SEAL: Semantically Enriched Authoring in LATEX—A Model for Scientific Discourse
Semantic tags can enrich citation graphs by inter-connecting papers with citation reasons. One of the best sources of knowledge to tell the reason for citation is the author himself. Integrating these reasons in an authoring system can help authors to choose a reason while citing. We examined variou...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
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IEEE
2022-01-01
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| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/9690872/ |
| _version_ | 1818897119220596736 |
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| author | Imran Ihsan Mohib Ullah Rafi Ullah Khan M. Irfan Uddin Abdullah Alharbi Wael Alosaimi |
| author_facet | Imran Ihsan Mohib Ullah Rafi Ullah Khan M. Irfan Uddin Abdullah Alharbi Wael Alosaimi |
| author_sort | Imran Ihsan |
| collection | DOAJ |
| description | Semantic tags can enrich citation graphs by inter-connecting papers with citation reasons. One of the best sources of knowledge to tell the reason for citation is the author himself. Integrating these reasons in an authoring system can help authors to choose a reason while citing. We examined various Human and Automatic authoring systems for integration of citation reasons. However, to the best of our knowledge, no such system exists that facilities authors to integrate the reasons while citing. Same is the case with Cite Packages. This research proposes integration of <italic>CCRO</italic>:Citations’ Context and Reasons Ontology’s (Ihsan and Qadir, 2019) taxonomic hierarchy of reasons within document. We have developed a <italic>CCRO</italic> Package to semantically tag citations with reasons and to create an intra-discourse relation between research articles. Furthermore, embedding these structures within <italic>RDF</italic> Data Store enables the creation of knowledge graphs that become a foundation artifact for the Semantic & Scientific Discourse. |
| first_indexed | 2024-12-19T19:11:06Z |
| format | Article |
| id | doaj.art-3d8af624676a41299c2c3c95bd5d15e7 |
| institution | Directory Open Access Journal |
| issn | 2169-3536 |
| language | English |
| last_indexed | 2024-12-19T19:11:06Z |
| publishDate | 2022-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Access |
| spelling | doaj.art-3d8af624676a41299c2c3c95bd5d15e72022-12-21T20:09:17ZengIEEEIEEE Access2169-35362022-01-0110135251353510.1109/ACCESS.2022.31459549690872SEAL: Semantically Enriched Authoring in LATEX—A Model for Scientific DiscourseImran Ihsan0https://orcid.org/0000-0002-3447-4576Mohib Ullah1https://orcid.org/0000-0003-0534-8826Rafi Ullah Khan2https://orcid.org/0000-0002-0229-7747M. Irfan Uddin3https://orcid.org/0000-0002-1355-3881Abdullah Alharbi4Wael Alosaimi5https://orcid.org/0000-0002-6940-9483Department of Creative Technologies, FCAI, Air University, Islamabad, PakistanInstitute Computer Science and Information Technology, The University of Agriculture Peshawar, Peshawar, PakistanInstitute Computer Science and Information Technology, The University of Agriculture Peshawar, Peshawar, PakistanInstitute of Computing, Kohat University of Science and Technology, Kohat, PakistanDepartment of Information Technology, College of Computers and Information Technology, Taif University, Taif, Saudi ArabiaDepartment of Information Technology, College of Computers and Information Technology, Taif University, Taif, Saudi ArabiaSemantic tags can enrich citation graphs by inter-connecting papers with citation reasons. One of the best sources of knowledge to tell the reason for citation is the author himself. Integrating these reasons in an authoring system can help authors to choose a reason while citing. We examined various Human and Automatic authoring systems for integration of citation reasons. However, to the best of our knowledge, no such system exists that facilities authors to integrate the reasons while citing. Same is the case with Cite Packages. This research proposes integration of <italic>CCRO</italic>:Citations’ Context and Reasons Ontology’s (Ihsan and Qadir, 2019) taxonomic hierarchy of reasons within document. We have developed a <italic>CCRO</italic> Package to semantically tag citations with reasons and to create an intra-discourse relation between research articles. Furthermore, embedding these structures within <italic>RDF</italic> Data Store enables the creation of knowledge graphs that become a foundation artifact for the Semantic & Scientific Discourse.https://ieeexplore.ieee.org/document/9690872/Semantic annotationsemantic authoringscientific discoursecitation Indicatorscitation behaviorsontology |
| spellingShingle | Imran Ihsan Mohib Ullah Rafi Ullah Khan M. Irfan Uddin Abdullah Alharbi Wael Alosaimi SEAL: Semantically Enriched Authoring in LATEX—A Model for Scientific Discourse IEEE Access Semantic annotation semantic authoring scientific discourse citation Indicators citation behaviors ontology |
| title | SEAL: Semantically Enriched Authoring in LATEX—A Model for Scientific Discourse |
| title_full | SEAL: Semantically Enriched Authoring in LATEX—A Model for Scientific Discourse |
| title_fullStr | SEAL: Semantically Enriched Authoring in LATEX—A Model for Scientific Discourse |
| title_full_unstemmed | SEAL: Semantically Enriched Authoring in LATEX—A Model for Scientific Discourse |
| title_short | SEAL: Semantically Enriched Authoring in LATEX—A Model for Scientific Discourse |
| title_sort | seal semantically enriched authoring in latex x2014 a model for scientific discourse |
| topic | Semantic annotation semantic authoring scientific discourse citation Indicators citation behaviors ontology |
| url | https://ieeexplore.ieee.org/document/9690872/ |
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