In 2005, IOS Press published the first issue of applied Ontology. At the time, we argued that, at the core of the journal, there was “a desire to understand the nature of reality and how people construe their world”. We declared that ontology was both “fundamental to human thought” and “to translating our thoughts into computational artifacts” (Guarino & Musen,2005). With an editorial board of distinguished scholars representing the fields of computer science, informatics, information science, philosophy, linguistics, psychology, and social (...) science, we had the firm belief that applied Ontologywould fulfill an important academic niche, becoming an essential forum for discussion on topics such as ontological analysis, conceptual modeling, and the role of domain models in building and managing information systems. The facts now show that we were correct. (shrink)

The goal of the 2010 Ontology Summit was to address the current shortage of persons with ontology expertise by developing a strategy for the education of ontologists. To achieve this goal we studied how ontologists are currently trained, the requirements identified by organizations that hire ontologists, and developments that might impact the training of ontologists in the future. We developed recommendations for the body of knowledge that should be taught and the skills that should be developed by future ontologists; these (...) recommendations are intended as guidelines for institutions and organizations that may consider establishing a program for training ontologists. Further, we recommend a number of specific actions for the community to pursue. (shrink)

In a world that is overflowing with journals and other outlets for scientific publication, the appearance of any new periodical requires some justification. There are already more journals than we can read and more conferences than we can attend. In the case of applied Ontology, we believe that the creation of anew journal not only is completely justifiable, it is downright exciting. For too long, workers in computer science have assumed that content comes for free. “Theory” in computer science has (...) always meant the theory of processes and of computation. We measure the complexity of computer programs in terms of how long it takes machines to execute them, not in terms of how long it takes people to understand and to represent the data on which those programs might operate. We typically describe computer code in terms of algorithms that operate on formal parameters, often without pausing to discuss where the data that might satisfy those parameters come from. This journal was founded on the premise that workers in computer science, informatics, and information science are overdue in paying as much attention to contents as they do to algorithms. (shrink)

The Ontology Summit 2012 explored the current and potential uses of ontology, its methods and paradigms, in big systems and big data: How ontology can be used to design, develop, and operate such systems. The systems addressed were not just software systems, although software systems are typically core and necessary components, but more complex systems that include multiple kinds and levels of human and community interaction with physical-software systems, systems of systems, and the socio-technical environments for those systems which can (...) include cultural, legal, and economic components. The focus themes used for this exploration were Big Systems Engineering, Big Data Challenge, Large Scale Domain Applications, and cross-cutting aspects Ontology Quality, and Federation and Integration of Systems. The Ontology Summit 2012 consisted of over three months of intensive virtual collaborative elaboration of these issues in presentations, panels, and group email. The culmination of these activities was a face-to-face Symposium at the US National Institute of Standards and Technology (NIST), Gaithersburg, MD, USA, 12–13 April 2012. The primary product of this Ontology Summit is the communiqué reported here. But there are other products, some continuing as collaborative, more specifically focused analysis and modeling efforts aligned with various open standards activities. Behind all of these particular products, of course, is the real overriding purpose of the Ontology Summit 2012, which was: the joint collaboration of three distinct communities, the ontology, systems engineering and big systems stakeholder communities, who came together to address common problems, create common understanding and propose common solutions. (shrink)

Nonostante la pervasività della nozione di servizio e le recenti proposte per una Scienza dei Servizi unificata, esistono ancora parecchie inconsistenze tra le varie definizioni di servizio in uso nelle diverse discipline (e spesso anche all'interno della stessa disciplina). In particolare, a dispetto del fatto che l'obiettivo generale di questa scienza dovrebbe essere di permettere a persone e calcolatori di interagire agevolmente con i servizi nella vita di tutti i giorni, molti approcci alla modellazione dei servizi in informatica (specialmente quelli (...) centrati sui servizi web) sembrano focalizzarsi principalmente sugli aspetti connessi al flusso dati, per cui i servizi sono considerati come scatole nere che trasformano un ingresso in un’uscita, e che interoperano tra loro secondo modalità predefinite. Questo modello a scatola nera ha sicuramente i suoi vantaggi ma, stando a quanto dicono Petrie e Bussler, sembra funzionare bene sono all'interno di contesti omogenei, i cosiddetti parchi di servizi, dove l'interoperabilità è tecnicamente possibile solo perché i contenuti e le modalità di erogazione di ogni servizio sono predefiniti e condivisi da tutti i soggetti coinvolti. (shrink)

