2019/06/18 by Mohsen Ahmadvand, Ahmadvand, Mohsen, Amjad Ibrahim +3
Biochemistry, Genetics and Molecular Biology · Computer Science · #Advanced Text Analysis Techniques #Biomedical Text Mining and Ontologies #Digital Libraries (cs.DL) #FOS: Computer and information sciences #Semantic Web and Ontologies #cs.DL
paper · pdf · doi:10.48550/arxiv.1906.11217
arxiv created 2019/06/18 · openalex publication_date 2019/06/18 · arxiv updated 2019/06/27 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28
Structuring related work is a daunting task encompassing literature review, classification, comparison (primarily in the form of concepts), and gap analysis. Building taxonomies is a compelling way to structure concepts in the literature yielding reusable and extensible models. However, constructing taxonomies as a product of literature reviews could become, to our experiences, immensely complex and error-prone. Including new literature or addressing errors may cause substantial changes (ripple effects) in taxonomies coping with which requires adequate tools. To this end, we propose a Taxonomy-as-a-Service (TaaS) platform. TaaS combines the systematic paper review process with taxonomy development, visualization, and analysis capabilities. We evaluate the effectiveness and efficiency of our platform by employing it in the development of a real-world taxonomy. Our results indicate that our TaaS can be used to effectively craft and maintain UML-conforming taxonomies and thereby structure related work. The screencast of our tool demonstration is available at \urlhttps://goo.gl/GsTjsP.