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Semantic Visual Query Answering on Heterogeneous Territorial Data

Authors:
Loris Bozzato
Giulia Bruscagin
Gaetano Calabrese
Luciano Serafini
Cesare Furlanello

Keywords: Cadastral Information System; Semantic Knowledge Integration; Visual Query Formulation.

Abstract:
With the growing availability of administrative data in digital form, one of the current challenges of local municipalities is to manage and integrate information coming from different sources and formats with the aim of recognizing irregularities derived from the combination of such data. In this paper, we present our experience in the context of a local project for the semantic integration of real estate and associated tributes data. The integrated access to these data should support semantic visual analytic, and query formulation and geo-visualization. The data integration is based on an ontology that has been specifically developed to represent the main concepts and relations on this domain. This ontology is populated with the data available in different repositories, such as the cadastre, municipal registry, and household utilities. Ontology has been populated with the available data, which need to be normalized, completed, and in some cases disambiguated. Finally, we developed a system for the visual formulation and execution of queries over the integrated knowledge base.

Pages: 30 to 36

Copyright: Copyright (c) IARIA, 2020

Publication date: March 22, 2020

Published in: conference

ISSN: 2308-4375

ISBN: 978-1-61208-765-8

Location: Valencia, Spain

Dates: from November 21, 2020 to November 25, 2020