Nonostante la pervasività della nozione di servizio e le recenti proposte per una Scienza dei Servizi unificata, esistono ancora parecchie inconsistenze tra le varie definizioni di servizio in uso nelle diverse discipline (e spesso anche all'interno della stessa disciplina). In particolare, a dispetto del fatto che l'obiettivo generale di questa scienza dovrebbe essere di permettere a persone e calcolatori di interagire agevolmente con i servizi nella vita di tutti i giorni, molti approcci alla modellazione dei servizi in informatica (specialmente quelli (...) centrati sui servizi web) sembrano focalizzarsi principalmente sugli aspetti connessi al flusso dati, per cui i servizi sono considerati come scatole nere che trasformano un ingresso in un’uscita, e che interoperano tra loro secondo modalità predefinite. Questo modello a scatola nera ha sicuramente i suoi vantaggi ma, stando a quanto dicono Petrie e Bussler, sembra funzionare bene sono all'interno di contesti omogenei, i cosiddetti parchi di servizi, dove l'interoperabilità è tecnicamente possibile solo perché i contenuti e le modalità di erogazione di ogni servizio sono predefiniti e condivisi da tutti i soggetti coinvolti. (shrink)

Ontology as a branch of philosophy is the science of what is, of the kinds and structures of objects, properties, events, processes and relations in every area of reality. ‘Ontology’ is often used by philosophers as a synonym for ‘metaphysics’ (literally: ‘what comes after the Physics’), a term which was used by early students of Aristotle to refer to what Aristotle himself called ‘first philosophy’. The term ‘ontology’ (or ontologia) was itself coined in 1613, independently, by two philosophers, Rudolf Göckel (...) (Goclenius), in his Lexicon philosophicum and Jacob Lorhard (Lorhardus), in his Theatrum philosophicum. The first occurrence in English recorded by the OED appears in Bailey’s dictionary of 1721, which defines ontology as ‘an Account of being in the Abstract’. (shrink)

In recent years, there has been an increasing interest in thedevelopment of ontologically well-founded conceptual models for Information Systems in areas such as Service Management, Accounting Information Systems and Financial Reporting. Economic exchanges are central phenomena in these areas. For this reason, they occupy a prominent position in modelling frameworks such as the REA (Resource-EventAction) ISO Standard as well as the FIBO (Financial Industry BusinessOntology). In this paper, we begin a well-founded ontological analysisof economic exchanges inspired by a recent ontological (...) view on the nature of economic transactions. According to this view, what counts asan economic transaction is based on an agreement on the actions thatthe agents are committed to perform. The agreement is in turn based on convergent preferences about the course of action to bring about. This view enables a unified treatment of economic exchanges, regardless the object of the transaction, and complies with the view that all economictransactions are about services. In this paper, we start developing our analysis in the framework of the Unified Foundational Ontology (UFO). (shrink)

For over a decade now, a community of researchers has contributed to the development of the Unified Foundational Ontology (UFO) - aimed at providing foundations for all major conceptual modeling constructs. This ontology has led to the development of an Ontology-Driven Conceptual Modeling language dubbed OntoUML, reflecting the ontological micro-theories comprising UFO. Over the years, UFO and OntoUML have been successfully employed in a number of academic, industrial and governmental settings to create conceptual models in a variety of different domains. (...) These experiences have pointed out to opportunities of improvement not only to the language itself but also to its underlying theory. In this paper, we take the first step in that direction by revising the theory of types in UFO in response to empirical evidence. The new version of this theory shows that many of the meta-types present in OntoUML (differentiating Kinds, Roles, Phases, Mixins, etc.) should be considered not as restricted to Substantial types but instead should be applied to model Endurant Types in general, including Relator types, Quality types and Mode types. We also contribute a formal characterization of this fragment of the theory, which is then used to advance a metamodel for OntoUML 2.0. Finally, we propose a computational support tool implementing this updated metamodel. (shrink)

Informally speaking, a truthmaker is something in the world in virtue of which the sentences of a language can be made true. This fundamental philosophical notion plays a central role in applied ontology. In particular, a recent nonorthodox formulation of this notion proposed by the philosopher Josh Parsons, which we labelled weak truthamking, has been shown to be extremely useful in addressing a number of classical problems in the area of Conceptual Modeling. In this paper, after revisiting the classical notion (...) of truthmaking, we conduct an in depth analysis of Parsons’ account of weak truthmaking. By doing that, we expose some difficulties in his original formulation. As the main contribution of this paper, we propose solutions to address these issues which are then integrated in a new precise interpretation of truthmaking that is harmonizable with. (shrink)

It is widely recognized that accurately identifying and classifying competitors is a challenge for many companies and entrepreneurs. Nonetheless, it is a paramount activity which provide valuable insights that affect a wide range of strategic decisions. One of the main challenges in competitor identification lies in the complex nature of the competitive relationships that arise in business envi- ronments. These have been extensively investigate over the years, which lead to a plethora of competition theories and frameworks. Still, the concept of (...) competition remains conceptually complex, as none of these approaches properly formalized their assumptions. In this paper, we address this issue by means of an ontological analysis on the notion of competition in general, and of business competition, in particular, leveraging theories from various fields, including Marketing, Strategic Management, Ecology, Psychology and Cognitive Sciences. Our analysis, the first of its kind in the literature, is grounded on the Unified Foundational Ontology (UFO) and allows us to formally characterize why competition arises, as well as to distinguish between three types of business competitive relationships, namely market-level, firm-level and potential competition. (shrink)