Temu kembali dokumen sumber rujukan dalam sistem daur ulang teks

Retrieval of source documents in a text reuse system

Nathaniel Clarence Haryanto  -  Department of Informatics, Universitas Kristen Duta Wacana, Indonesia
*Lucia Dwi Krisnawati scopus  -  Department of Informatics, Universitas Kristen Duta Wacana, Indonesia
Antonius Rachmat Chrismanto orcid scopus  -  Department of Informatics, Universitas Kristen Duta Wacana, Indonesia
Received: 17 Oct 2019; Revised: 26 Feb 2020; Accepted: 13 Mar 2020; Published: 30 Apr 2020; Available online: 20 Mar 2020.
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Creative Commons License This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

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Article Info
Section: Original Research Articles
Language: ID
In Volume 8, Issue 2, Year 2020 (April 2020)
Statistics: 202 63
Abstract
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.
Keywords: text reuse detection; source retrieval; significant words; local-word weighting scheme

Article Metrics:

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