There are many ontologies of the world or of specific phenomena such as time, matter, space, and quantum mechanics1. However, ontologies of information are rather rare. One of the reasons behind this is that information is most frequently associated with communication and computing, and not with ‘the furniture of the world’. But what would be the nature of an ontology of information? For it to be of significant import it should be amenable to formalization in a (...) logico-grammatical formalism. A candidate ontology satisfying such a requirement can be found in some of the ideas of K. Turek, presented in this paper. Turek outlines the ontology of information conceived of as a part of nature, and provides the ‘missing link’ to the Z axiomatic set theory, offering a proposal for developing a formal ontology of information both in its philosophical and logicogrammatical representations. (shrink)

There are many ontologies of the world or of specific phenomena such as time, matter, space, and quantum mechanics1. However, ontologies of information are rather rare. One of the reasons behind this is that information is most frequently associated with communication and computing, and not with ‘the furniture of the world’. But what would be the nature of an ontology of information? For it to be of significant import it should be amenable to formalization in a (...) logico-grammatical formalism. A candidate ontology satisfying such a requirement can be found in some of the ideas of K. Turek, presented in this paper. Turek outlines the ontology of information conceived of as a part of nature, and provides the ‘missing link’ to the Z axiomatic set theory, offering a proposal for developing a formal ontology of information both in its philosophical and logicogrammatical representations. (shrink)

This volume collects the papers presented at the 9th edition of the Formal Ontology in Information Systems conference, FOIS 2016, held July 6–9, 2016, in Annecy, France. As in the previous editions, FOIS 2016 included keynote addresses, full paper presentations, an Ontology Competition, an Early Career Symposium in its scientific program and was preceded by the Interdisciplinary Summer School on Ontological Analysis, now at its third edition and held June 27–July 1 in Bolzano-Bozen, Italy.

Formal Ontology in Information Systems is the flagship conference of the International Association for Ontology and its Applications. Its interdisciplinary research focus lies at the intersection of philosophical ontology, linguistics, logic, cognitive science, and computer science, as well as in the applications of ontological analysis to conceptual modeling, knowledge engineering, knowledge management, information-systems development, library and information science, scientific research, and semantic technologies in general.As in previous years, FOIS 2014 was a nexus of (...) interdisciplinary research and communication. The current proceedings is divided into four main sections, dealing with: foundations; processes, agency and dispositions; methods and tools; and applications. The last of these covers a broad spectrum of areas, including in particular biology and medicine, engineering, and economy. For the first time in its history, the conference hosted a special track: an ontology competition, the aim of which was to encourage authors to make their ontologies publicly available and to allow them to be evaluated according to a set of predetermined criteria. Papers discussing these ontologies can also be found in this volume.The book will be of interest to all those whose work involves the application of ontologies, and who are looking for a current overview of developments in formal ontology. (shrink)

Just as ontology developed over the centuries as part of philosophy, so in recent years ontology has become intertwined with the development of the information sciences. Researchers in various fields have come to realize that a solid foundation for their projects calls for an explicit theorization of the types of entities and relations that make up their respective domains of inquiry, and as the need for integrating such projects arises, so does the need to identify common ontological (...) principles over ad hoc, case-based solutions. This volume collects the papers presented at the third international conference devoted to current research in this area, including invited papers by P. Gärdenfors and A. L. Thomasson. (shrink)

