Requirements for a System Architecture for the Analysis of Scientific Texts

被引：0
作者：
Baumgart, Matthias [1 ]
Roschke, Christian [1 ]
Vodel, Matthias [1 ]
Ritter, Marc [1 ]
机构：
[1] Univ Appl Sci Mittweida, Tech Pl 17, D-09648 Mittweida, Germany
来源：
PROCEEDINGS OF SEVENTH INTERNATIONAL CONGRESS ON INFORMATION AND COMMUNICATION TECHNOLOGY, VOL 4 | 2023年 / 465卷
关键词：
Text analysis; Data quality; Requirements analysis;
D O I：
10.1007/978-981-19-2397-5_50
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
The creation of scientific research proposals and publications leads to a high effort for scientists, which has increased significantly in recent years. At the same time, technologies from the fields of information retrieval, machine learning, and semantic technologies offer potentials to relieve scientists and to increase the quality of scientific texts. Taking these technologies into account, this paper focuses on the determination of requirements for a generalistic system that enables the automated assessment of the text quality of scientific texts. First, a criterion-based requirements analysis was performed. As a result, ten specific criteria were identified and enriched by quality-dependent criteria. These formed the basis for the derivation of a total of 26 non-functional and qualitative requirements. These were analyzed, and dependencies were checked and transferred into a total of four requirement clusters. The requirement clusters comprise the requirements for data quality, text analysis, text quality assessment, and other qualitative requirements. Thus, a basis for the creation of a system architecture was created, which annotates, trains and evaluates texts, and contributes to the assessment of the text quality of scientific texts.
引用
收藏
页码：551 / 567
页数：17
相关论文
共 29 条
  • [1] AbranA Moore JW, 2004, SWEBOK GUIDE SOFTWAR, P2
  • [2] Applying ISO/IEC 25010 Standard to prioritize and solve quality issues of automatic ETL processes
    Alves, Tiago L.
    Silva, Pedro
    Dias, Miguel Sales
    [J]. 2014 IEEE INTERNATIONAL CONFERENCE ON SOFTWARE MAINTENANCE AND EVOLUTION (ICSME), 2014, : 573 - 576
  • [3] [Anonymous], 2021, Ethnologue
  • [4] Balzert H., 2011, LEHRBUCH SOFTWARETEC, DOI [10.1007/978-3-8274-2246-0_9, DOI 10.1007/978-3-8274-2246-0_9]
  • [5] Bickel MW, 2021, DIGITALISIERUNG NACH, DOI [10.1007/978-3-662-615 34-8_8, DOI 10.1007/978-3-662-61534-8_8]
  • [6] Bohmer S, 2011, 8 IFQ, P185
  • [7] Boy B, 2020, SCI SLAM, P227, DOI [10.1007/978-3-658-28861-7_12, DOI 10.1007/978-3-658-28861-7_12]
  • [8] Carstensen K-U, 2010, COMPUTERLINGUISTIK S, DOI [10.1007/978-3-8274-2224-8_1, DOI 10.1007/978-3-8274-2224-8_1]
  • [9] Chang G, 2001, INFORM RETRIEVAL SER, V10, P94, DOI [10.1007/978-1-4615-1639-2_7, DOI 10.1007/978-1-4615-1639-2_7]
  • [10] CRUD, 2021, CRUDLEX
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