Abstract

When making decisions impacting public utility and encouraging and/or enforcing behavioral rules, public administrators need to rely on data and knowledge supporting their choices, which can be used to better inform those citizens who will be affected by such decisions. Many open data repositories exist and can be accessed and used by both decision makers and citizens. Similarly, semantic tagging is now commonly used as a way to allow users provide their own knowledge to be associated to data. In this paper, we present a novel participatory system which allows traditional databases and semantic tagging modules coexist in the same knowledge base, and provides the users with query enrichment functionalities to enable ontology-based query expansion. We describe CroSSE, our CrowdSourced Semantic Enrichment query system architecture, define the enrichment specification language, and discuss a use case in which the proposed technology is being applied in a participatory e-government setting. The use case is in the context of our SmartGround EU funded project, in which a relational database platform is designed to collect data of interest concerning secondary raw materials from mines as well as municipality waste. CroSSE semantic enrichment architecture interacts with this platform to expand queries and results on the basis of users' domain knowledge.

Original languageEnglish (US)
Title of host publication8th International Conference on Management of Digital EcoSystems, MEDES 2016
PublisherAssociation for Computing Machinery, Inc
Pages82-89
Number of pages8
ISBN (Electronic)9781450342674
DOIs
StatePublished - Nov 1 2016
Event8th International Conference on Management of Digital EcoSystems, MEDES 2016 - Biarritz, France
Duration: Nov 1 2016Nov 4 2016

Other

Other8th International Conference on Management of Digital EcoSystems, MEDES 2016
CountryFrance
CityBiarritz
Period11/1/1611/4/16

Fingerprint

Semantics
Public utilities
Specification languages
Ontology
Raw materials
Decision making

Keywords

  • Crowdsourced semantic enrichment
  • Ontologies
  • Semantic tagging and query expansion

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Environmental Engineering
  • Computer Graphics and Computer-Aided Design

Cite this

Di Mauro, F., Pasteris, P., Sapino, M. L., Candan, K., Dino, G. A., & Rossetti, P. (2016). Crowd sourced semantic enrichment for participatory e-government. In 8th International Conference on Management of Digital EcoSystems, MEDES 2016 (pp. 82-89). Association for Computing Machinery, Inc. https://doi.org/10.1145/3012071.3012102

Crowd sourced semantic enrichment for participatory e-government. / Di Mauro, Francesco; Pasteris, Paolo; Sapino, Maria Luisa; Candan, Kasim; Dino, Giovanna Antonella; Rossetti, Piergiorgio.

8th International Conference on Management of Digital EcoSystems, MEDES 2016. Association for Computing Machinery, Inc, 2016. p. 82-89.

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

Di Mauro, F, Pasteris, P, Sapino, ML, Candan, K, Dino, GA & Rossetti, P 2016, Crowd sourced semantic enrichment for participatory e-government. in 8th International Conference on Management of Digital EcoSystems, MEDES 2016. Association for Computing Machinery, Inc, pp. 82-89, 8th International Conference on Management of Digital EcoSystems, MEDES 2016, Biarritz, France, 11/1/16. https://doi.org/10.1145/3012071.3012102
Di Mauro F, Pasteris P, Sapino ML, Candan K, Dino GA, Rossetti P. Crowd sourced semantic enrichment for participatory e-government. In 8th International Conference on Management of Digital EcoSystems, MEDES 2016. Association for Computing Machinery, Inc. 2016. p. 82-89 https://doi.org/10.1145/3012071.3012102
Di Mauro, Francesco ; Pasteris, Paolo ; Sapino, Maria Luisa ; Candan, Kasim ; Dino, Giovanna Antonella ; Rossetti, Piergiorgio. / Crowd sourced semantic enrichment for participatory e-government. 8th International Conference on Management of Digital EcoSystems, MEDES 2016. Association for Computing Machinery, Inc, 2016. pp. 82-89
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