FOIS is the flagship conference of the International Association for Ontology and its Applications, a non-profit organization which promotes interdisciplinary research and international collaboration at the intersection of philosophical ontology, linguistics, logic, cognitive science, and computer science. This book presents the papers delivered at FOIS 2023, the 13th edition of the Formal Ontology in Information Systems conference. The event was held as a sequentially-hybrid event, face-to-face in Sherbrooke, Canada, from 17 to 20 July 2023, and (...) online from 18 to 20 September 2023. In total, 62 articles from 19 different countries were submitted, out of which 25 were accepted for inclusion in the conference and for publication; corresponding to an acceptance rate of 40 percent. The contributions are separated into the book’s three sections: (1) Foundational ontological issues; (2) Methodological issues around the development, alignment, verification and use of ontologies; and (3) Domain ontologies and ontology-based applications. In these sections, ontological aspects from a wide variety of fields are covered, primarily from various engineering domains including cybersecurity, manufacturing, petroleum engineering, and robotics, but also extending to the humanities, social sciences, medicine, and dentistry. A noticeable trend among the contributions in this edition of the conference is the recognition that improving the tools to analyze, align, and improve ontologies is of paramount importance in continuing to advance the field of formal ontology. The book will be of interest to all formal and applied ontology researchers, and to those who use formal ontologies and information systems as part of their work. (shrink)

Researchers in areas such as artificial intelligence, formal and computational linguistics, biomedical informatics, conceptual modeling, knowledge engineering and information retrieval have come to realise that a solid foundation for their research calls for serious work in ontology, understood as a general theory of the types of entities and relations that make up their respective domains of inquiry. In all these areas, attention is now being focused on the content of information rather than on just the formats (...) and languages used to represent information. The clearest example of this development is provided by the many initiatives growing up around the project of the Semantic Web. And, as the need for integrating research in these different fields arises, so does the realisation that strong principles for building well-founded ontologies might provide significant advantages over ad hoc, case-based solutions. The tools of formal ontology address precisely these needs, but a real effort is required in order to apply such philosophical tools to the domain of information systems. Reciprocally, research in the information sciences raises specific ontological questions which call for further philosophical investigations. The purpose of FOIS is to provide a forum for genuine interdisciplinary exchange in the spirit of a unified effort towards solving the problems of ontology, with an eye to both theoretical issues and concrete applications. This book contains a wide range of areas, all of which are important to the development of formal ontologies. (shrink)

The central hypothesis of the collaboration between Language and Computing (L&C) and the Institute for Formal Ontology and Medical Information Science (IFOMIS) is that the methodology and conceptual rigor of a philosophically inspired formal ontology greatly benefits application ontologies. To this end r®, L&C’s ontology, which is designed to integrate and reason across various external databases simultaneously, has been submitted to the conceptual demands of IFOMIS’s Basic Formal Ontology (BFO). With this project (...) we aim to move beyond the level of controlled vocabularies to yield an ontology with the ability to support reasoning applications. Our general procedure has been the implementation of a meta-ontological definition space in which the definitions of all the concepts and relations in LinKBase® are standardized in a framework of first-order logic. In this paper we describe how this standardization has already led to an improvement in the LinKBase® structure that allows for a greater degree of internal coherence than ever before possible. We then show the use of this philosophical standardization for the purpose of mapping external databases to one another, using LinKBase® as translation hub, with a greater degree of success than possible hitherto. We demonstrate how this offers a genuine advance over other application ontologies that have not submitted themselves to the demands of philosophical scrutiny. LinKBase® is one of the world’s largest applications-oriented medical domain ontologies, and BFO is one of the world’s first philosophically driven reference ontologies. The collaboration of the two thus initiates a new phase in the quest to solve the so-called “Tower of Babel”. (shrink)

The article analyzes ontological possibilities of the meaning of information setting. For this, a modern approach of information technologies is considered in relation to setting the meaning of textual information. At the same time, the problem of setting the meaning of number and the meaning of word is formulated, which is discussed from the perspective of an ontological approach based on the solution of the problem of being, where the ontology of semantics is the result of (...) such a solution. As the ontology itself, a relational ontology is chosen, the initial position of which is the thesis: “to be” means “to be distinctive”. Based on this, information is defined as the result of ontological distinction, which allows mathematical formalization through the operation of subtraction, which expresses the essence of ontological distinction. This in turn allows to build constantly a numerical order of the meanings of any information, including textual, while the meaning of the information is its place in such a numerical range. Such a method, called Relational method, leads to an exact numerical specification of the meaning of any information, and by dignity of this numerical form, the meanings of any information can be easily input into a computer with subsequent processing and operation of these senses. (shrink)

