Abstract:ICT for a low carbon society is a new research topic, also supported by the current research programs of the European Commission. The main characteristic of this area is the presence of multi-disciplinary problems spanning from the energy and environment fields to macroeconomics and societal life. Energy plays a key role here as the energy market is tightly coupled with environmental policies. A common grounding for the application of the various analysis methods and tools has to be settled to solve these prob… Show more
“…However, currently, there are several methodologies (as [De Nicola et al, 2009], [Fernández-López et al, 1997], and [Sure et al, 2004]) and Natural Language Processing tools (as AlchemyAPI [WR15] and Open Calais [WR16]) supporting modellers in the ontology engineering process. EREON has been developed through a top-down approach according to the ontology engineering methodologies based on upper-level concepts, such as the ETS ontological foundations [Ciorba et al, 2013]. However, also a bottom-up approach has been used by taking into account existing resources, such as the NIMs [WR3], [De Nicola et al, 2009].…”
Section: Ets Knowledge Base Engineeringmentioning
confidence: 99%
“…This work originated from a scientific collaboration running between ENEA, the Italian National Agency for New Technologies, Energy and Sustainable Economic Development, and the Italian Ministry of Economic Development [WR2]. Preliminary results were presented at two workshops ([Ciorba et al, 2013], [Camporeale et al, 2013]). In particular, the first paper describes the upper level ontology designed as a foundation for ETS-related ontologies.…”
A low carbon society aims at fighting global warming by stimulating synergic efforts from governments, industry and scientific communities. Decision support systems should be adopted to provide policy makers with possible scenarios, options for prompt countermeasures in case of side effects on environment, economy and society due to low carbon society policies, and also options for information management. A necessary precondition to fulfill this agenda is to face the complexity of this multi-disciplinary domain and to reach a common understanding on it as a formal specification. Ontologies are widely accepted means to share knowledge. Together with semantic rules, they enable advanced semantic services to manage knowledge in a smarter way. Here we address the European Emissions Trading System (EU-ETS) and we present a knowledge base consisting of the EREON ontology and a catalogue of rules. Then we describe two innovative semantic services to manage ETS data and information on ETS scenarios. Accepted Author Manuscript 2 and different countries. Managing such complexity requires tackling several issues. Among them, we cite those covered in this work:1. need for an integrated environmental modeling (IEM) approach. LCS concerns multi-disciplinary and inter-dependent knowledge. IEM is considered as one of the most promising approaches to define break-through solutions leveraging on such knowledge [Laniak et al., 2013] [Argent, 2004. 2. sharing common understanding. A complete scenario (made by the mix-up of energetic, industrial, technological, political and environmental aspects) should be framed into a shareable "scientific" formulation. The importance of involving a multidisciplinary community of people [Laniak et al., 2013] [Krueger et al., 2012 is a precondition to reach such understanding. 3. structural and behavioural knowledge modelling. The LCS domain concerns both the structural aspects of entities (e.g., the energy price) and others related to how entities behave or should behave (e.g., the allocated CO2 emissions of the ACME company are 3710 4 tCO2). A modelling approach covering both aspects is required. 4. managing large governmental datasets. LCS data are needed for LCS analysis and definition of scenarios. Although their availability from governments might be an issue [Zicari, 2013] due to the lack of competitive pressure for making data open, one problem is to assess their quality and veracity since such data are usually manually collected by error-prone processes. Further relevant problems related to data management concern data integration and data privacy. 5. need to develop multi-domain scenarios. In order to use "federated" scenarios, all the problem's components should be made interoperable and fed into a common scheme. The present work proposes a semantics-based approach to address these issues. Indeed, semantic technologies based on ontologies help to better organize data [Poggi et al., 2008] [Reichman et al., 2011] and enable development of intelligent services for data management (e.g., to...
