An Ontology-Based Decision Support Framework for Personalized Quality of Life Recommendations

Abstract

As urban atmospheric conditions are tightly connected to citizens' quality of life, the concept of efficient environmental decision support systems becomes highly relevant. However, the scale and heterogeneity of the involved data, together with the need for associating environmental information with physical reality, increase the complexity of the problem. In this work, we capitalize on the semantic expressiveness of ontologies to build a framework that uniformly covers all phases of the decision making process: from structuring and integration of data, to inference of new knowledge. We define a simplified ontology schema for representing the status of the environment and its impact on citizens' health and actions. We also implement a novel ontology-and rulebased reasoning mechanism for generating personalized recommendations, capable of treating differently individuals with diverse levels of vulnerability under poor air quality conditions. The overall framework is easily adaptable to new sources and needs.

A framework analysis approach of an indoor air quality sensor

“…For the case study in this paper, the ISO 7730 standard from 2005 was adopted, a standard that defines as pollution the concentration levels that exceed certain critical values. Using a W3C standard ontology language, the authors in Riga et al (2018) developed both an ontology schema for representing the status of the environment and its impact on citizens' health and a rule-based reasoning mechanism for generating personalized recommendations, based on air quality conditions.…”

An Ontology Development for Anomaly Detection in File Integration Domain

“…Riga vd. [24] tarafından sunulan çalışmada ontoloji tabanlı bir karar destek çerçevesi önerilmektedir. Bu kapsamda, karar alma sürecinin tüm aşamalarını eşit biçimde kapsayan bir çerçeve oluşturmak için ontolojilerden yararlanılarak verilerin yapılandırılması ve yeni bilgilerin çıkarılması sağlanmaktadır.…”

hackAIR: Towards Raising Awareness about Air Quality in Europe by Developing a Collective Online Platform

“…More specifically, we implemented a multilayered, ontology-based DS framework that comprises the following components [42] (Figure 2):…”