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Despite the intense research activity in the last two decades, ontology integration still presents a number of challenging issues. As ontologies are continuously growing in number, complexity and size and are adopted within open distributed systems such as the Semantic Web, integration becomes a central problem and has to be addressed in a context of increasing scale and heterogeneity. In this paper, we describe a holistic alignment-based method for customized ontology integration. The holistic approach proposes additional challenges as multiple ontologies are jointly integrated at once, in contrast to most common approaches that perform an incremental pairwise ontology integration. By applying consolidated techniques for ontology matching, we investigate the impact on the resulting ontology. The proposed method takes multiple ontologies as well as pairwise alignments and returns a refactored/non-refactored integrated ontology that faithfully preserves the original knowledge of the input ontologies and alignments. We have tested the method on large biomedical ontologies from the LargeBio OAEI track. Results show effectiveness, and overall, a decreased integration cost over multiple ontologies.
Inès Osman; Salvatore Flavio Pileggi; Sadok Ben Yahia; Gayo Diallo. An Alignment-Based Implementation of a Holistic Ontology Integration Method. MethodsX 2021, 8, 101460 .
AMA StyleInès Osman, Salvatore Flavio Pileggi, Sadok Ben Yahia, Gayo Diallo. An Alignment-Based Implementation of a Holistic Ontology Integration Method. MethodsX. 2021; 8 ():101460.
Chicago/Turabian StyleInès Osman; Salvatore Flavio Pileggi; Sadok Ben Yahia; Gayo Diallo. 2021. "An Alignment-Based Implementation of a Holistic Ontology Integration Method." MethodsX 8, no. : 101460.
Adaptive MCDA systematically supports the dynamic combination of heterogeneous indicators to assess overall performance. The method is completely generic and is currently adopted to undertake a number of studies in the area of sustainability. The intrinsic heterogeneity characterizing this kind of analysis leads to a number of biases, which need to be properly considered and understood to correctly interpret computational results in context. While on one side the method provides a comprehensive data-driven analysis framework, on the other side it introduces a number of uncertainties that are object of discussion in this paper. Uncertainty is approached holistically, meaning we address all uncertainty aspects introduced by the computational method to deal with the different biases. As extensively discussed in the paper, by identifying the uncertainty associated with the different phases of the process and by providing metrics to measure it, the interpretation of results can be considered more consistent, transparent and, therefore, reliable.
Salvatore F. Pileggi. Combining Heterogeneous Indicators by Adopting Adaptive MCDA: Dealing with Uncertainty. Transactions on Petri Nets and Other Models of Concurrency XV 2021, 514 -525.
AMA StyleSalvatore F. Pileggi. Combining Heterogeneous Indicators by Adopting Adaptive MCDA: Dealing with Uncertainty. Transactions on Petri Nets and Other Models of Concurrency XV. 2021; ():514-525.
Chicago/Turabian StyleSalvatore F. Pileggi. 2021. "Combining Heterogeneous Indicators by Adopting Adaptive MCDA: Dealing with Uncertainty." Transactions on Petri Nets and Other Models of Concurrency XV , no. : 514-525.
Design Thinking is a human-centered approach extensively used across different domains that aims at problem solving, value creation for stakeholders and innovation by fostering creativity. The most characterising and critical step along the Design Thinking process is the empathy phase, in which stakeholder analysis is performed by looking at a given scenario from the perspective of different stakeholders. Such a methodology enables a systematic information gathering and organization that results in a deep understanding of actual problems, needs and expectations from the target stakeholders. The uniqueness of problems and the need for situation-specific data makes knowledge re-use not always practical, even within the most consolidated and experienced environments. In this paper we propose an ontological support to empathy mapping that aims to (i) establish an interoperable fine-grained data layer among the different data collected throughout the empathy mapping process, (ii) enable multi-scenario analysis underpinned by formal specifications and (iii) further empower the process through semantic enrichment and integration of insight from multiple sources and contexts. We believe this is the first step to design and properly integrate effective computational and AI-based functionalities along the creative design thinking process, as well as to enable in practice richer and more sophisticated approaches (e.g. through social networks).