In the era of “big data,” science is increasingly information driven, and the potential for computers to store, manage, and integrate massive amounts of data has given rise to such new disciplinary fields as biomedical informatics. Applied ontology offers a strategy for the organization of scientific information in computer-tractable form, drawing on concepts not only from computer and information science but also from linguistics, logic, and philosophy. This book provides an introduction to the field of applied (...) ontology that is of particular relevance to biomedicine, covering theoretical components of ontologies, best practices for ontology design, and examples of biomedical ontologies in use. After defining an ontology as a representation of the types of entities in a given domain, the book distinguishes between different kinds of ontologies and taxonomies, and shows how applied ontology draws on more traditional ideas from metaphysics. It presents the core features of the Basic Formal Ontology (BFO), now used by over one hundred ontology projects around the world, and offers examples of domain ontologies that utilize BFO. The book also describes Web Ontology Language (OWL), a common framework for Semantic Web technologies. Throughout, the book provides concrete recommendations for the design and construction of domain ontologies. (shrink)

We propose a typology of representational artifacts for health care and life sciences domains and associate this typology with different kinds of formal ontology and logic, drawing conclusions as to the strengths and limitations for ontology in a description logics framework. The four types of domain representation we consider are: (i) lexico-semantic representation, (ii) representation of types of entities, (iii) representations of background knowledge, and (iv) representation of individuals. We advocate a clear distinction of the four kinds (...) of representation in order to provide a more rational basis for using ontologies and related artifacts to advance integration of data and enhance interoperability of associated reasoning systems. We highlight the fact that only a minor portion of scientifically relevant facts in a domain such as biomedicine can be adequately represented by formal ontologies as long as the latter are conceived as representations of entity types. In particular, the attempt to encode default or probabilistic knowledge using ontologies so conceived is prone to produce unintended, erroneous models. (shrink)

The term ‘formal ontology’ was first used by the philosopher Edmund Husserl in his Logical Investigations to signify the study of those formal structures and relations – above all relations of part and whole – which are exemplified in the subject-matters of the different material sciences. We follow Husserl in presenting the basic concepts of formal ontology as falling into three groups: the theory of part and whole, the theory of dependence, and the theory of (...) boundary, continuity and contact. These basic concepts are presented in relation to the problem of providing an account of the formal ontology of the mesoscopic realm of everyday experience, and specifically of providing an account of the concept of individual substance. (shrink)

The central hypothesis of the collaboration between Language and Computing (L&C) and the Institute for Formal Ontology and Medical Information Science (IFOMIS) is that the methodology and conceptual rigor of a philosophically inspired formal ontology will greatly benefit software application ontologies. To this end LinKBase®, L&C’s ontology, which is designed to integrate and reason across various external databases simultaneously, has been submitted to the conceptual demands of IFOMIS’s Basic Formal Ontology (BFO). With (...) this, we aim to move beyond the level of controlled vocabularies to yield an ontology with the ability to support reasoning applications. (shrink)

The growth of the Semantic Web resulted in the emergence of various kinds of artificial agents navigating the web, sharing resources and communicating among each other in a more and more sophisticated fashion. No one denies the relevance of research concerning the establishment of architectures and models for representing and enabling interaction and communication among agents. In another domain, ontologies have been consecrated as an essential tool to structure information in order to facilitate shareability and re-usability of knowledge resources (...) like the ones found on the Web. It is therefore no surprise that the management of ontologies by interacting and communicating agents is a hot topic for the whole Semantic Web community. In addition, the ontological foundations of agent interaction still remain a very active research area. The present issue of Applied Ontology on Formal Ontologies for Communicating Agents follows a workshop organized in July/August 2006 in the scope of the 11th European Summer School in Logic, Language and Information. After the workshop we issued an open call for contributions that allowed us to select a focused range of works addressing the research topics raised in the original workshop call. We would like to thank Nicola Guarino and Laure Vieu for their help in the organization process, as well as all the reviewers and authors, all workshop participants and other people who contributed in various ways to the success of the workshop and of this issue of Applied Ontology. (shrink)

