SEAL: Semantically Enriched Authoring in LATEX—A Model for Scientific Discourse

IEEE Access

卷:10

Imran Ihsan¹  Abdullah Alharbi²  Wael Alosaimi²  Mohib Ullah³  Rafi Ullah Khan³  M. Irfan Uddin⁴ 

[1] Department of Creative Technologies, FCAI, Air University, Islamabad, Pakistan;

[2] Department of Information Technology, College of Computers and Information Technology, Taif University, Taif, Saudi Arabia;

[3] Institute Computer Science and Information Technology, The University of Agriculture Peshawar, Peshawar, Pakistan;

[4] Institute of Computing, Kohat University of Science and Technology, Kohat, Pakistan;

关键词: Semantic annotation;    semantic authoring;    scientific discourse;    citation Indicators;    citation behaviors;    ontology;   

DOI  :  10.1109/ACCESS.2022.3145954

来源: DOAJ

【 摘 要 】

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 CCRO:Citations’ Context and Reasons Ontology’s (Ihsan and Qadir, 2019) taxonomic hierarchy of reasons within document. We have developed a CCRO Package to semantically tag citations with reasons and to create an intra-discourse relation between research articles. Furthermore, embedding these structures within RDF Data Store enables the creation of knowledge graphs that become a foundation artifact for the Semantic & Scientific Discourse.

【 授权许可】

Unknown