eGovernment Ontologies: Social Participation in Building and Evolution

Barbagallo, Alessia; Nicola, Antonio De; Missikoff, Michele

doi:10.1109/hicss.2010.174

Cited by 10 publications

(6 citation statements)

References 8 publications

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“…Finally, our work is related to the Social Ontology Building and Evolution (SOBE) methodology , which in turn constitutes a collaborative extension of Unified Process for ONtology building (UPON) , an ontology building process, based on UML and OWL. In our approach, we follow the use‐case driven, iterative, and incremental nature of UPON, derived from the large experience drawn in the software engineering area, and we augment it with collaborative facilities, providing clearly defined milestones and indication of the needed steps along the line of SOBE.…”

Section: Related Workmentioning

confidence: 99%

Ontology building and maintenance in collaborative virtual environments

Missikoff

Smith

Taglino

2015

Concurrency and Computation

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Summary The role of ontologies in the enterprise world is constantly increasing, and they are proving even more necessary in distributed production realities, like in extended logistics, industrial districts, or virtual enterprises. In such realities, a common conceptual basis is necessary to compensate the fragmentation inherent in the underlying industrial models. This paper presents an end‐to‐end framework based on an open, collaborative approach for developing and maintaining business domain ontologies. The framework has been achieved within the European Project BIVEE and has been experimented in two industrial realities: the high‐tech sector of robotics and the more traditional one of furniture. Copyright © 2015 John Wiley & Sons, Ltd.

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Section: Related Workmentioning

confidence: 99%

Ontology building and maintenance in collaborative virtual environments

Missikoff

Smith

Taglino

2015

Concurrency and Computation

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“…For instance, the social participation of industrial enterprises, citizens living near plants and ecological organizations can help in identifying targets and constraints and in proposing measures. Involvement of non-experts in the ontology engineering process is a relevant challenge currently addressed by the research community [Tempich et al, 2007] [ Barbagallo et al, 2010]. Technical difficulties, low participation and lack of coordination in this process are some of the issues that need to be faced.…”

Section: Ets Knowledge Base Engineeringmentioning

confidence: 99%

“…Technical difficulties, low participation and lack of coordination in this process are some of the issues that need to be faced. For instance, the paper [Barbagallo et al, 2010] proposes a social approach that uses a voting procedure and natural language processing applications. As stated in [Laniak et al, 2013], the availability of general guidelines, best practices or standards to define and harmonize semantic information is still an open issue.…”

Section: Ets Knowledge Base Engineeringmentioning

confidence: 99%

“…This approach, sketchily represented in Fig. 1, leverages on the works by [De Nicola et al, 2009] and [Barbagallo et al, 2010]. According to [Barbagallo et al, 2010], we may identify two roles in the community of people extending the ontology, i.e., the ontology owner and the ontology participant.…”

Section: Ets Knowledge Base Engineeringmentioning

confidence: 99%

“…1, leverages on the works by [De Nicola et al, 2009] and [Barbagallo et al, 2010]. According to [Barbagallo et al, 2010], we may identify two roles in the community of people extending the ontology, i.e., the ontology owner and the ontology participant. The former is responsible for the advancement of the ontology project and for the overall ontology quality.…”

Section: Ets Knowledge Base Engineeringmentioning

confidence: 99%

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Semantics-based services for a low carbon society: An application on emissions trading system data and scenarios management

Camporeale

Nicola

Villani

2015

Environmental Modelling & Software

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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 3710 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...

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Methodologies, Tools and Languages for Ontology Design

Casellas

2011

Law, Governance and Technology Series

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eGovernment Ontologies: Social Participation in Building and Evolution

Cited by 10 publications

References 8 publications

Ontology building and maintenance in collaborative virtual environments

Ontology building and maintenance in collaborative virtual environments

Semantics-based services for a low carbon society: An application on emissions trading system data and scenarios management

Methodologies, Tools and Languages for Ontology Design

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