SustainOnt: An ontology for defining an index of neighborhood sustainability across domains

Vatricia Edgar, Cecilia La Place, Julia Schmidt, Ajay Bansal, Srividya Bansal

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Massive amounts of data, both structured and unstructured, are available to be harvested for competitive business advantage, sound government policies, and new insights in a broad array of applications. This paper specifically focuses on extraction, integration, and querying of open data available about environmental sustainability. The global trend toward urbanization has created a need for residents of urban neighborhoods to better understand the factors impacting the social, environmental, and economic sustainability of an area. To date, there is no concise representation of all aspects of sustainability. This paper aims to fill this gap. A version of sustainability resting on economic, societal, and environmental development as the three main indicators was chosen to inform an ontology called SustainOnt used to organize and analyze relevant data from various sources. The newly-linked data is made available through a dual-platform application aimed at reaching a wide array of audiences. An initial prototype has been designed, using data for a small region, to provide a sustainability index of each city and/or neighborhood area that can be more accessible to people without the means to directly analyze the available data.

Original languageEnglish (US)
Title of host publicationProceedings of the International Workshop on on Semantic Big Data, SBD 2020 - In conjunction with the 2020 ACM SIGMOD/PODS Conference
EditorsSven Groppe, Le Gruenwald, Valentina Presutti
PublisherAssociation for Computing Machinery, Inc
ISBN (Electronic)9781450379748
DOIs
StatePublished - Jun 14 2020
Event2020 International Workshop on on Semantic Big Data, SBD 2020 - In conjunction with the 2020 ACM SIGMOD/PODS Conference - Portland, United States
Duration: Jun 19 2020Jun 19 2020

Publication series

NameProceedings of the International Workshop on on Semantic Big Data, SBD 2020 - In conjunction with the 2020 ACM SIGMOD/PODS Conference

Conference

Conference2020 International Workshop on on Semantic Big Data, SBD 2020 - In conjunction with the 2020 ACM SIGMOD/PODS Conference
CountryUnited States
CityPortland
Period6/19/206/19/20

Keywords

  • data integration
  • linked open data
  • ontology
  • sustainability

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Information Systems
  • Information Systems and Management

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  • Cite this

    Edgar, V., La Place, C., Schmidt, J., Bansal, A., & Bansal, S. (2020). SustainOnt: An ontology for defining an index of neighborhood sustainability across domains. In S. Groppe, L. Gruenwald, & V. Presutti (Eds.), Proceedings of the International Workshop on on Semantic Big Data, SBD 2020 - In conjunction with the 2020 ACM SIGMOD/PODS Conference (Proceedings of the International Workshop on on Semantic Big Data, SBD 2020 - In conjunction with the 2020 ACM SIGMOD/PODS Conference). Association for Computing Machinery, Inc. https://doi.org/10.1145/3391274.3393640