Towards an Environmental Decision-Making System: A Vocabulary to Enrich Stream Data

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

“…For the evaluation of the proposed representation and reasoning framework, we focus on the following aspects: (i) the consistency of the provided results, by examining if the inferred recommendations comply with those targeted to be given through the classification and reasoning process; (ii) its performance, in terms of elapsed time when a request is submitted to the system. Unfortunately, a direct comparison of response times between the proposed framework and alternative approaches ( [5,15]) is not feasible, since there are no benchmarks to follow; systems have different complexity, demonstrate different functionalities, input or internal processes, target different recommendation outcomes, and the implementation details that are missing block the reproduction of identical experiments within our proposed context. For the consistency checking task, the environmental experts and pilot users of the hackAIR project performed a thorough analysis of the reasoning process by examining the recommendation inferences for each ontology-represented use case.…”

“…Ontologies have been proposed in EDSS for different tasks: in [12] for semantic search and easy access of structured environmental data; in [13] for integrating existing local databases of environmental data as part of the Linked Open Data cloud, enabling the linking of data in an established context and the dissemination of environmental information to the masses; in [14] for facilitating the process of selecting domestic solar hot water systems according to specific criteria, and in [15] for integrating heterogeneous content from multiple environmental sources. Despite the increasing deployment of ontology-based solutions in DSS, their potential is merely exploited, either for creating a structured representation of the domain of interest, or for supporting parts of the decision making process.…”

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

“…Ontologies have been extensively adopted in separate parts of the decision-making process [39][40][41], mostly for the formal representation of the domain of interest. On the contrary, our developed framework demonstrates the extensive use of ontologies and of relevant reasoning technologies for handling both the static (representation) and dynamic (realization, inference) processes of a DS system.…”

Semantics in the Edge: Sensors and actuators in the Web of Linked Data and Things

“…There already exists a significant amount of research focusing on applying the RDF data model and OWL ontologies in different WoT scenarios, from home automation to Industry 4.0, by showing how this approach can be applied to ease integration of diverse data sources [38,55]. Ontologies and vocabularies such as the Semantic Sensor Network Ontology (SSN) [27] have been adopted in a number of research projects [7,63,69]. Although the ontology-based approach in WoT has received significant interest and adoption in research projects, it still lacks similar levels of adoption to schema.org on the Web or adoption in industry, more generally [37].…”