A Study on the Correspondence between FCA and ELI Ontologies

International audienceThe description logic EL has been used to support ontology design in various domains, and especially in biology and medicine. EL is known for its efficient reasoning and query answering capabilities. By contrast, ontology design and query answering can be supported and guided within an FCA framework. Accordingly, in this paper, we propose a formal transformation of ELI (an extension of EL with inverse roles) ontologies into an FCA framework, i.e. KELI, and we provide a formal characterization of this transformation. Then we show that SPARQL query answering over ELI ontologies can be reduced to lattice query answering over KELI concept lattices. This simplifies the query answering task and shows that some basic semantic web tasks can be improved when considered from an FCA perspective

A Study on the Correspondence between FCA and ELI Ontologies

Abstract. The description logic EL has been used to support ontology design in various domains, and especially in biology and medicine. EL is known for its efficient reasoning and query answering capabilities. By contrast, ontology design and query answering can be supported and guided within an FCA framework. Accordingly, in this paper, we propose a formal transformation of ELI (an extension of EL with inverse roles) ontologies into an FCA framework, i.e. KELI, and we provide a formal characterization of this transformation. Then we show that SPARQL query answering over ELI ontologies can be reduced to lattice query answering over KELI concept lattices. This simplifies the query answering task and shows that some basic semantic web tasks can be improved when considered from an FCA perspective

Identification des concepts pour la ré-ingénierie des ontologies

Des services élémentaires tels que la restructuration (Ang. refactoring), la fusion (Ang.merge), l’extraction de modules (Ang. modularization), etc., sont indispensables pour la mise en oeuvre d’une plateforme de génie ontologique dont l’un des objectifs essentiels est d’assurer la qualité d’une ontologie qui risque de se détériorer avec l’usage. INUKHUK est une plateforme de ré-ingénierie d’ontologies dont les services ci-haut sont basés sur un cadre formel, dit Analyse Relationnelle de Concepts (ARC). L’ARC a le pouvoir de créer de nouvelles abstractions sur n’importe quel type d’éléments ontologiques (concept, propriété, etc.). Ces abstractions factorisent des descriptions communes à plusieurs éléments et peuvent servir à corriger et/ou enrichir l’ontologie de façon à augmenter sa qualité. Toutefois, ces abstractions, qui sont le fruit d’un calcul mathématique, sont dépourvues de toute sémantique et par conséquent nécessitent un effort de conceptualisation afin d’être justifiées et intégrées à une ontologie. Le but de ce travail est de fouiller le bien fondé d’une abstraction et par la suite l’annoter avec un nom (En Anglais label) de concept. Les retombées sont multiples. D’abord, l’ontologie restructurée est beaucoup plus compréhensible par les experts et utilisateurs car l’enrichissement est autant structurel que sémantique. Ensuite, l’application des métriques de qualité basées sur l’analyse du vocabulaire ontologique pour l’estimation de la qualité de l’ontologie restructurée (Ang., refactored) est tout à fait justifiable. Pour ce faire, plusieurs méthodes de fouille ont été envisagées. La première méthode consiste à l’identification d’un nouveau concept ontologique à partir de la description de l’abstraction générée par l’ARC. La deuxième méthode consiste à confronter l’abstraction générée par l’ARC à des ressources linguistiques et/ou ontologiques existantes telles que WORDNET, structure catégorique de WIKIPEDIA, DBPEDIA, etc. Les deux approches ci-haut ont été implémentées au sein d’un outil, dit TOPICMINER, qui fait désormais partie de la plateforme INUKHUK. TOPICMINER a fait l’objet de plusieurs expérimentations et a retourné des résultats satisfaisants selon le protocole de validation mis en place

Technologies and Applications for Big Data Value

This open access book explores cutting-edge solutions and best practices for big data and data-driven AI applications for the data-driven economy. It provides the reader with a basis for understanding how technical issues can be overcome to offer real-world solutions to major industrial areas. The book starts with an introductory chapter that provides an overview of the book by positioning the following chapters in terms of their contributions to technology frameworks which are key elements of the Big Data Value Public-Private Partnership and the upcoming Partnership on AI, Data and Robotics. The remainder of the book is then arranged in two parts. The first part “Technologies and Methods” contains horizontal contributions of technologies and methods that enable data value chains to be applied in any sector. The second part “Processes and Applications” details experience reports and lessons from using big data and data-driven approaches in processes and applications. Its chapters are co-authored with industry experts and cover domains including health, law, finance, retail, manufacturing, mobility, and smart cities. Contributions emanate from the Big Data Value Public-Private Partnership and the Big Data Value Association, which have acted as the European data community's nucleus to bring together businesses with leading researchers to harness the value of data to benefit society, business, science, and industry. The book is of interest to two primary audiences, first, undergraduate and postgraduate students and researchers in various fields, including big data, data science, data engineering, and machine learning and AI. Second, practitioners and industry experts engaged in data-driven systems, software design and deployment projects who are interested in employing these advanced methods to address real-world problems

