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Makhtota+: enhancing old Arabic manuscripts with linked data

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IIWAS '12: Proceedings of the 14th International Conference on Information Integration and Web-based Applications & Services

December 2012

Pages 323 - 327

https://doi.org/10.1145/2428736.2428794

Published: 03 December 2012 Publication History

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Abstract

In the past few years, a great attention has been paid for digitizing and indexing cultural heritage resources, particularly Arabic manuscripts. Most Arabic manuscript libraries use traditional metadata for describing its resources. They also provide little or no support for annotation. In this paper we propose a system that extends one of the popular Arabic manuscripts libraries, Makhtota maintained by King Saud University, with a document level semantic metadata. The system will also propose the use of a manual annotation mechanism to enrich manuscripts' pages with linked data.

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Cited By

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Alqarni ANoaman KAL-Aswadi FAlshalabi H(2023)A Bottom-Up 2-Stage Approach for Constructing Arabic Knowledge GraphAdvances on Intelligent Computing and Data Science10.1007/978-3-031-36258-3_5(53-63)Online publication date: 17-Aug-2023
https://doi.org/10.1007/978-3-031-36258-3_5
Ahmed IAL-Aswadi FNoaman KAlma'aitah W(2022)Arabic Knowledge Graph Construction: A close look in the present and into the futureJournal of King Saud University - Computer and Information Sciences10.1016/j.jksuci.2022.04.00734:9(6505-6523)Online publication date: Oct-2022
https://doi.org/10.1016/j.jksuci.2022.04.007
Ktob ALi Z(2018)MarefaInternational Journal on Semantic Web & Information Systems10.4018/IJSWIS.201807010814:3(167-183)Online publication date: 1-Jul-2018
https://dl.acm.org/doi/10.4018/IJSWIS.2018070108
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Makhtota+: enhancing old Arabic manuscripts with linked data
1. Information systems
  1. Information systems applications

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Published In

IIWAS '12: Proceedings of the 14th International Conference on Information Integration and Web-based Applications & Services

December 2012

432 pages

ISBN:9781450313063

DOI:10.1145/2428736

General Chair:
Eric Pardede
La Trobe University, Australia

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Published: 03 December 2012

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IIWAS '12: The 14th International Conference on Information Integration and Web-based Applications & Services

December 3 - 5, 2012

Bali, Indonesia

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Alqarni ANoaman KAL-Aswadi FAlshalabi H(2023)A Bottom-Up 2-Stage Approach for Constructing Arabic Knowledge GraphAdvances on Intelligent Computing and Data Science10.1007/978-3-031-36258-3_5(53-63)Online publication date: 17-Aug-2023
https://doi.org/10.1007/978-3-031-36258-3_5
Ahmed IAL-Aswadi FNoaman KAlma'aitah W(2022)Arabic Knowledge Graph Construction: A close look in the present and into the futureJournal of King Saud University - Computer and Information Sciences10.1016/j.jksuci.2022.04.00734:9(6505-6523)Online publication date: Oct-2022
https://doi.org/10.1016/j.jksuci.2022.04.007
Ktob ALi Z(2018)MarefaInternational Journal on Semantic Web & Information Systems10.4018/IJSWIS.201807010814:3(167-183)Online publication date: 1-Jul-2018
https://dl.acm.org/doi/10.4018/IJSWIS.2018070108
Ktob ALi Z(2017)The Arabic Knowledge Graph: Opportunities and Challenges2017 IEEE 11th International Conference on Semantic Computing (ICSC)10.1109/ICSC.2017.22(48-52)Online publication date: 2017
https://doi.org/10.1109/ICSC.2017.22
Soualah MAit Ali Yahia YKeita AGuessoum A(2017)Dynamic cataloguing of the old Arabic manuscripts by automatic extraction of metadataLibrary Hi Tech10.1108/LHT-07-2016-007635:2(251-270)Online publication date: 19-Jun-2017
https://doi.org/10.1108/LHT-07-2016-0076

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A deep learning based system for writer identification in handwritten Arabic historical manuscripts

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