Enhancing semantic Arabic information retrieval via Arabic Wikipedia assisted search expansion layer

Eslam Amer; Heba M. Khalil; Tarek El-Shistawy

doi:10.1007/978-3-319-64861-3_47

Enhancing semantic Arabic information retrieval via Arabic Wikipedia assisted search expansion layer

Eslam Amer^*, Heba M. Khalil, Tarek El-Shistawy

^*Corresponding author for this work

School of Computing

Benha University

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

Abstract

Deducing user intent of query texts is one of the challenging areas in semantic search engines to improve generalization and relevancy of query results. Most of the existing works rely on semantic ontologies to provide such knowledge. Nevertheless, semantic ontologies are not complete in many languages such as Arabic. This research proposes Arabic Wikipedia Assisted Search Expansion Layer (AWASEL), a system that enhances semantic text retrieval relying on Arabic Wikipedia. AWASEL intend to improve search results by adding relevant cross concepts to the original user’s query. The system is evaluated against Arabic news titles and headlines. In most cases, AWASEL was able to extract distinct documents which cover related background information needed to understand the news topic. Experimental evaluation of AWASEL showed that in terms of relevancy, it achieves precision 83.5% and recall 85.3%, and in terms of generalization, retrieved results are higher than initial user’s query represent for extracted results.

Original language	English
Title of host publication	Proceedings of the International Conference on Advanced Intelligent Systems and Informatics 2017
Editors	Mohamed F. Tolba, Tarek Gaber, Khaled Shaalan, Aboul Ella Hassanien
Publisher	Springer
Pages	500-510
Number of pages	11
ISBN (Electronic)	9783319648613
ISBN (Print)	9783319648606
DOIs	https://doi.org/10.1007/978-3-319-64861-3_47
Publication status	Published - 31 Aug 2017
Event	3rd International Conference on Advanced Intelligent Systems and Informatics, AISI 2017 - Cairo, Egypt Duration: 9 Sept 2017 → 11 Sept 2017

Publication series

Name	Advances in Intelligent Systems and Computing
Volume	639
ISSN (Print)	2194-5357

Conference

Conference	3rd International Conference on Advanced Intelligent Systems and Informatics, AISI 2017
Country/Territory	Egypt
City	Cairo
Period	9/09/17 → 11/09/17

Keywords

Arabic wikipedia
Natural language processing
Query expansion
Semantic search

Access to Document

10.1007/978-3-319-64861-3_47

Cite this

Amer, E., Khalil, H. M., & El-Shistawy, T. (2017). Enhancing semantic Arabic information retrieval via Arabic Wikipedia assisted search expansion layer. In M. F. Tolba, T. Gaber, K. Shaalan, & A. E. Hassanien (Eds.), Proceedings of the International Conference on Advanced Intelligent Systems and Informatics 2017 (pp. 500-510). (Advances in Intelligent Systems and Computing; Vol. 639). Springer. https://doi.org/10.1007/978-3-319-64861-3_47

Amer, Eslam ; Khalil, Heba M. ; El-Shistawy, Tarek. / Enhancing semantic Arabic information retrieval via Arabic Wikipedia assisted search expansion layer. Proceedings of the International Conference on Advanced Intelligent Systems and Informatics 2017. editor / Mohamed F. Tolba ; Tarek Gaber ; Khaled Shaalan ; Aboul Ella Hassanien. Springer, 2017. pp. 500-510 (Advances in Intelligent Systems and Computing).

@inproceedings{112089a41bbf4bf9b23b07e8154a3f7d,

title = "Enhancing semantic Arabic information retrieval via Arabic Wikipedia assisted search expansion layer",

abstract = "Deducing user intent of query texts is one of the challenging areas in semantic search engines to improve generalization and relevancy of query results. Most of the existing works rely on semantic ontologies to provide such knowledge. Nevertheless, semantic ontologies are not complete in many languages such as Arabic. This research proposes Arabic Wikipedia Assisted Search Expansion Layer (AWASEL), a system that enhances semantic text retrieval relying on Arabic Wikipedia. AWASEL intend to improve search results by adding relevant cross concepts to the original user{\textquoteright}s query. The system is evaluated against Arabic news titles and headlines. In most cases, AWASEL was able to extract distinct documents which cover related background information needed to understand the news topic. Experimental evaluation of AWASEL showed that in terms of relevancy, it achieves precision 83.5% and recall 85.3%, and in terms of generalization, retrieved results are higher than initial user{\textquoteright}s query represent for extracted results.",

keywords = "Arabic wikipedia, Natural language processing, Query expansion, Semantic search",

author = "Eslam Amer and Khalil, {Heba M.} and Tarek El-Shistawy",

note = "Publisher Copyright: {\textcopyright} 2018, Springer International Publishing AG.; 3rd International Conference on Advanced Intelligent Systems and Informatics, AISI 2017 ; Conference date: 09-09-2017 Through 11-09-2017",

year = "2017",

month = aug,

day = "31",

doi = "10.1007/978-3-319-64861-3_47",

language = "English",

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series = "Advances in Intelligent Systems and Computing",

