Candidate document retrieval for Arabic-based text reuse detection on the web

Leena Lulu; Boumediene Belkhouche; Saad Harous

doi:10.1109/INNOVATIONS.2016.7880048

Candidate document retrieval for Arabic-based text reuse detection on the web

Leena Lulu, Boumediene Belkhouche, Saad Harous

Department of Intelligent Systems

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

1 Citation (Scopus)

Abstract

Given an input document d, the problem of local text reuse detection is to detect from a given documents collection, all the possible reused passages between d and the other documents. Comparing the passages of document d with the passages of every other document in the collection is obviously infeasible especially with large collections such as the Web. Therefore, selecting a subset of the documents that potentially contains reused text with d becomes a major step in the detection problem. This paper describes a new efficient approach of query formulation to retrieve Arabic-based candidate source documents from the Web. We evaluated the work using a collection of documents especially constructed for this work. The experiments show that on average, 79.97% of the Web documents used in the reused cases were successfully retrieved.

Original language	English
Title of host publication	Proceedings of the 2016 12th International Conference on Innovations in Information Technology, IIT 2016
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781509053438
DOIs	https://doi.org/10.1109/INNOVATIONS.2016.7880048
Publication status	Published - Mar 16 2017
Event	12th International Conference on Innovations in Information Technology, IIT 2016 - Al Ain, United Arab Emirates Duration: Nov 28 2016 → Nov 29 2016

Other

Other	12th International Conference on Innovations in Information Technology, IIT 2016
Country/Territory	United Arab Emirates
City	Al Ain
Period	11/28/16 → 11/29/16

Keywords

Fingerprinting
Query Generation
Text Reuse Detection
Web Document Retrieval

ASJC Scopus subject areas

Computer Science Applications
Hardware and Architecture
Information Systems
Computer Networks and Communications
Instrumentation

Access to Document

10.1109/INNOVATIONS.2016.7880048

Cite this

Candidate document retrieval for Arabic-based text reuse detection on the web. / Lulu, Leena; Belkhouche, Boumediene; Harous, Saad.
Proceedings of the 2016 12th International Conference on Innovations in Information Technology, IIT 2016. Institute of Electrical and Electronics Engineers Inc., 2017. 7880048.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Lulu, L, Belkhouche, B & Harous, S 2017, Candidate document retrieval for Arabic-based text reuse detection on the web. in Proceedings of the 2016 12th International Conference on Innovations in Information Technology, IIT 2016., 7880048, Institute of Electrical and Electronics Engineers Inc., 12th International Conference on Innovations in Information Technology, IIT 2016, Al Ain, United Arab Emirates, 11/28/16. https://doi.org/10.1109/INNOVATIONS.2016.7880048

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title = "Candidate document retrieval for Arabic-based text reuse detection on the web",

abstract = "Given an input document d, the problem of local text reuse detection is to detect from a given documents collection, all the possible reused passages between d and the other documents. Comparing the passages of document d with the passages of every other document in the collection is obviously infeasible especially with large collections such as the Web. Therefore, selecting a subset of the documents that potentially contains reused text with d becomes a major step in the detection problem. This paper describes a new efficient approach of query formulation to retrieve Arabic-based candidate source documents from the Web. We evaluated the work using a collection of documents especially constructed for this work. The experiments show that on average, 79.97% of the Web documents used in the reused cases were successfully retrieved.",

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AU - Lulu, Leena

AU - Belkhouche, Boumediene

AU - Harous, Saad

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N2 - Given an input document d, the problem of local text reuse detection is to detect from a given documents collection, all the possible reused passages between d and the other documents. Comparing the passages of document d with the passages of every other document in the collection is obviously infeasible especially with large collections such as the Web. Therefore, selecting a subset of the documents that potentially contains reused text with d becomes a major step in the detection problem. This paper describes a new efficient approach of query formulation to retrieve Arabic-based candidate source documents from the Web. We evaluated the work using a collection of documents especially constructed for this work. The experiments show that on average, 79.97% of the Web documents used in the reused cases were successfully retrieved.

AB - Given an input document d, the problem of local text reuse detection is to detect from a given documents collection, all the possible reused passages between d and the other documents. Comparing the passages of document d with the passages of every other document in the collection is obviously infeasible especially with large collections such as the Web. Therefore, selecting a subset of the documents that potentially contains reused text with d becomes a major step in the detection problem. This paper describes a new efficient approach of query formulation to retrieve Arabic-based candidate source documents from the Web. We evaluated the work using a collection of documents especially constructed for this work. The experiments show that on average, 79.97% of the Web documents used in the reused cases were successfully retrieved.

KW - Fingerprinting

KW - Query Generation

KW - Text Reuse Detection

KW - Web Document Retrieval

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Candidate document retrieval for Arabic-based text reuse detection on the web

Abstract

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Keywords

ASJC Scopus subject areas

Access to Document

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Cite this