Salvatore F. Pileggi. Knowledge interoperability and re-use in Empathy Mapping: an ontological approach. Expert Systems with Applications 2021, 180, 115065 .
AMA StyleSalvatore F. Pileggi. Knowledge interoperability and re-use in Empathy Mapping: an ontological approach. Expert Systems with Applications. 2021; 180 ():115065.
Chicago/Turabian StyleSalvatore F. Pileggi. 2021. "Knowledge interoperability and re-use in Empathy Mapping: an ontological approach." Expert Systems with Applications 180, no. : 115065.
In participatory modeling (PM), a conceptual model emerges from an exchange of information and opinions among stakeholders. This usually happens in a series of in-person workshops restricted to a certain number of attendees during designated time intervals. Our goal is to open up the PM workshop process to engage an unlimited number of participants at various locations, while supporting them with the functionality that the modeling context can offer. We develop a real-time, moderated steering environment, named Discussoo, to facilitate online PM. Users express their opinions about a topic by providing their comments in online discussions. As the discussion evolves, an ensemble of artificial intelligence algorithms in the background automatically produces a dynamic conceptual model to visualize the on-going exchange of opinions. Moderators can use this model to provide feedback to users and guide the discussion. Policymakers and managers can use Discussoo to support more transparent and meaningful engagement of stakeholders.
Madiha Anjum; Alexey Voinov; Firouzeh Taghikhah; Salvatore F. Pileggi. Discussoo: Towards an intelligent tool for multi-scale participatory modeling. Environmental Modelling & Software 2021, 140, 105044 .
AMA StyleMadiha Anjum, Alexey Voinov, Firouzeh Taghikhah, Salvatore F. Pileggi. Discussoo: Towards an intelligent tool for multi-scale participatory modeling. Environmental Modelling & Software. 2021; 140 ():105044.
Chicago/Turabian StyleMadiha Anjum; Alexey Voinov; Firouzeh Taghikhah; Salvatore F. Pileggi. 2021. "Discussoo: Towards an intelligent tool for multi-scale participatory modeling." Environmental Modelling & Software 140, no. : 105044.
The COVID-19 pandemic has suddenly and deeply changed our lives in a way comparable with the most traumatic events in history, such as a World war. With millions of people infected around the World and already thousands of deaths, there is still a great uncertainty on the actual evolution of the crisis, as well as on the possible post-crisis scenarios, which depend on a number of key variables and factors (e.g. a treatment, a vaccine or some kind of immunity). Despite the optimism enforced by the positive results recently achieved to produce a vaccine, uncertainty is probably still somehow the predominant feeling. From a more philosophical perspective, the COVID-19 drama is also a kind of stress-test for our global system and, probably, an opportunity to reconsider some aspects underpinning it, as well as its sustainability. In this article we focus on the pre-crisis situation by combining a number of selected global indicators that are likely to represent measures of different aspects of life. How was the World actually performing? We have defined 6 macro-categories and inferred their relevance from different sources. Results show that economic-oriented priorities correspond to positive performances, while all other distributions point to a negative performance. Additionally, balanced and economy-focused distributions of weights propose an optimistic interpretation of performance regardless of the absolute score.
Salvatore F. Pileggi. Life before COVID-19: how was the World actually performing? Quality & Quantity 2021, 1 -18.
AMA StyleSalvatore F. Pileggi. Life before COVID-19: how was the World actually performing? Quality & Quantity. 2021; ():1-18.
Chicago/Turabian StyleSalvatore F. Pileggi. 2021. "Life before COVID-19: how was the World actually performing?" Quality & Quantity , no. : 1-18.
This paper discusses the uncertainty in the automation of knowledge building from heterogeneous raw datasets. Ontologies play a critical role in such a process by providing a well consolidated support to link and semantically integrate datasets via interoperability, as well as semantic enrichment and annotations. By adopting Semantic Web technology, the resulting ecosystem is fully machine consumable. However, while the manual alignment of concepts from different vocabularies is reasonable at a small scale, fully automatic mechanisms are required once the target system scales up, leading to a significant uncertainty.