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Amer, E, Khalil, HM & El-Shistawy, T 2017, Enhancing semantic Arabic information retrieval via Arabic Wikipedia assisted search expansion layer. in MF Tolba, T Gaber, K Shaalan & AE Hassanien (eds), Proceedings of the International Conference on Advanced Intelligent Systems and Informatics 2017. Advances in Intelligent Systems and Computing, vol. 639, Springer, pp. 500-510, 3rd International Conference on Advanced Intelligent Systems and Informatics, AISI 2017, Cairo, Egypt, 9/09/17. https://doi.org/10.1007/978-3-319-64861-3_47

Enhancing semantic Arabic information retrieval via Arabic Wikipedia assisted search expansion layer. / Amer, Eslam; Khalil, Heba M.; El-Shistawy, Tarek.
Proceedings of the International Conference on Advanced Intelligent Systems and Informatics 2017. ed. / Mohamed F. Tolba; Tarek Gaber; Khaled Shaalan; Aboul Ella Hassanien. Springer, 2017. p. 500-510 (Advances in Intelligent Systems and Computing; Vol. 639).

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

TY - GEN

T1 - Enhancing semantic Arabic information retrieval via Arabic Wikipedia assisted search expansion layer

AU - Amer, Eslam

AU - Khalil, Heba M.

AU - El-Shistawy, Tarek

PY - 2017/8/31

Y1 - 2017/8/31

N2 - Deducing user intent of query texts is one of the challenging areas in semantic search engines to improve generalization and relevancy of query results. Most of the existing works rely on semantic ontologies to provide such knowledge. Nevertheless, semantic ontologies are not complete in many languages such as Arabic. This research proposes Arabic Wikipedia Assisted Search Expansion Layer (AWASEL), a system that enhances semantic text retrieval relying on Arabic Wikipedia. AWASEL intend to improve search results by adding relevant cross concepts to the original user’s query. The system is evaluated against Arabic news titles and headlines. In most cases, AWASEL was able to extract distinct documents which cover related background information needed to understand the news topic. Experimental evaluation of AWASEL showed that in terms of relevancy, it achieves precision 83.5% and recall 85.3%, and in terms of generalization, retrieved results are higher than initial user’s query represent for extracted results.

AB - Deducing user intent of query texts is one of the challenging areas in semantic search engines to improve generalization and relevancy of query results. Most of the existing works rely on semantic ontologies to provide such knowledge. Nevertheless, semantic ontologies are not complete in many languages such as Arabic. This research proposes Arabic Wikipedia Assisted Search Expansion Layer (AWASEL), a system that enhances semantic text retrieval relying on Arabic Wikipedia. AWASEL intend to improve search results by adding relevant cross concepts to the original user’s query. The system is evaluated against Arabic news titles and headlines. In most cases, AWASEL was able to extract distinct documents which cover related background information needed to understand the news topic. Experimental evaluation of AWASEL showed that in terms of relevancy, it achieves precision 83.5% and recall 85.3%, and in terms of generalization, retrieved results are higher than initial user’s query represent for extracted results.

KW - Arabic wikipedia

KW - Natural language processing

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A2 - Tolba, Mohamed F.

A2 - Gaber, Tarek

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A2 - Hassanien, Aboul Ella

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Y2 - 9 September 2017 through 11 September 2017

ER -

Amer E, Khalil HM, El-Shistawy T. Enhancing semantic Arabic information retrieval via Arabic Wikipedia assisted search expansion layer. In Tolba MF, Gaber T, Shaalan K, Hassanien AE, editors, Proceedings of the International Conference on Advanced Intelligent Systems and Informatics 2017. Springer. 2017. p. 500-510. (Advances in Intelligent Systems and Computing). doi: 10.1007/978-3-319-64861-3_47

Enhancing semantic Arabic information retrieval via Arabic Wikipedia assisted search expansion layer

Abstract

Publication series

Conference

Keywords

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