TY - GEN
T1 - Crowd sourced semantic enrichment for participatory e-government
AU - Di Mauro, Francesco
AU - Pasteris, Paolo
AU - Sapino, Maria Luisa
AU - Candan, Kasim
AU - Dino, Giovanna Antonella
AU - Rossetti, Piergiorgio
N1 - Publisher Copyright:
© 2016 ACM.
PY - 2016/11/1
Y1 - 2016/11/1
N2 - 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.
AB - 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.
KW - Crowdsourced semantic enrichment
KW - Ontologies
KW - Semantic tagging and query expansion
UR - http://www.scopus.com/inward/record.url?scp=85009822899&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85009822899&partnerID=8YFLogxK
U2 - 10.1145/3012071.3012102
DO - 10.1145/3012071.3012102
M3 - Conference contribution
AN - SCOPUS:85009822899
T3 - 8th International Conference on Management of Digital EcoSystems, MEDES 2016
SP - 82
EP - 89
BT - 8th International Conference on Management of Digital EcoSystems, MEDES 2016
PB - Association for Computing Machinery, Inc
T2 - 8th International Conference on Management of Digital EcoSystems, MEDES 2016
Y2 - 1 November 2016 through 4 November 2016
ER -