Salvatore Flavio Pileggi; Hayden Crain; Sadok Ben Yahia. An Ontological Approach to Knowledge Building by Data Integration. Transactions on Petri Nets and Other Models of Concurrency XV 2020, 479 -493.
AMA StyleSalvatore Flavio Pileggi, Hayden Crain, Sadok Ben Yahia. An Ontological Approach to Knowledge Building by Data Integration. Transactions on Petri Nets and Other Models of Concurrency XV. 2020; ():479-493.
Chicago/Turabian StyleSalvatore Flavio Pileggi; Hayden Crain; Sadok Ben Yahia. 2020. "An Ontological Approach to Knowledge Building by Data Integration." Transactions on Petri Nets and Other Models of Concurrency XV , no. : 479-493.
For today’s global value chains, seaports and their operations are indispensable components. In many cases, the cargo handling takes place in close proximity to residential and/or environmentally sensitive areas. Furthermore, seaports are often not operated by a single organization, but need to be considered as communities of sometimes hundreds of internal and external stakeholders. Due to their close cooperation in the cargo handling process, risk management should be a common approach among the internal stakeholders as well in order to effectively mitigate and respond to emerging risks. However, empirical research has revealed that risk management is often limited to the organization itself, which indicates a clear lack of cooperation. Primary reasons in this regard are missing knowledge about the relations and responsibilities within the port and differing terminologies. Therefore, we propose an ontology (CoRiMaS) that implements a developed reference model for risk management that explicitly aims at seaports with a cooperative approach to risk management. CoRiMaS has been designed looking at the Semantic Web and at the Linked Data model to provide a common interoperable vocabulary in the target domain. The key concepts of our ontology comprise the hazard, stakeholder, seaport, cooperation aspect, and risk management process. We validated our ontology by applying it in a case study format to the Port of Hamburg (Germany). The CoRiMaS ontology can be widely applied to foster cooperation within and among seaports. We believe that such an ontological approach has the potential to improve current risk management practices and, thereby, to increase the resilience of operations, as well as the protection of sensitive surrounding areas.
Salvatore Pileggi; Marius Indorf; Ayman Nagi; Wolfgang Kersten. CoRiMaS—An Ontological Approach to Cooperative Risk Management in Seaports. Sustainability 2020, 12, 4767 .
AMA StyleSalvatore Pileggi, Marius Indorf, Ayman Nagi, Wolfgang Kersten. CoRiMaS—An Ontological Approach to Cooperative Risk Management in Seaports. Sustainability. 2020; 12 (11):4767.
Chicago/Turabian StyleSalvatore Pileggi; Marius Indorf; Ayman Nagi; Wolfgang Kersten. 2020. "CoRiMaS—An Ontological Approach to Cooperative Risk Management in Seaports." Sustainability 12, no. 11: 4767.
In this paper we present an ontological approach to build a knowledge-base on climate change related facts. Our knowledge space, developed in Ontology Web Language (OWL), enables knowledge within the Semantic Web. It allows a dynamic classification and a semantic characterization of the different events that can be related to each other, as well as to external sources of information. The resulting ontology is structured as a timeline which aims to describe the climate change story from multiple perspectives, including scientific, social, political and technological ones. We have created an instance of the ontology as an attempt to tell the climate change story so far. Such a population is based on the collection of factual information and critical literature review, with a focus on relevant theories, happenings, social and political initiatives.
Salvatore Flavio Pileggi; Sawda Alvi Lamia. Climate Change TimeLine: An Ontology to Tell the Story so Far. IEEE Access 2020, 8, 65294 -65312.
AMA StyleSalvatore Flavio Pileggi, Sawda Alvi Lamia. Climate Change TimeLine: An Ontology to Tell the Story so Far. IEEE Access. 2020; 8 (99):65294-65312.
Chicago/Turabian StyleSalvatore Flavio Pileggi; Sawda Alvi Lamia. 2020. "Climate Change TimeLine: An Ontology to Tell the Story so Far." IEEE Access 8, no. 99: 65294-65312.