Technologies and Applications for Big Data Value

This open access book explores cutting-edge solutions and best practices for big data and data-driven AI applications for the data-driven economy. It provides the reader with a basis for understanding how technical issues can be overcome to offer real-world solutions to major industrial areas. The book starts with an introductory chapter that provides an overview of the book by positioning the following chapters in terms of their contributions to technology frameworks which are key elements of the Big Data Value Public-Private Partnership and the upcoming Partnership on AI, Data and Robotics. The remainder of the book is then arranged in two parts. The first part “Technologies and Methods” contains horizontal contributions of technologies and methods that enable data value chains to be applied in any sector. The second part “Processes and Applications” details experience reports and lessons from using big data and data-driven approaches in processes and applications. Its chapters are co-authored with industry experts and cover domains including health, law, finance, retail, manufacturing, mobility, and smart cities. Contributions emanate from the Big Data Value Public-Private Partnership and the Big Data Value Association, which have acted as the European data community's nucleus to bring together businesses with leading researchers to harness the value of data to benefit society, business, science, and industry. The book is of interest to two primary audiences, first, undergraduate and postgraduate students and researchers in various fields, including big data, data science, data engineering, and machine learning and AI. Second, practitioners and industry experts engaged in data-driven systems, software design and deployment projects who are interested in employing these advanced methods to address real-world problems

Unsettling Artifacts: Biopolitics, Cultural Memory, and the Public Sphere in a (Post)Settler Colony

My dissertation employed intellectual historian Michel Foucault’s notion of biopolitics—which can be most broadly parsed as the political organization of life—to examine the way the lives of Aboriginal people were regulated and surveilled in relation to settler European norms. The study is a focused investigation into a topic with global ramifications: the governance of race and sexuality and the effect of such governance on the production of apparently inclusive cultural productions within the public spheres. I argue that the way in which subaltern peoples have been governed in the past and the way their cultures have been appropriated continue to be in the present is not extraneous to but rather formative of what is often misleadingly called “the” public sphere of dominant societies. In the second part, I analyze the legacies of this biopolitical moment and emphasize, particularly, the cultural politics of affect and trauma in relation to this (not quite) past. Authors addressed include: Xavier Herbert, P. R. Stephensen, Rex Ingamells, Kim Scott, Alexis Wright, and others. I also examine Australian Aboriginal policy texts througout the twentieth century up to the "Bringing Them Home" Report (1997)

Combining SOA and BPM Technologies for Cross-System Process Automation

This paper summarizes the results of an industry case study that introduced a cross-system business process automation solution based on a combination of SOA and BPM standard technologies (i.e., BPMN, BPEL, WSDL). Besides discussing major weaknesses of the existing, custom-built, solution and comparing them against experiences with the developed prototype, the paper presents a course of action for transforming the current solution into the proposed solution. This includes a general approach, consisting of four distinct steps, as well as specific action items that are to be performed for every step. The discussion also covers language and tool support and challenges arising from the transformation

A Political Reading of Humanness : Crianca-Irân and Power Configurations in Guinea-Bissau

Tese especialmente elaborada para obtenção do grau de Doutor em Ciência PolíticaThis dissertation analyses power principles and configurations in Guinea Bissau’s pluralistic political scenario, as highlighted by the phenomenon of the criança-irân (spirit-children). Working within a political theory framework, the grounds for the analysis are endogenous conceptualisations of humanness. The qualitative study takes an interpretivist epistemological and inductive-deductive approach. Its conceptual groundwork is in political relations and intersubjectivity (Levinas, [1946/7] 1987; Bongmba, 2001, Han, [2005] 2019); biopolitics (Agamben, 1995, 1996); communitarian political community (Menkiti, 2002, 2004, Gyekye, 2003, Wiredu, 2001); and the Africanisation of power (Chabal, 1992). The thesis offers an analytical model comprising of three category-concepts: bíos zōḗ, nomos, and locus. The phenomenon of the criança-irân complements the conceptual framework as analytical lenses. The existence of these liminal and hybrid beings (neither human or spirit) points to the threshold ordering relations of power between a political subject (ego) and political subjects other than oneself (alter). The centrality of intersubjective relations, along with the ontological relevance of community and kin (djorson), past-ward temporality, and land (tchon) show the binomial ego-djorson as foundational to the political community. The endogenous polity devises a configuration of power (nomos) that combines the symbolic duties of chiefs with communal councils. As these give preference to participatory, dialogical, and consensual politics, they reveal intersubjective power relations at odds with the foundational principles of the official state nomos. The criança-irân is the signifier of humanness, political relations, and the order of the polity. Broad acknowledgement or acceptance of the phenomenon augments the intermingling of power principles and configurations beyond the institutionalised nomoi. The political space is an example of Africanisation, generated by the syncretism of endogenous and exogenous conceptualisations of power. The result is a hybrid space in which several loci of the political coexist and intertwine.N/