Hierarchical Data Management
Hierarchical Data Management is a data management framework that organizes master data elements into structured, parent-child relationships to enable consistent, traceable, and context-aware management of data hierarchies within an enterprise system.
131
Publications
5.9K
Citations
428
Authors
167
Institutions
Publications per year
2017–2026
23
Parents
131
SW-Store: a vertically partitioned DBMS for Semantic Web data management
Daniel J. Abadi, Adam Marcus, Samuel Madden et al. · The VLDB Journal · 2009 · 355 citations
Comparing Hierarchical Data in External Memory
Sudarshan S. Chawathe · 1999 · 181 citations
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167
Nanyang Technological University
Singapore, Singapore
3 h-index
12 publications
211 citations
University of Arizona
Tucson, United States
3 h-index
9 publications
1.1K citations
University of Pennsylvania
Philadelphia, United States
3 h-index
5 publications
405 citations
University of Wisconsin–Madison
Madison, United States
2 h-index
2 publications
62 citations
Japan Advanced Institute of Science and Technology
Nomi Shi, Japan
2 h-index
2 publications
219 citations
Stanford University
Stanford, United States
2 h-index
5 publications
663 citations
Technical University of Munich
Munich, Germany
2 h-index
7 publications
193 citations
University of Illinois Urbana-Champaign
Urbana, United States
2 h-index
4 publications
115 citations
1–8 of 167
2 publications · 86 citations
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TODS · 2 publications · 156 citations
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JNCA · 2 publications · 37 citations
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2 publications · 368 citations
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2 publications · 20 citations
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