Is the World becoming a better or a worse place to live? In this paper, we propose a tool that can help to answer the question by combining a number of global indicators belonging to multiple categories. The proliferation of statistical data about various aspects of the World performance may suggest that it should be “easy” to evaluate the overall success of human enterprise on this planet. Moreover, it also points out the intrinsic importance in the selection of indicators. However, people have different values, biases, and preferences about the importance of various indicators, making it almost impossible to find an objective answer to this question. To address the variety and the heterogeneity of available indicators and world views, we present the analysis of global World performance as a multi-criteria decision problem, making sure that the assessment method remains as transparent as possible. By dynamically selecting a set of indicators of interest, defining the weights that we attach to various indicators and specifying the desired trends associated with each indicator, we make the assessment adaptive to individual values. We also try to deal with the inherent bias that may exist in the set of indicators that are chosen. As a study case, from various data sets that are openly available online, we have selected several that are most relevant and easy to interpret in the context of the question in the title of the paper. We demonstrate how the choice of personal preferences, or weights, can strongly change the result. Our method also provides analysis of the weights space, showing how results for particular value sets compare to the average and extreme (optimistic and pessimistic) combinations of weights that may be chosen by users.
Salvatore F. Pileggi. Is the World Becoming a Better or a Worse Place? A Data-Driven Analysis. Sustainability 2019, 12, 88 .
AMA StyleSalvatore F. Pileggi. Is the World Becoming a Better or a Worse Place? A Data-Driven Analysis. Sustainability. 2019; 12 (1):88.
Chicago/Turabian StyleSalvatore F. Pileggi. 2019. "Is the World Becoming a Better or a Worse Place? A Data-Driven Analysis." Sustainability 12, no. 1: 88.
Salvatore Flavio Pileggi; Alexey Voinov. PERSWADE-CORE: A Core Ontology for Communicating Socio-Environmental and Sustainability Science. IEEE Access 2019, 7, 127177 -127188.
AMA StyleSalvatore Flavio Pileggi, Alexey Voinov. PERSWADE-CORE: A Core Ontology for Communicating Socio-Environmental and Sustainability Science. IEEE Access. 2019; 7 ():127177-127188.
Chicago/Turabian StyleSalvatore Flavio Pileggi; Alexey Voinov. 2019. "PERSWADE-CORE: A Core Ontology for Communicating Socio-Environmental and Sustainability Science." IEEE Access 7, no. : 127177-127188.
Salvatore F. Pileggi. Web of Similarity. Journal of Computational Science 2019, 36, 100578 .
AMA StyleSalvatore F. Pileggi. Web of Similarity. Journal of Computational Science. 2019; 36 ():100578.
Chicago/Turabian StyleSalvatore F. Pileggi. 2019. "Web of Similarity." Journal of Computational Science 36, no. : 100578.
As the result of the intense research activity of the past decade, Semantic Web technology has achieved a notable popularity and maturity. This technology is leading the evolution of the Web via interoperability by providing structured metadata. Because of the adoption of rich data models on a large scale to support the representation of complex relationships among concepts and automatic reasoning, the computational performance of ontology-based systems can significantly vary. In the evaluation of such a performance, a number of critical factors should be considered. Within this paper, we provide an empirical framework that yields an extensive analysis of the computational performance of ontology-based systems. The analysis can be seen as a decision tool in managing the constraints of representational requirements versus reasoning performance. Our approach adopts synthetic ontologies characterised by an increasing level of complexity up to OWL 2 DL. The benefits and the limitations of this approach are discussed in the paper.
Salvatore F. Pileggi; Fabian C. Peña; Maria Del Pilar Villamil; Ghassan Beydoun. Analysing the Trade-Off Between Computational Performance and Representation Richness in Ontology-Based Systems. Transactions on Petri Nets and Other Models of Concurrency XV 2019, 237 -250.
AMA StyleSalvatore F. Pileggi, Fabian C. Peña, Maria Del Pilar Villamil, Ghassan Beydoun. Analysing the Trade-Off Between Computational Performance and Representation Richness in Ontology-Based Systems. Transactions on Petri Nets and Other Models of Concurrency XV. 2019; ():237-250.