In this contribution I propose a contemporary reading of the ontological dimension of Max Scheler’s early phenomenology of sense perception. My examination will start with a brief informal explanation of this theory, and his scientific and philosophical sources. The second step will be the introduction of some elements of Formal Philosophy : this piece of research will focus on N. B. Cocchiarella’s interpretation of FP and it will allow me to introduce the concept of a Philosophical Formal (...) class='Hi'>Ontology in comparison with the computational one. Finally, the third step will be the construction of a semi-formalized model of Scheler’s early phenomenology of sense perception. Here I will use a dynamic-epistemic version of the modal calculus KT5. (shrink)

Description logics and other formal devices are frequently used as means for preventing or detecting mistakes in ontologies. Some of these devices are also capable of inferring the existence of inter-concept relationships that have not been explicitly entered into an ontology. A prerequisite, however, is that this information can be derived from those formal definitions of concepts and relationships which are included within the ontology. In this paper, we present a novel algorithm that is able (...) to suggest relationships among existing concepts in a formal ontology that are not derivable from such formal definitions. The algorithm exploits cross-lingual information that is implicitly present in the collection of terms used in various languages to denote the concepts and relationships at issue. By using a specific experimental design, we are able to quantify the impact of cross-lingual information in coping with underspecification in formal ontologies. (shrink)

Basic Formal Ontology (BFO) is a top-level ontology consisting of thirty-six classes, designed to support information integration, retrieval, and analysis across all domains of scientific investigation, presently employed in over 350 ontology projects around the world. BFO is a genuine top-level ontology, containing no terms particular to material domains, such as physics, medicine, or psychology. In this paper, we demonstrate how a series of cases illustrating common types of change may be represented by universals, (...) defined classes, and relations employing the BFO framework. We provide discussion of these cases to provide a template for other ontologists using BFO, as well as to facilitate comparison with the strategies proposed by ontologists using different top-level ontologies. (shrink)

Two senses of ‘ontology’ can be distinguished in the current literature. First is the sense favored by information scientists, who view ontologies as software implementations designed to capture in some formal way the consensus conceptualization shared by those working on information systems or databases in a given domain. [Gruber 1993] Second is the sense favored by philosophers, who regard ontologies as theories of different types of entities (objects, processes, relations, functions) [Smith 2003]. Where information systems (...) ontologists seek to maximize reasoning efficiency even at the price of simplifications on the side of representation, philosophical ontologists argue that representational adequacy can bring benefits for the stability and resistance to error of an ontological framework and also for its extendibility in the future. In bioinformatics, however, a third sense of ‘ontology’ has established itself, above all as a result of the successes of the Gene Ontology (hereafter: GO), which is a tool for the representation and processing of information about gene products and their biological functions [Gene Ontology Consortium 2000]. We show how Basic Formal Ontology (BFO) has established itself as an overarching ontology drawing on all three of the strands distinguished above, and describe applications of BFO especially in the treatment of biological granularity. (shrink)

Objectives: Medical decision support and other intelligent applications in the life sciences depend on increasing amounts of digital information. Knowledge bases as well as formal ontologies are being used to organize biomedical knowledge and data. However, these two kinds of artefacts are not always clearly distinguished. Whereas the popular RDF(S) standard provides an intuitive triple-based representation, it is semantically weak. Description logics based ontology languages like OWL-DL carry a clear-cut semantics, but they are computationally expensive, and they (...) are often misinterpreted to encode all kinds of statements, including those which are not ontological. Method: We distinguish four kinds of statements needed to comprehensively represent domain knowledge: universal statements, terminological statements, statements about particulars and contingent statements. We argue that the task of formal ontologies is solely to represent universal statements, while the non-ontological kinds of statements can nevertheless be connected with ontological representations. To illustrate these four types of representations, we use a running example from parasitology. Results: We finally formulate recommendations for semantically adequate ontologies that can efficiently be used as a stable framework for more context-dependent biomedical knowledge representation and reasoning applications like clinical decision support systems. (shrink)