“…However, currently, there are several methodologies (as [De Nicola et al, 2009], [Fernández-López et al, 1997], and [Sure et al, 2004]) and Natural Language Processing tools (as AlchemyAPI [WR15] and Open Calais [WR16]) supporting modellers in the ontology engineering process. EREON has been developed through a top-down approach according to the ontology engineering methodologies based on upper-level concepts, such as the ETS ontological foundations [Ciorba et al, 2013]. However, also a bottom-up approach has been used by taking into account existing resources, such as the NIMs [WR3], [De Nicola et al, 2009].…”
Section: Ets Knowledge Base Engineeringmentioning
confidence: 99%
“…This work originated from a scientific collaboration running between ENEA, the Italian National Agency for New Technologies, Energy and Sustainable Economic Development, and the Italian Ministry of Economic Development [WR2]. Preliminary results were presented at two workshops ([Ciorba et al, 2013], [Camporeale et al, 2013]). In particular, the first paper describes the upper level ontology designed as a foundation for ETS-related ontologies.…”
A low carbon society aims at fighting global warming by stimulating synergic efforts from governments, industry and scientific communities. Decision support systems should be adopted to provide policy makers with possible scenarios, options for prompt countermeasures in case of side effects on environment, economy and society due to low carbon society policies, and also options for information management. A necessary precondition to fulfill this agenda is to face the complexity of this multi-disciplinary domain and to reach a common understanding on it as a formal specification. Ontologies are widely accepted means to share knowledge. Together with semantic rules, they enable advanced semantic services to manage knowledge in a smarter way. Here we address the European Emissions Trading System (EU-ETS) and we present a knowledge base consisting of the EREON ontology and a catalogue of rules. Then we describe two innovative semantic services to manage ETS data and information on ETS scenarios. Accepted Author Manuscript 2 and different countries. Managing such complexity requires tackling several issues. Among them, we cite those covered in this work:1. need for an integrated environmental modeling (IEM) approach. LCS concerns multi-disciplinary and inter-dependent knowledge. IEM is considered as one of the most promising approaches to define break-through solutions leveraging on such knowledge [Laniak et al., 2013] [Argent, 2004. 2. sharing common understanding. A complete scenario (made by the mix-up of energetic, industrial, technological, political and environmental aspects) should be framed into a shareable "scientific" formulation. The importance of involving a multidisciplinary community of people [Laniak et al., 2013] [Krueger et al., 2012 is a precondition to reach such understanding. 3. structural and behavioural knowledge modelling. The LCS domain concerns both the structural aspects of entities (e.g., the energy price) and others related to how entities behave or should behave (e.g., the allocated CO2 emissions of the ACME company are 3710 4 tCO2). A modelling approach covering both aspects is required. 4. managing large governmental datasets. LCS data are needed for LCS analysis and definition of scenarios. Although their availability from governments might be an issue [Zicari, 2013] due to the lack of competitive pressure for making data open, one problem is to assess their quality and veracity since such data are usually manually collected by error-prone processes. Further relevant problems related to data management concern data integration and data privacy. 5. need to develop multi-domain scenarios. In order to use "federated" scenarios, all the problem's components should be made interoperable and fed into a common scheme. The present work proposes a semantics-based approach to address these issues. Indeed, semantic technologies based on ontologies help to better organize data [Poggi et al., 2008] [Reichman et al., 2011] and enable development of intelligent services for data management (e.g., to...
“…It should be noted that these views are not disjoint and, consequently, overlapping exists, consisting in a set of merging concepts (e.g., stakeholder, impact) and connecting together the different scopes of the ontology. A brief description of the three categories follows, as a more extensive presentation has been given in [4].…”
Section: A Ereon Upper Ontologymentioning
confidence: 99%
“…In [4] we presented our first results consisting in an upper level ontology designed as a foundation for ETS-related ontologies. Here we present: an European ontology named EREON (Ets-Related European ONtology), that currently focuses on the ETS context representation and related semantic rules; and a service-based architecture built on top of it, with the specification of two useful services, the former for data acquisition and the latter for data analysis.…”
Fight against global warming is a tough challenge requiring synergic efforts from governments, industry and scientific communities. Facing these challenges by means of sectorial or local approaches is a loosing strategy. A holistic approach is required to provide more flexibility and prompt responses to unpredicted side effects on environment, economy and society due to low carbon society policies. Furthermore coping with such complexity requires the adoption of decision support systems providing policy makers with possible scenarios and countermeasures. Precondition to them is to reach a common understanding on such domains as a formal specification. Ontologies are considered widely accepted means to share knowledge. They enable advanced semantic services to manage knowledge in a more effective and smart way. In this paper we address the European Emissions Trading System and we present the EREON ontology to represent knowledge on such domain. In particular we focus on contextual knowledge modeled as concepts and rules. Finally, we present the data acquisition and the data analysis services as applications of such ontology.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.