TOWARD AN ARABIC QUESTION ANSWERING SYSTEM OVER LINKED DATA
The increasing interest in Arabic natural language processing and semantic Web research involves an emerging need to the development of new Question Answering Systems (QAS). These systems allow users to ask a question in Arabic natural language and get the relevant answer. However, most existing QA...
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| Format: | Article |
| Language: | English |
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Scientific Research Support Fund of Jordan (SRSF) and Princess Sumaya University for Technology (PSUT)
2018-08-01
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| Series: | Jordanian Journal of Computers and Information Technology |
| Subjects: | |
| Online Access: | http://jjcit.org/Volume%2004,%20Number%2002/3-DOI%2010.5455-jjcit.71-1514749838.pdf |
| _version_ | 1819137505285373952 |
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| author | A. Bouziane D. Bouchiha N. Doumi M. Malki |
| author_facet | A. Bouziane D. Bouchiha N. Doumi M. Malki |
| author_sort | A. Bouziane |
| collection | DOAJ |
| description | The increasing interest in Arabic natural language processing and semantic Web research involves an emerging need to the development of new Question Answering Systems (QAS). These systems allow users to ask a question in Arabic natural language and get the relevant answer. However, most existing QA systems focused on English and Latin-based languages. Less effort has been concentrated on the Arabic language, which belongs to "Semitic Languages". This work is an early version of a new domain-independent Arabic question answering system over linked data, which aims to particularly help Arab users to explore the Arabic Semantic Web based on Arabic ontology. We describe with sufficient details the different modules of our proposed system, which uses language parser, finite state automaton and semantic Web techniques to linguistically process and answer Arabic natural language question. Experiments have been carried out to evaluate and show efficiency of the proposed system. |
| first_indexed | 2024-12-22T10:51:56Z |
| format | Article |
| id | doaj.art-3bee33f9e1f44c628cd3d82f65c2b9cc |
| institution | Directory Open Access Journal |
| issn | 2413-9351 2415-1076 |
| language | English |
| last_indexed | 2024-12-22T10:51:56Z |
| publishDate | 2018-08-01 |
| publisher | Scientific Research Support Fund of Jordan (SRSF) and Princess Sumaya University for Technology (PSUT) |
| record_format | Article |
| series | Jordanian Journal of Computers and Information Technology |
| spelling | doaj.art-3bee33f9e1f44c628cd3d82f65c2b9cc2022-12-21T18:28:45ZengScientific Research Support Fund of Jordan (SRSF) and Princess Sumaya University for Technology (PSUT)Jordanian Journal of Computers and Information Technology2413-93512415-10762018-08-014210211510.5455/jjcit.71-1514749838TOWARD AN ARABIC QUESTION ANSWERING SYSTEM OVER LINKED DATAA. Bouziane0D. Bouchiha 1N. Doumi 2M. Malki3EEDIS Lab., Ctr. Univ. Naama, Inst. Sciences and Technologies, Dept. Mathematics and Computer Science, AlgeriaEEDIS Lab., Ctr. Univ. Naama, Inst. Sciences and Technologies, Dept. Mathematics and Computer Science, AlgeriaUniversity of Saida, Dept. of Computer Science, AlgeriaLab RI- Sidi Bel-Abbes Ecole Supérieure en Informatique de Sidi Bel-abbes, AlgeriaThe increasing interest in Arabic natural language processing and semantic Web research involves an emerging need to the development of new Question Answering Systems (QAS). These systems allow users to ask a question in Arabic natural language and get the relevant answer. However, most existing QA systems focused on English and Latin-based languages. Less effort has been concentrated on the Arabic language, which belongs to "Semitic Languages". This work is an early version of a new domain-independent Arabic question answering system over linked data, which aims to particularly help Arab users to explore the Arabic Semantic Web based on Arabic ontology. We describe with sufficient details the different modules of our proposed system, which uses language parser, finite state automaton and semantic Web techniques to linguistically process and answer Arabic natural language question. Experiments have been carried out to evaluate and show efficiency of the proposed system.http://jjcit.org/Volume%2004,%20Number%2002/3-DOI%2010.5455-jjcit.71-1514749838.pdfQuestion answering systemNatural language processing (NLP)Linked dataArabic languageSemantic WebOntologySPARQL |
| spellingShingle | A. Bouziane D. Bouchiha N. Doumi M. Malki TOWARD AN ARABIC QUESTION ANSWERING SYSTEM OVER LINKED DATA Jordanian Journal of Computers and Information Technology Question answering system Natural language processing (NLP) Linked data Arabic language Semantic Web Ontology SPARQL |
| title | TOWARD AN ARABIC QUESTION ANSWERING SYSTEM OVER LINKED DATA |
| title_full | TOWARD AN ARABIC QUESTION ANSWERING SYSTEM OVER LINKED DATA |
| title_fullStr | TOWARD AN ARABIC QUESTION ANSWERING SYSTEM OVER LINKED DATA |
| title_full_unstemmed | TOWARD AN ARABIC QUESTION ANSWERING SYSTEM OVER LINKED DATA |
| title_short | TOWARD AN ARABIC QUESTION ANSWERING SYSTEM OVER LINKED DATA |
| title_sort | toward an arabic question answering system over linked data |
| topic | Question answering system Natural language processing (NLP) Linked data Arabic language Semantic Web Ontology SPARQL |
| url | http://jjcit.org/Volume%2004,%20Number%2002/3-DOI%2010.5455-jjcit.71-1514749838.pdf |
| work_keys_str_mv | AT abouziane towardanarabicquestionansweringsystemoverlinkeddata AT dbouchiha towardanarabicquestionansweringsystemoverlinkeddata AT ndoumi towardanarabicquestionansweringsystemoverlinkeddata AT mmalki towardanarabicquestionansweringsystemoverlinkeddata |