The papers collected in this volume exemplify some of the trends in current approaches to logic, language and computation. Written by authors with varied academic backgrounds, the contributions are intended for an interdisciplinary audience. The first part of this volume addresses issues relevant for multi-agent systems: reasoning with incomplete information, reasoning about knowledge and beliefs, and reasoning about games. Proofs as formal objects form the subject of Part II. Topics covered include: contributions on logical frameworks, linear logic, and (...) different approaches to formalized reasoning. Part III focuses on representations and formal methods in linguistic theory, addressing the areas of comparative and temporal expressions, modal subordination, and compositionality. (shrink)

The problem of concept representation is relevant for many sub-fields of cognitive research, including psychology and philosophy, as well as artificial intelligence. In particular, in recent years it has received a great deal of attention within the field of knowledge representation, due to its relevance for both knowledge engineering as well as ontology-based technologies. However, the notion of a concept itself turns out to be highly disputed and problematic. In our opinion, one of the causes of this state of (...) affairs is that the notion of a concept is, to some extent, heterogeneous, and encompasses different cognitive phenomena. This results in a strain between conflicting requirements, such as compositionality, on the one hand and the need to represent prototypical information on the other. In some ways artificial intelligence research shows traces of this situation. In this paper, we propose an analysis of this current state of affairs. Since it is our opinion that a mature methodology with which to approach knowledge representation and knowledge engineering should also take advantage of the empirical results of cognitive psychology concerning human abilities, we outline some proposals for concept representation in formal ontologies, which take into account suggestions from psychological research. Our basic assumption is that knowledge representation systems whose design takes into account evidence from experimental psychology may therefore give better results in many applications. (shrink)

What is the ontology of collective action? I have in mind three connected questions. 1. Do the truth conditions of action sentences about groups require there to be group agents over and above individual agents? 2. Is there a difference, in this connection, between action sentences about informal groups that use plural noun phrases, such as ‘We pushed the car’ and ‘The women left the party early’, and action sentences about formal or institutional groups that use singular noun (...) phrases, such as ‘The United States declared war on Japan on December 8th, 1941’ and ‘The Supreme Court ruled that segregation is unconstitutional in 1954 in Brown vs. Board of Education’? 3. Under what conditions does it make sense to speak of a group doing something together, and what, if anything, is a collective action? In this paper, I argue that a) understanding action sentences about groups does not commit us to the existence of group agents per se, but only to the existence of individual agents; b) there is no difference in this regard between sentences which attribute actions to informal groups on the one hand and institutional groups on the other; c) collective action can be both intentional and unintentional; d) any random group of agents each of whom does something is also a group which does something together; e) while there is a sense in which groups per se perform no primitive collective actions, and therefore no actions at all, f) there is a sensible extension of talk of actions to groups, though it should be treated strictly speaking, like talk of group agents, as a façon de parler, for g) the only agents per se are individuals and the only actions are theirs. -/-. (shrink)

As engineering applications require management of ever larger volumes of data, ontologies offer the potential to capture, manage, and augment data with the capability for automated reasoning and semantic querying. Unfortunately, considerable barriers hinder wider deployment of ontologies in engineering. Key among these is lack of a shared top-level ontology to unify and organise disparate aspects of the field and coordinate co-development of orthogonal ontologies. As a result, many engineering ontologies are limited to their scope, and functionally difficult to (...) extend or interoperate with other engineering ontologies. This paper demonstrates how the use of a top-level ontology, specifically the Basic Formal Ontology (BFO), greatly facilitates interoperability of multiple engineering-related ontologies. We constructed a system of formal linked ontologies by re-engineering legacy ontologies to be conformant with BFO and developing new BFO-conformant ontologies to capture knowledge in the engineering design, enterprise, human factors, manufacturing, and application domain of additive manufacturing. The resulting Integrated Framework for Additively Manufactured Products (IFAMP), including the body knowledge instantiated on its basis, serve as the basis for a proposed Design with Additive Manufacturing Method (DWAM), which we believe can support the design of innovative products with semantically enhanced ideation tools and enhanced access to application domain knowledge. The method and its facilitation through the ontological framework are demonstrated using a case study in medicine. (shrink)

