A semantic web approach to uplift decentralized household energy data

Wu, Jiantao; Orlandi, Fabrizio; AlSkaif, Tarek; O’Sullivan, Declan; Dev, Soumyabrata

doi:10.1016/j.segan.2022.100891

Cited by 5 publications

(3 citation statements)

References 45 publications

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“…Today, the RDF knowledge graph is an increasingly popular integration framework for improving the accessibility of climate data [29]. Compared to conventional RDBMSs, data (including metadata) in a KG can be exchanged with other KGs due to the exclusive usage of the RDF data model [30]. The schema of a KG is often called "Ontology" which represents data in terms of their relationships corresponding to human knowledge.…”

Section: B Kg-based Approachesmentioning

confidence: 99%

LinkedGeoClimate: An Interoperable Platform for Climate Data Access Within Geographical Context

Wu,

Orlandi,

O'Sullivan

et al. 2024

IEEE J. Sel. Top. Appl. Earth Observations Remote Sensing

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Climate data (e.g., air temperature, precipitation) are used in a variety of environmental sectors, such as determining which crops to cultivate for farmlands, and optimizing the placement of products in retail stores. Currently, access to climate data is popularly managed by sophisticated DBMS systems, which are efficient for data processing but have limited data exchangeability across systems. By contrast, many semantic studies focus on the use of RDF knowledge graphs for climate data access, which is semantically interoperable such that data can be easily shared between different RDF knowledge graphs based on predefined domain ontologies. However, climate data is often consumed in a certain geographical context to understand its relationships with other environmental sectors. For example, the geographical context of farmyards is needed to determine which climate stations nearby are used. The interoperability proposed for the geographical context of climate data access is underexplored by relevant semantic studies, resulting in additional resource waste in integrating heterogeneous geospatial information for climate data access. In this article, we propose LinkedGeoClimate which is an interoperable RDF KGs platform for climate data access within an enriched geographical context. LinkedGeoClimate provides the necessary geographical and geospatial information for climate data access and further advances interoperable climate data access when mutual spatial relationships with other environmental sectors are concerned.

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Section: B Kg-based Approachesmentioning

confidence: 99%

LinkedGeoClimate: An Interoperable Platform for Climate Data Access Within Geographical Context

Wu,

Orlandi,

O'Sullivan

et al. 2024

IEEE J. Sel. Top. Appl. Earth Observations Remote Sensing

Self Cite

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“…Cizer et al [15] outline some of the significant challenges, primarily the processing of data mapping (schema mapping) and data fusion. Once data is obtained from various sources, it must be integrated before being presented or processed [16], [17]. There have been improvements in recent years in how data is dynamically fused to create larger ontologies through the use of algorithms.…”

Section: A Multi-source Data Knowledge Graph Developmentmentioning

confidence: 99%

Improving Tourism Analytics From Climate Data Using Knowledge Graphs

Pierse

Orlandi

et al. 2023

IEEE J. Sel. Top. Appl. Earth Observations Remote Sensing

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Climate change has been deemed to be one of the greatest challenges facing humans in the 21st century, with extreme weather events taking place more regularly than before. While the impact of climate change has been well documented in recent years across industries, the impact of climate change on the tourism economy is yet to be fully realised. This paper aims to apply a range of knowledge graph techniques to naturalistic data. Among these, weather data will be explored as one prospective way to enhance people's understanding of how climate and a country's tourism economy are related and how they interact. According to our exploration with the knowledge graph approach in organizing the climate and tourism data, the insights and knowledge gained from the knowledge graph are able to ultimately help improve the quality of life for people and the tourism industry of a country.

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“…For example, the CIM (CIM|DMTF, Available online: https:// www.dmtf.org/standards/cim/cim_schema_v2530 (accessed on 2 May 2022)), see CIM V2.53.0 Schema (MOF, PDF and UML) is an open standard that introduces a common set of objects and relationships between concepts and is widely used in the energy sector. Although CIM provides an extensive set of Unified Modelling Language (UML) class diagrams for building the semantic layer in energy management solutions, additional models are also needed, including [150] Smart Appliances REFerence ontology (SAREF) and the extension of SAREF to fully support demand response use cases in the energy domain (SAREF4EE); The International Data Space (IDS) Information Model; Smart Energy Aware Systems (SEAS).…”

Section: Sgam Information Layermentioning

confidence: 99%

Key Aspects and Challenges in the Implementation of Energy Communities

et al. 2023

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Energy communities (ECs) are an important tool towards a fair energy transition. Hence, the European Union (EU) has positioned ECs at the centre of its energy strategy and the foreseen transformation of its energy system. This paper aims to give an overview of key aspects and challenges for the implementation of the EC concept. Firstly, the regulatory framework is examined with a focus on the new definitions for ECs introduced by the EU, Renewable Energy Communities (RECs) and Citizen Energy Communities (CECs). Secondly, examples of established ECs and their main objectives are mentioned. Additionally, based on the identified challenges and requirements of establishing ECs, the key technologies that are implemented or have the potential to be deployed in an EC are examined, as well as innovative cross-cutting services that are optimally suited to be integrated in an EC. Moreover, the data management challenges linked to some of these technologies are considered. Finally, an overview of actual or potential financing schemes to support the EC development is given. Overall, the analysis highlighted the regulatory, technical and financial aspects and challenges that ECs are facing and the need to address them so that the EC concept is effective and successful. The main challenges identified for each of these aspects are the regulatory compliance with the legal framework, the data management dimension when innovative technological concepts are adopted and the financing of new projects.

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A semantic web approach to uplift decentralized household energy data

Cited by 5 publications

References 45 publications

LinkedGeoClimate: An Interoperable Platform for Climate Data Access Within Geographical Context

LinkedGeoClimate: An Interoperable Platform for Climate Data Access Within Geographical Context

Improving Tourism Analytics From Climate Data Using Knowledge Graphs

Key Aspects and Challenges in the Implementation of Energy Communities

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