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Cheng, Y.-Y.; Xia, Y.: ¬A systematic review of methods for aligning, mapping, merging taxonomies in information sciences (2023)
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- Abstract
- The purpose of this study is to provide a systematic literature review on taxonomy alignment methods in information science to explore the common research pipeline and characteristics. Design/methodology/approach The authors implement a five-step systematic literature review process relating to taxonomy alignment. They take on a knowledge organization system (KOS) perspective, and specifically examining the level of KOS on "taxonomies." Findings They synthesize the matching dimensions of 28 taxonomy alignment studies in terms of the taxonomy input, approach and output. In the input dimension, they develop three characteristics: tree shapes, variable names and symmetry; for approach: methodology, unit of matching, comparison type and relation type; for output: the number of merged solutions and whether original taxonomies are preserved in the solutions. Research limitations/implications The main research implications of this study are threefold: (1) to enhance the understanding of the characteristics of a taxonomy alignment work; (2) to provide a novel categorization of taxonomy alignment approaches into natural language processing approach, logic-based approach and heuristic-based approach; (3) to provide a methodological guideline on the must-include characteristics for future taxonomy alignment research. Originality/value There is no existing comprehensive review on the alignment of "taxonomies". Further, no other mapping survey research has discussed the comparison from a KOS perspective. Using a KOS lens is critical in understanding the broader picture of what other similar systems of organizations are, and enables us to define taxonomies more precisely.
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Candela, G.: ¬An automatic data quality approach to assess semantic data from cultural heritage institutions (2023)
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- Date
- 22. 6.2023 18:23:31
- Source
- Journal of the Association for Information Science and Technology. 74(2023) no.7, S.866-878
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Hider, P.; Coe, M.: Academic disciplines in the context of library classification : mapping university faculty structures to the DDC and LCC schemes (2022)
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- Date
- 29. 9.2022 17:15:48
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Marcondes, C.H.: Towards a vocabulary to implement culturally relevant relationships between digital collections in heritage institutions (2020)
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- Date
- 4. 3.2020 14:22:41
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Kahlawi, A,: ¬An ontology driven ESCO LOD quality enhancement (2020)
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- Source
- International journal of advanced computer science and applications 11(2020) no.3
