Ontology Bulding vs Data Harvesting and Cleaning for Smart-city Services

08/05/2015
by   Pierfrancesco Bellini, et al.
0

Presently, a very large number of public and private data sets are available around the local governments. In most cases, they are not semantically interoperable and a huge human effort is 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 and reasoning. In this paper, a system for data ingestion and reconciliation smart cities related aspects as road graph, services available on the roads, traffic sensors etc., is proposed. The system allows managing a big volume of data coming from a variety of sources considering both static and dynamic data. These data are mapped to smart-city ontology and stored into an RDF-Store where they are available for applications via SPARQL queries to provide new services to the users. The paper presents the process adopted to produce the ontology and the knowledge base and the mechanisms adopted for the verification, reconciliation and validation. Some examples about the possible usage of the coherent knowledge base produced are also offered and are accessible from the RDF-Store.

READ FULL TEXT
POST COMMENT

Comments

There are no comments yet.

Authors

page 1

page 2

page 3

page 4

08/05/2015

Km4City Ontology Building vs Data Harvesting and Cleaning for Smart-city Services

Presently, a very large number of public and private data sets are avail...
04/04/2016

Automatic Knowledge Base Evolution by Learning Instances

Knowledge base is the way to store structured and unstructured data thro...
03/10/2020

Smart City IoT Services Creation through Large Scale Collaboration

Smart cities solutions are often monolithically implemented, from sensor...
10/08/2019

A Distributed Ledger Based Infrastructure for Smart Transportation System and Social Good

This paper presents a system architecture to promote the development of ...
03/09/2021

Ontology-based industrial data management platform

Relational and noSQL storages are developed for the fast processing of t...
01/25/2021

A Simple Disaster-Related Knowledge Base for Intelligent Agents

In this paper, we describe our efforts in establishing a simple knowledg...
11/15/2019

Data Preparation in Agriculture Through Automated Semantic Annotation – Basis for a Wide Range of Smart Services

Modern agricultural technology and the increasing digitalisation of such...
This week in AI

Get the week's most popular data science and artificial intelligence research sent straight to your inbox every Saturday.