Abstract
Advancements in technologies such as DNA analysis have given rise to new ways in organizing organisms in biodiversity classification systems. In this paper, we examine the feasibility of aligning two classification systems for flowering plants using a logic-based, Region Connection Calculus (RCC-5) approach. The older "Cronquist system" (1981) classifies plants using their morphological features, while the more recent Angiosperm Phylogeny Group IV (APG IV) (2016) system classifies based on many new methods including genome- level analysis. In our approach, we align pairwise concepts X and Y from two taxonomies using five basic set relations: Congruence (X=Y), inclusion (X>Y), inverse inclusion (X<Y), overlap (X><Y), and disjointness (X!Y). With some of the RCC-5 relationships among the Fabaceae family (beans family) and the Sapindaceae family (maple family) uncertain, we anticipate that the merging of the two classification systems will lead to numerous merged solutions, socalled possible worlds. Our research demonstrates how logic-based alignment with ambiguities can lead to multiple merged solutions, which would not have been feasible when aligning taxonomies, classifications, or other knowledge organization systems (KOS) manually. We believe that this work can introduce a novel approach for aligning KOS, where merged possible worlds can serve as a minimum viable product for engaging domain experts in the loop.
| Original language | English (US) |
|---|---|
| Pages (from-to) | 53-63 |
| Number of pages | 11 |
| Journal | CEUR Workshop Proceedings |
| Volume | 2200 |
| State | Published - Jan 1 2018 |
| Event | 18th European Networked Knowledge Organization Systems Workshop, NKOS 2018 - Porto, Portugal Duration: Sep 13 2018 → … |
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Keywords
- Interoperability
- KOS alignment
- Raxonomy alignment
ASJC Scopus subject areas
- Computer Science(all)
Cite this
Full of beans : A study on the alignment of two flowering plants classification systems. / Cheng, Yi Yun; Ludaescher, Bertram.
In: CEUR Workshop Proceedings, Vol. 2200, 01.01.2018, p. 53-63.Research output: Contribution to journal › Conference article
}
TY - JOUR
T1 - Full of beans
T2 - A study on the alignment of two flowering plants classification systems
AU - Cheng, Yi Yun
AU - Ludaescher, Bertram
PY - 2018/1/1
Y1 - 2018/1/1
N2 - Advancements in technologies such as DNA analysis have given rise to new ways in organizing organisms in biodiversity classification systems. In this paper, we examine the feasibility of aligning two classification systems for flowering plants using a logic-based, Region Connection Calculus (RCC-5) approach. The older "Cronquist system" (1981) classifies plants using their morphological features, while the more recent Angiosperm Phylogeny Group IV (APG IV) (2016) system classifies based on many new methods including genome- level analysis. In our approach, we align pairwise concepts X and Y from two taxonomies using five basic set relations: Congruence (X=Y), inclusion (X>Y), inverse inclusion (X<Y), overlap (X><Y), and disjointness (X!Y). With some of the RCC-5 relationships among the Fabaceae family (beans family) and the Sapindaceae family (maple family) uncertain, we anticipate that the merging of the two classification systems will lead to numerous merged solutions, socalled possible worlds. Our research demonstrates how logic-based alignment with ambiguities can lead to multiple merged solutions, which would not have been feasible when aligning taxonomies, classifications, or other knowledge organization systems (KOS) manually. We believe that this work can introduce a novel approach for aligning KOS, where merged possible worlds can serve as a minimum viable product for engaging domain experts in the loop.
AB - Advancements in technologies such as DNA analysis have given rise to new ways in organizing organisms in biodiversity classification systems. In this paper, we examine the feasibility of aligning two classification systems for flowering plants using a logic-based, Region Connection Calculus (RCC-5) approach. The older "Cronquist system" (1981) classifies plants using their morphological features, while the more recent Angiosperm Phylogeny Group IV (APG IV) (2016) system classifies based on many new methods including genome- level analysis. In our approach, we align pairwise concepts X and Y from two taxonomies using five basic set relations: Congruence (X=Y), inclusion (X>Y), inverse inclusion (X<Y), overlap (X><Y), and disjointness (X!Y). With some of the RCC-5 relationships among the Fabaceae family (beans family) and the Sapindaceae family (maple family) uncertain, we anticipate that the merging of the two classification systems will lead to numerous merged solutions, socalled possible worlds. Our research demonstrates how logic-based alignment with ambiguities can lead to multiple merged solutions, which would not have been feasible when aligning taxonomies, classifications, or other knowledge organization systems (KOS) manually. We believe that this work can introduce a novel approach for aligning KOS, where merged possible worlds can serve as a minimum viable product for engaging domain experts in the loop.
KW - Interoperability
KW - KOS alignment
KW - Raxonomy alignment
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M3 - Conference article
AN - SCOPUS:85053867660
VL - 2200
SP - 53
EP - 63
JO - CEUR Workshop Proceedings
JF - CEUR Workshop Proceedings
SN - 1613-0073
ER -