{"title":"发展《古兰经》阿拉伯-英语双语本体","authors":"Mohammad M. Alqahtani, E. Atwell","doi":"10.1109/ASAR.2018.8480237","DOIUrl":null,"url":null,"abstract":"The main aim of developing a Quranic ontology is to facilitate the retrieval of knowledge from Al-Quran. Additionally, Quranic ontologies will enrich the raw Arabic and English Quran text with Islamic semantic tags. However, current Quran ontologies have different: scopes, formats, and entity names for the same concepts. Additionally, a single Quranic ontology does not cover most of the knowledge in Al-Quran. Therefore, these ontologies need to be increased, normalised, aligned and combined with other Quran resources such as Quran chapter and verse names, Quran word meanings, and other Quranic datasets. This paper reviews current Quran ontologies and datasets. Then, it presents several stages for developing Arabic-English Quran ontologies from different datasets related to Al Quran.","PeriodicalId":165564,"journal":{"name":"2018 IEEE 2nd International Workshop on Arabic and Derived Script Analysis and Recognition (ASAR)","volume":"77 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-03-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":"{\"title\":\"Developing Bilingual Arabic-English Ontologies of Al-Quran\",\"authors\":\"Mohammad M. Alqahtani, E. Atwell\",\"doi\":\"10.1109/ASAR.2018.8480237\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The main aim of developing a Quranic ontology is to facilitate the retrieval of knowledge from Al-Quran. Additionally, Quranic ontologies will enrich the raw Arabic and English Quran text with Islamic semantic tags. However, current Quran ontologies have different: scopes, formats, and entity names for the same concepts. Additionally, a single Quranic ontology does not cover most of the knowledge in Al-Quran. Therefore, these ontologies need to be increased, normalised, aligned and combined with other Quran resources such as Quran chapter and verse names, Quran word meanings, and other Quranic datasets. This paper reviews current Quran ontologies and datasets. Then, it presents several stages for developing Arabic-English Quran ontologies from different datasets related to Al Quran.\",\"PeriodicalId\":165564,\"journal\":{\"name\":\"2018 IEEE 2nd International Workshop on Arabic and Derived Script Analysis and Recognition (ASAR)\",\"volume\":\"77 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2018-03-12\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"5\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2018 IEEE 2nd International Workshop on Arabic and Derived Script Analysis and Recognition (ASAR)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ASAR.2018.8480237\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 IEEE 2nd International Workshop on Arabic and Derived Script Analysis and Recognition (ASAR)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ASAR.2018.8480237","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Developing Bilingual Arabic-English Ontologies of Al-Quran
The main aim of developing a Quranic ontology is to facilitate the retrieval of knowledge from Al-Quran. Additionally, Quranic ontologies will enrich the raw Arabic and English Quran text with Islamic semantic tags. However, current Quran ontologies have different: scopes, formats, and entity names for the same concepts. Additionally, a single Quranic ontology does not cover most of the knowledge in Al-Quran. Therefore, these ontologies need to be increased, normalised, aligned and combined with other Quran resources such as Quran chapter and verse names, Quran word meanings, and other Quranic datasets. This paper reviews current Quran ontologies and datasets. Then, it presents several stages for developing Arabic-English Quran ontologies from different datasets related to Al Quran.
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