Chicago/Turabian StyleSalvatore F. Pileggi; Fabian C. Peña; Maria Del Pilar Villamil; Ghassan Beydoun. 2019. "Analysing the Trade-Off Between Computational Performance and Representation Richness in Ontology-Based Systems." Transactions on Petri Nets and Other Models of Concurrency XV , no. : 237-250.
One of the most evident and well-known limitations of the Semantic Web technology is its lack of capability to deal with uncertain knowledge. As uncertainty is often part of the knowledge itself or can be inducted by external factors, such a limitation may be a serious barrier for some practical applications. A number of approaches have been proposed to extend the capabilities in terms of uncertainty representation; some of them are just theoretical or not compatible with the current semantic technology; others focus exclusively on data spaces in which uncertainty is or can be quantified. Human-inspired models have been adopted in the context of different disciplines and domains (e.g. robotics and human-machine interaction) and could be a novel, still largely unexplored, pathway to represent uncertain knowledge in the Semantic Web. Human-inspired models are expected to address uncertainties in a way similar to the human one. Within this paper, we (i) briefly point out the limitations of the Semantic Web technology in terms of uncertainty representation, (ii) discuss the potentialities of human-inspired solutions to represent uncertain knowledge in the Semantic Web, (iii) present a human-inspired model and (iv) a reference architecture for implementations in the context of the legacy technology.
Salvatore Flavio Pileggi. A Human-Inspired Model to Represent Uncertain Knowledge in the Semantic Web. Computer Vision 2018, 254 -268.
AMA StyleSalvatore Flavio Pileggi. A Human-Inspired Model to Represent Uncertain Knowledge in the Semantic Web. Computer Vision. 2018; ():254-268.
Chicago/Turabian StyleSalvatore Flavio Pileggi. 2018. "A Human-Inspired Model to Represent Uncertain Knowledge in the Semantic Web." Computer Vision , no. : 254-268.
Guohun Zhu; Jonathan Corcoran; Paul Shyy; Salvatore Flavio Pileggi; Jane Hunter. Analysing journey-to-work data using complex networks. Journal of Transport Geography 2018, 66, 65 -79.
AMA StyleGuohun Zhu, Jonathan Corcoran, Paul Shyy, Salvatore Flavio Pileggi, Jane Hunter. Analysing journey-to-work data using complex networks. Journal of Transport Geography. 2018; 66 ():65-79.
Chicago/Turabian StyleGuohun Zhu; Jonathan Corcoran; Paul Shyy; Salvatore Flavio Pileggi; Jane Hunter. 2018. "Analysing journey-to-work data using complex networks." Journal of Transport Geography 66, no. : 65-79.
UTS ePRESS is the open access publishing arm of the University of Technology Sydney (UTS). Our aim is to remove barriers to knowledge by freely disseminating high quality scholarly works. Through this commitment to open knowledge, we contribute to scholarship that seeks to solve global challenges.
Salvatore F. Pileggi; Antonio A. Lopez-Lorca; Ghassan Beydoun. Ontology in Software Engineering. Australasian Conference on Information Systems 2018 2018, 1 .
AMA StyleSalvatore F. Pileggi, Antonio A. Lopez-Lorca, Ghassan Beydoun. Ontology in Software Engineering. Australasian Conference on Information Systems 2018. 2018; ():1.
Chicago/Turabian StyleSalvatore F. Pileggi; Antonio A. Lopez-Lorca; Ghassan Beydoun. 2018. "Ontology in Software Engineering." Australasian Conference on Information Systems 2018 , no. : 1.
Google Scholar (GS) has progressively emerged as a tool which “provides a simple way to broadly search for scholarly literature across many disciplines and sources.” As a free tool that provides citation metrics, GS has opened the academic word to a much larger audience, according to an open information philosophy. GS’ profiles are largely used not only to have a quick look at the authors and their works but, more and more often, as a “de facto” metric to quickly evaluate the research impact. This process looks unstoppable and discussing about its fairness, advantages and disadvantages, as well as about social implications is out of the scope of this paper. We rather prefer to (1) briefly discuss the changes and the innovation that GS has introduced and to (2) propose possible improvements for analysis on academic citations. Our methods are aimed at considering a GS profile in its proper context, providing a social perspective on academic citations: Although maintaining a fundamentally quantitative focus, novel approaches, based on complex network analysis, distinguish between a research impact on the authors’ research network and a more general impact on the scientific community.
