Retrieval of source documents in a text reuse system
The architecture of the text-reuse detection system consists of three main modules, i.e., source retrieval, text analysis, and knowledge-based postprocessing. Each module plays an important role in the accuracy rate of the detection outputs. Therefore, this research focuses on developing the source...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
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Diponegoro University
2020-04-01
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| Series: | Jurnal Teknologi dan Sistem Komputer |
| Subjects: | |
| Online Access: | https://jtsiskom.undip.ac.id/index.php/jtsiskom/article/view/13523 |
| _version_ | 1797285211001585664 |
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| author | Nathaniel Clarence Haryanto Lucia Dwi Krisnawati Antonius Rachmat Chrismanto |
| author_facet | Nathaniel Clarence Haryanto Lucia Dwi Krisnawati Antonius Rachmat Chrismanto |
| author_sort | Nathaniel Clarence Haryanto |
| collection | DOAJ |
| description | The architecture of the text-reuse detection system consists of three main modules, i.e., source retrieval, text analysis, and knowledge-based postprocessing. Each module plays an important role in the accuracy rate of the detection outputs. Therefore, this research focuses on developing the source retrieval system in cases where the source documents have been obfuscated in different levels. Two steps of term weighting were applied to get such documents. The first was the local-word weighting, which has been applied to the test or reused documents to select query per text segments. The tf-idf term weighting was applied for indexing all documents in the corpus and as the basis for computing cosine similarity between the queries per segment and the documents in the corpus. A two-step filtering technique was applied to get the source document candidates. Using artificial cases of text reuse testing, the system achieves the same rates of precision and recall that are 0.967, while the recall rate for the simulated cases of reused text is 0.66. |
| first_indexed | 2024-03-07T18:00:00Z |
| format | Article |
| id | doaj.art-bbae2711ace54d6fac05528582692a9f |
| institution | Directory Open Access Journal |
| issn | 2338-0403 |
| language | English |
| last_indexed | 2024-03-07T18:00:00Z |
| publishDate | 2020-04-01 |
| publisher | Diponegoro University |
| record_format | Article |
| series | Jurnal Teknologi dan Sistem Komputer |
| spelling | doaj.art-bbae2711ace54d6fac05528582692a9f2024-03-02T11:05:15ZengDiponegoro UniversityJurnal Teknologi dan Sistem Komputer2338-04032020-04-018214014910.14710/jtsiskom.8.2.2020.140-14912817Retrieval of source documents in a text reuse systemNathaniel Clarence Haryanto0Lucia Dwi Krisnawati1Antonius Rachmat Chrismanto2https://orcid.org/0000-0003-3247-2419Program Studi Informatika, Universitas Kristen Duta Wacana, IndonesiaProgram Studi Informatika, Universitas Kristen Duta Wacana, IndonesiaProgram Studi Informatika, Universitas Kristen Duta Wacana, IndonesiaThe architecture of the text-reuse detection system consists of three main modules, i.e., source retrieval, text analysis, and knowledge-based postprocessing. Each module plays an important role in the accuracy rate of the detection outputs. Therefore, this research focuses on developing the source retrieval system in cases where the source documents have been obfuscated in different levels. Two steps of term weighting were applied to get such documents. The first was the local-word weighting, which has been applied to the test or reused documents to select query per text segments. The tf-idf term weighting was applied for indexing all documents in the corpus and as the basis for computing cosine similarity between the queries per segment and the documents in the corpus. A two-step filtering technique was applied to get the source document candidates. Using artificial cases of text reuse testing, the system achieves the same rates of precision and recall that are 0.967, while the recall rate for the simulated cases of reused text is 0.66.https://jtsiskom.undip.ac.id/index.php/jtsiskom/article/view/13523deteksi daur ulang tekstemu kembali dokumen sumberkata-kata pentingpembobotan lokal |
| spellingShingle | Nathaniel Clarence Haryanto Lucia Dwi Krisnawati Antonius Rachmat Chrismanto Retrieval of source documents in a text reuse system Jurnal Teknologi dan Sistem Komputer deteksi daur ulang teks temu kembali dokumen sumber kata-kata penting pembobotan lokal |
| title | Retrieval of source documents in a text reuse system |
| title_full | Retrieval of source documents in a text reuse system |
| title_fullStr | Retrieval of source documents in a text reuse system |
| title_full_unstemmed | Retrieval of source documents in a text reuse system |
| title_short | Retrieval of source documents in a text reuse system |
| title_sort | retrieval of source documents in a text reuse system |
| topic | deteksi daur ulang teks temu kembali dokumen sumber kata-kata penting pembobotan lokal |
| url | https://jtsiskom.undip.ac.id/index.php/jtsiskom/article/view/13523 |
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