TY - JOUR
T1 - A CATEGORY-THEORY APPROACH for CONSTRUCTION ONTOLOGIES in SUBSURFACE MASS TRANSIT
AU - Agostini, Gabriel S.
AU - Zhang, Yushan
AU - Laefer, Debra F.
N1 - Funding Information:
This work was partially funded by the 2020 Summer Undergraduate Research Program at NYU Tandon School of Engineering. Data was made available through the “Creation of an Ontology for Subways” project by the Army Research Laboratory, under a subaward via Dignitas Technologies.
Funding Information:
This work was partially funded by the 2020 Summer Undergraduate Research Program at NYU Tandon School of Engineering. Data was made available through the "Creation of an Ontology for Subways" project by the Army Research Laboratory, under a subaward via Dignitas Technologies.
Publisher Copyright:
© 2021 G. S. Agostini et al.
PY - 2021/10/7
Y1 - 2021/10/7
N2 - The construction and expansion of subway systems represents an important step towards better livability conditions in a rapidly urbanizing world. However, underground construction has not benefited from well-established ontologies of semantic and geometric representation, such as Building Information Modelling (which is used for standalone structures) and City Geography Markup Language (which is designed for continuous urban elements). To bridge that gap, this paper proposes a novel and highly flexible means to underpin a relevant ontology. The approach uses the ontology log, or olog, a model of knowledge representation based on Category Theory. In an olog, dependencies between objects are restricted to functional relationships (for every object there is a unique correspondence). This robust mathematical formulation allows for a more flexible, yet also informative and user-readable model of the studied entities. In this paper, the olog's usability is demonstrated through the ontological representation of common items in the fare-control areas of two New York City metro stations. Ologs are shown to capture similar underlying structures both across different stations and within the same station. Importantly, the olog allows for further generalization to incorporate pre-existing data, as well as being a transferable framework for conceptualizations of other metro systems.
AB - The construction and expansion of subway systems represents an important step towards better livability conditions in a rapidly urbanizing world. However, underground construction has not benefited from well-established ontologies of semantic and geometric representation, such as Building Information Modelling (which is used for standalone structures) and City Geography Markup Language (which is designed for continuous urban elements). To bridge that gap, this paper proposes a novel and highly flexible means to underpin a relevant ontology. The approach uses the ontology log, or olog, a model of knowledge representation based on Category Theory. In an olog, dependencies between objects are restricted to functional relationships (for every object there is a unique correspondence). This robust mathematical formulation allows for a more flexible, yet also informative and user-readable model of the studied entities. In this paper, the olog's usability is demonstrated through the ontological representation of common items in the fare-control areas of two New York City metro stations. Ologs are shown to capture similar underlying structures both across different stations and within the same station. Importantly, the olog allows for further generalization to incorporate pre-existing data, as well as being a transferable framework for conceptualizations of other metro systems.
KW - BIM
KW - Category Theory
KW - Metro
KW - Olog
KW - Ontology
KW - Underground
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U2 - 10.5194/isprs-archives-XLVI-4-W4-2021-125-2021
DO - 10.5194/isprs-archives-XLVI-4-W4-2021-125-2021
M3 - Conference article
AN - SCOPUS:85118298084
SN - 1682-1750
VL - 46
SP - 125
EP - 130
JO - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives
JF - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives
IS - 4/W4-2021
T2 - 16th 3D GeoInfo Conference 2021
Y2 - 11 October 2021 through 14 October 2021
ER -