Salvatore F. Pileggi. Looking deeper into academic citations through network analysis: popularity, influence and impact. Universal Access in the Information Society 2017, 17, 541 -548.
AMA StyleSalvatore F. Pileggi. Looking deeper into academic citations through network analysis: popularity, influence and impact. Universal Access in the Information Society. 2017; 17 (3):541-548.
Chicago/Turabian StyleSalvatore F. Pileggi. 2017. "Looking deeper into academic citations through network analysis: popularity, influence and impact." Universal Access in the Information Society 17, no. 3: 541-548.
Salvatore Flavio Pileggi; Jane Hunter. An ontological approach to dynamic fine-grained Urban Indicators. Procedia Computer Science 2017, 108, 2059 -2068.
AMA StyleSalvatore Flavio Pileggi, Jane Hunter. An ontological approach to dynamic fine-grained Urban Indicators. Procedia Computer Science. 2017; 108 ():2059-2068.
Chicago/Turabian StyleSalvatore Flavio Pileggi; Jane Hunter. 2017. "An ontological approach to dynamic fine-grained Urban Indicators." Procedia Computer Science 108, no. : 2059-2068.
The author use Google to find answers at a personal and a professional level in his everyday life. But the author also progressively understand that he's doing exactly the same with big data at a research level as a scientist. Considering God from a strictly philosophical perspective as the “all-knowing,” without any lack of respect to the religious, if you ask the author: what is the closest tangible (or almost tangible) concept of “a God” on Earth? Probably not so long ago the author would have simply answered: Google is God. But right now I believe it is Big Data. The concept of God on Earth is definitely transient in my mind, just like technological evolution. But more realistically, assuming it is just a mental abstraction, Big Data simply has the size and the momentum to mark a new dawn.
Salvatore Flavio Pileggi. Is Big Data the New ?God? on Earth? [Opinion]. IEEE Technology and Society Magazine 2016, 35, 18 -20.
AMA StyleSalvatore Flavio Pileggi. Is Big Data the New ?God? on Earth? [Opinion]. IEEE Technology and Society Magazine. 2016; 35 (1):18-20.
Chicago/Turabian StyleSalvatore Flavio Pileggi. 2016. "Is Big Data the New ?God? on Earth? [Opinion]." IEEE Technology and Society Magazine 35, no. 1: 18-20.
The cooperation among people is one of the key factors for most processes and activities. The efficiency and the effectiveness of the cooperation has an intrinsic value, which significantly affects performances and outcomes. Open communities, as well as spontaneous or predefined virtual organizations, are demanding for a more solid and consistent support for activity scheduling and managing in a context of flexibility and respect of the individual needs. This paper proposes a privacy-friendly model to support virtual organizations in the scheduling and management of their most valuable resource: the time.
Salvatore F. Pileggi. A Privacy-Friendly Model for an Efficient and Effective Activity Scheduling Inside Dynamic Virtual Organizations. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering 2016, 303 -308.
AMA StyleSalvatore F. Pileggi. A Privacy-Friendly Model for an Efficient and Effective Activity Scheduling Inside Dynamic Virtual Organizations. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering. 2016; ():303-308.
Chicago/Turabian StyleSalvatore F. Pileggi. 2016. "A Privacy-Friendly Model for an Efficient and Effective Activity Scheduling Inside Dynamic Virtual Organizations." Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering , no. : 303-308.
Salvatore Flavio Pileggi. Probabilistic Semantics. Procedia Computer Science 2016, 80, 1834 -1845.
AMA StyleSalvatore Flavio Pileggi. Probabilistic Semantics. Procedia Computer Science. 2016; 80 ():1834-1845.
Chicago/Turabian StyleSalvatore Flavio Pileggi. 2016. "Probabilistic Semantics." Procedia Computer Science 80, no. : 1834-1845.