Extracting an Ontology from Large Databases: Challenges and a Solution

Q: How can I download an article?

To download an article from SID, first log in to the site, search for the article title, and click on the 'Download Article' option.

Q: How can I download an ISI article?

To download an ISI article on SID, enter the keyword or article title in the search bar, view the relevant results, click on the desired article, and select the 'Download Article' option.

Q: How can I access the SID database?

To access the SID database, visit SID.ir, create an account, and log in to access scientific resources.

Q: Is downloading articles from SID free?

Some articles on SID are available for free, while others require payment. Details are specified on the article's page.

Milanifard Omid; KAHANI MOHSEN

مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

Journal Paper

Paper Information

Journal: Library and Information Science Research Year:2018 | Volume:8 | Issue:1 (15) Page(s): 287-312

Download Full-Text

Persian Verion

View:

419

Download:

Cites:

Information Journal Paper

Title

Extracting an Ontology from Large Databases: Challenges and a Solution

Author(s)

Milanifard Omid | KAHANI MOHSEN | Issue Writer Certificate

Keywords

ntologyQ1

Ontology constructionQ1

Database reverse engineeringQ1

Abstract

NTRUDUCTION: Extracting ontology from the database is one of the most common methods to build ontologies. There are some challenges in using current methods for large databases (such as enterprise resource planning system (ERP) databases). This study aimed to propose a practical solution to overcome the challenges of extracting the ontology from large databases. METHODOLOGY: This study was conducted by using the design science research (DSR) method. This method was validated by implementing its algorithms and process on a higher education ERP. FINDINGS: Higher education ontology was extracted from the higher education ERP by using a proposed method. Comparing the result with other existing higher education ontologies proved the accuracy and efficiency of this method. CONCLUSIONS: A new method was proposed as a result of this study. This method is based on reverse engineering and has enough details to use in practice. This method has several tools that can be implemented in open-source software; so other researchers can use and customize the code for their special purposes. The proposed method has both preparation and enrichment phases in the process of constructing ontology from a database. Also, its transformation algorithms are optimized for using in large databases. The full architecture with sufficient details is strength of this method in comparison with other methods.

Cites

No record.

References

No record.

Cite

APA: Copy

Milanifard, Omid, & KAHANI, MOHSEN. (2018). Extracting an Ontology from Large Databases: Challenges and a Solution. LIBRARY AND INFORMATION RESEARCH JOURNAL (STUDIES IN EDUCATION & PSYCHOLOGY ), 8(1 (15) ), 287-312. SID. https://sid.ir/paper/204983/en

Vancouver: Copy

Milanifard Omid, KAHANI MOHSEN. Extracting an Ontology from Large Databases: Challenges and a Solution. LIBRARY AND INFORMATION RESEARCH JOURNAL (STUDIES IN EDUCATION & PSYCHOLOGY )[Internet]. 2018;8(1 (15) ):287-312. Available from: https://sid.ir/paper/204983/en

IEEE: Copy

Omid Milanifard, and MOHSEN KAHANI, “Extracting an Ontology from Large Databases: Challenges and a Solution,” LIBRARY AND INFORMATION RESEARCH JOURNAL (STUDIES IN EDUCATION & PSYCHOLOGY ), vol. 8, no. 1 (15) , pp. 287–312, 2018, [Online]. Available: https://sid.ir/paper/204983/en

Related Journal Papers