ0VVYzY21xdnB6dFA3UEx6JTdFU2JZdG85VjVTMmlZZjJScEtlQ1JqUG1f. [Accessed: 25-Sep-2019].
  9. F. Xia, H. Liu, I. Lee, and L. Cao, “Scientific Article Recommendation: Exploiting Common Author Relations and Historical Preferences,” IEEE Trans. Big Data, vol. 2, no. 2, pp. 101–112, Jun. 2016.
  10. J. Lee, K. Lee, and J. G. Kim, “Personalized Academic Research Paper Recommendation System,”, Information Retrieval, Apr. 2013 [online].
  11. A. Naak, H. Hage, and E. Aïmeur, “A Multi-criteria Collaborative Filtering Approach for Research Paper Recommendation in Papyres,” in MCETECH 2009: E-Technologies: Innovation in an Open World, 2009, pp. 25–39.
  12. C. Wang and D. M. Blei, “Collaborative topic modeling for recommending scientific articles,” in Proceedings of the 17th ACM SIGKDD international conference on Knowledge discovery and data mining - KDD ’11, 2011, p. 448.
  13. C. C. Austin, S. Brown, N. Fong, C. Humphrey, A. Leahey, and P. Webster, “Research Data Repositories: Review of Current Features, Gap Analysis, and Recommendations for Minimum Requirements,” 2015.
  14. W. H. Mischo, M. C. Schlembach, and E. Cabada, “Visualizing the Scholarly Impact of Medical Education Researchers,” Qual. Quant. Methods Libr., vol. 8, no. 2, pp. 169–178, Sep. 2019.
  15. C. C. Aggarwal, An Introduction to Data Mining. Cham: Springer International Publishing, 2015.
  16. M. J. Zaki and W. Meira, Data mining and analysis : fundamental concepts and algorithms. 2014.
  17. M. Abdel-Basset, M. Mohamed, F. Smarandache, and V. Chang, “Neutrosophic Association Rule Mining Algorithm for Big Data Analysis,” Symmetry (Basel)., vol. 10, no. 4, p. 106, Apr. 2018.
  18. E. Petrova, P. Pauwels, K. Svidt, and R. L. Jensen, “In Search of Sustainable Design Patterns: Combining Data Mining and Semantic Data Modelling on Disparate Building Data,” in Advances in Informatics and Computing in Civil and Construction Engineering, Cham: Springer International Publishing, 2019, pp. 19–26.
  19. Elsevier Developers, “Serial Title API.” [Online]. Available: https://dev.elsevier.com/documentation/SerialTitleAPI.wadl. [Accessed: 25-Sep-2019].
  20. Fan Bao and Jia Chen, “Visual framework for big data in d3.js,” in 2014 IEEE Workshop on Electronics, Computer and Applications, 2014, pp. 47–50.
Index Terms

Computer Science
Information Sciences

Keywords

Association Rules Scopus Apriori Topics Analysis Knowledge Graphs.

Powered by PhDFocusTM