| Title | Km4City ontology building vs data harvesting and cleaning for smart-city services |
|---|---|
| ID_Doc | 35829 |
| Authors | Bellini, P; Benigni, M; Billero, R; Nesi, P; Rauch, N |
| Title | Km4City ontology building vs data harvesting and cleaning for smart-city services |
| Year | 2014 |
| Published | Journal Of Visual Languages And Computing, 25, 6 |
| Abstract | Presently, a very large number of public and private data sets are available from local governments. In most cases, they are not semantically interoperable and a huge human effort would be needed to create integrated ontologies and knowledge base for smart city. Smart City ontology is not yet standardized, and a lot of research work is needed to identify models that can easily support the data reconciliation, the management of the complexity, to allow the data reasoning. In this paper, a system for data ingestion and reconciliation of smart cities related aspects as road graph, services available on the roads, traffic sensors etc., is proposed. The system allows managing a big data volume of data coming from a variety of sources considering both static and dynamic data. These data are mapped to a smart-city ontology, called KM4City (Knowledge Model for City), and stored into an RDF-Store where they are available for applications via SPARQL queries to provide new services to the users via specific applications of public administration and enterprises. The paper presents the process adopted to produce the ontology and the big data architecture for the knowledge base feeding on the basis of open and private data, and the mechanisms adopted for the data verification, reconciliation and validation. Some examples about the possible usage of the coherent big data knowledge base produced are also offered and are accessible from the RDF-store and related services. The article also presented the work performed about reconciliation algorithms and their comparative assessment and selection. (C) 2014 The Authors. Published by Elsevier Ltd. |
| https://doi.org/10.1016/j.jvlc.2014.10.023 |
Similar Articles
| ID | Score | Article |
|---|---|---|
45393
|
Bellini, P; Nesi, P; Rauch, N Knowledge Base Contruction Process for Smart-city Services(2014) | |
| 38982
|
Consoli, S; Mongiovì, M; Nuzzolese, AG; Peroni, S; Presutti, V; Recupero, DR; Spampinato, D A Smart City Data Model based on Semantics Best Practice and Principles(2015) | |
| 45678
|
Gupta, S; Padhy, A; Adhikari, A; Dutta, A A Semantic Web and Linked Data based Framework for Smart City Data Management(2016) | |
| 45328
|
Nesi, P; Po, L; Viqueira, JRR; Trillo-Lado, R An Integrated Smart City Platform(2018) | |
| 45158
|
Bellini, P; Nesi, P Performance assessment of RDF graph databases for smart city services(2018) | |
| 37542
|
Bianchini, D; De Antonellis, V; Garda, M; Melchiori, M Smart City Data Modelling using Semantic Web Technologies(2021) | |
| 36526
|
De Nicola, A; Villani, ML Smart City Ontologies and Their Applications: A Systematic Literature Review(2021)Sustainability, 13, 10 | |
| 44864
|
Badii, C; Bellini, P; Cenni, D; Martelli, G; Nesi, P; Paolucci, M Km4City Smart City API: an integrated support for mobility services(2016) | |
| 44831
|
Qamar, T; Bawany, NZ; Javed, S; Amber, S Smart City Services Ontology (SCSO): Semantic Modeling of Smart City Applications(2019) | |
| 38025
|
An, J; Kumar, S; Lee, J; Jeong, S; Song, J Synapse : Towards Linked Data for Smart Cities using a Semantic Annotation Framework(2020) |