Amin, Muhammad Miftakul and Stiawan, Deris and Ermatita and Subroto, Imam Much Ibnu and Lukman (2022) DECISION SUPPORT SYSTEM USING WEIGHTING SIMILARITY MODEL FOR CONSTRUCTING GROUND-TRUTH DATA SET. Electrical Engineering, Computer Science and Informatics (EECSI). pp. 56-60. ISSN 978-623-92135-6-5 (ISBN)
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Abstract
This research aims to form a ground-truth dataset in the entity-matching process used to detect duplication of records in a bibliographic database. The contribution of this research is the obtained dataset which can be used as reference in measuring and evaluating the entity matching model implemented in bibliographic databases. This aim was achieved by developing a decision support system through experts who act as decision makers in the bibliographic databases field to construct ground-truth datasets. The model used in this decision support system weights similarity by comparing each attribute of the pairwise record in the dataset. An expert who understands all characteristics of the research database can use the graphical user interface to evaluate and determine the pairwise record that meets the conditions, such as duplication of records. This research produces a ground-truth dataset using the decision support system approach.
| Item Type: | Article |
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| Uncontrolled Keywords: | decision support system, ground-truth dataset, bibliographic database |
| Subjects: | T Technology > T Technology (General) |
| Divisions: | Computer Engineering > Proceeding and Seminar |
| Depositing User: | Mrs Trisni Handayani |
| Date Deposited: | 20 Mar 2023 09:36 |
| Last Modified: | 20 Mar 2023 09:36 |
| URI: | http://eprints.polsri.ac.id/id/eprint/13110 |
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