Genera, typically hand-in-hand with their branching species, are essential elements of vocabulary-based information constructs, in particular scientific taxonomies. Should they also feature in formal ontologies, the highest of such constructs? I argue in this article that the answer is “Yes” and that the question posed in its title also has a Yes-answer: The way medieval ontologists sliced up the world into genera does matter to formal ontology. More specifically, the way Dietrich of Freiberg, a Latin scholastic, (...) conceived and applied strictly generic criteria to slice up the world into its entities can provide some guidelines to the field of formal ontology with respect to not only its contents, but also its scope. In particular, Dietrich's information criterion plays here a central role. (shrink)

Numerous research groups are now utilizing Basic Formal Ontology as an upper-level framework to assist in the organization and integration of biomedical information. This paper provides elucidation of the three existing BFO subcategories of realizable entity, namely function, role, and disposition. It proposes one further sub-category of tendency, and considers the merits of recognizing two sub-categories of function for domain ontologies, namely, artifactual and biological function. The motivation is to help advance the coherent ontological treatment of functions, (...) roles, and dispositions, to help provide the potential for more detailed classification, and to shed light on BFO’s general make-up and use. (shrink)

Formal ontologies are nowadays widely considered a standard tool for knowledge representation and reasoning in the Semantic Web. In this context, they are expected to play an important role in helping automated processes to access information. Namely: they are expected to provide a formal structure able to explicate the relationships between different concepts/terms, thus allowing intelligent agents to interpret, correctly, the semantics of the web resources improving the performances of the search technologies. Here we take into account (...) a problem regarding Knowledge Representation in general, and ontology based representations in particular; namely: the fact that knowledge modeling seems to be constrained between conflicting requirements, such as compositionality, on the one hand and the need to represent prototypical information on the other. In particular, most common sense concepts seem not to be captured by the stringent semantics expressed by such formalisms as, for example, Description Logics (which are the formalisms on which the ontology languages have been built). The aim of this work is to analyse this problem, suggesting a possible solution suitable for formal ontologies and semantic web representations. The questions guiding this research, in fact, have been: is it possible to provide a formal representational framework which, for the same concept, combines both the classical modelling view (accounting for compositional information) and defeasible, prototypical knowledge ? Is it possible to propose a modelling architecture able to provide different type of reasoning (e.g. classical deductive reasoning for the compositional component and a non monotonic reasoning for the prototypical one)? We suggest a possible answer to these questions proposing a modelling framework able to represent, within the semantic web languages, a multilevel representation of conceptual information, integrating both classical and non classical (typicality based) information. Within this framework we hypothesise, at least in principle, the coexistence of multiple reasoning processes involving the different levels of representation. (shrink)

Information may be defined as the conceptual or communicable part of the content of mental acts. The content of mental acts includes sensory data as well as concepts, particular as well as general information. An information system is an external (non-mental) system designed to store such content. Information systems afford indirect transmission of content between people, some of whom may put information into the system and others who are among those who use the system. In (...) order for communication to happen, the conceptual systems of the originators and users of the information must be sufficiently similar. A formal conceptual framework that can provide the basis for exchange of information is termed an ontology. In its most fundamental form, ontology studies the most basic constituents of reality. Traditionally, ontology seeks to reflects structures that are independent of thought and cognition. The term ontology is used more broadly in artificial intelligence and software engineering, to refer to the conceptual basis for an information system. (shrink)

We present an ontological analysis of the notion of group agency developed by Christian List and Philip Pettit. We focus on this notion as it allows us to neatly distinguish groups, organizations, corporations – to which we may ascribe agency – from mere aggregates of individuals. We develop a module for group agency within a foundational ontology and we apply it to organizations.

This brief paper aims to underline which are the philosophical limits of mereotopology, when one takes it as a basic unitary theoretical framework for formal ontology. Mereotopology is a first-order theory of the relations among wholes, parts and the boundaries between parts, that combines mereological and topological concepts. Nowadays, with the expression “formal ontology” one intends either the computational (engineering) version, or the philosophical (categorial) one. It is important, then, to avoid terminological confusions. The main philosophical (...) reason that keeps me from developing the connection between computational and philosophical formal ontologies on mereotopological basis is the following: anti-Representationalism and Monism are two ontological stances very difficult to join together, as mereotopology does, if one takes into account the ontological implications of the emerging dynamical dual paradigm in the information theoretic approach to quantum physics. In general, it is this approach to the current fundamental and experimentally extremely successful physical theories about the microphysical realm, namely Quantum Mechanics and Quantum Field Theory, that allows to overcome the “gap” between the two disciplinary fields of formal ontology, making information a physical magnitude. I do not oppose anti-Representationalism, but its connection with the monistic stance, because of the fact that nowadays information appears as a basic component of the microphysical realm just like energy-matter. This fact justifies a realistic but information-matter dual ontology as the proper formal ontology of the emerging paradigm in the information theoretic approach to contemporary quantum physics. The primacy that Aristotle gives to the theory of principle (act/potency) as to the theory of categories is a very helpful tool to solve the main question that arises within a realistic dual ontological theoretical framework: the question of the non-stable nature of the categories, that reflect the increasingly complexity of the physical dynamic realistic orders. Here is the importance of an historical approach to the topic, given also the fact that mereological formal ontology originates with the works of three authors (Bolzano, Brentano, Husserl) that studied, directly or indirectly, Aristotle’s ontology. (shrink)

Ontology is one of today’s buzzwords. It is back in fashion in analytical philosophy and Artificial Intelligence, and major projects and research centres get funding around the world (cf. e.g. the Buffalo Centre for Ontological Research, the Laboratory for Ontology in Turin, the Institute for Formal Ontology and Medical Information Science in Saarland). In the philosophy of science ontology has arguably always been a key area of research, under the guise of ‘The foundations of (...) __’ (physics, biology, chemistry, etc.). Economics however is an exception. Because of economics’ hybrid status, philosophers’ interest in its foundations has traditionally focused on normative issues – typically the theory of rationality that lies at the core of the neoclassical paradigm. What is relatively new, then, 1 is the current growth of interest for the metaphysics of economics as a descriptive scientific discipline (see e.g. Mäki, ed. 2001). (shrink)

The philosophy of science of Patrick Suppes is centered on two important notions that are part of the title of his recent book (Suppes 2002): Representation and Invariance. Representation is important because when we embrace a theory we implicitly choose a way to represent the phenomenon we are studying. Invariance is important because, since invariants are the only things that are constant in a theory, in a way they give the “objective” meaning of that theory. Every scientific theory gives a (...) representation of a class of structures and studies the invariant properties holding in that class of structures. In Suppes’ view, the best way to define this class of structures is via axiomatization. This is because a class of structures is given by a definition, and this same definition establishes which are the properties that a single structure must possess in order to belong to the class. These properties correspond to the axioms of a logical theory. In Suppes’ view, the best way to characterize a scientific structure is by giving a representation theorem for its models and singling out the invariants in the structure. Thus, we can say that the philosophy of science of Patrick Suppes consists in the application of the axiomatic method to scientific disciplines. What I want to argue in this paper is that this application of the axiomatic method is also at the basis of a new approach that is being increasingly applied to the study of computer science and information systems, namely the approach of formal ontologies. The main task of an ontology is that of making explicit the conceptual structure underlying a certain domain. By “making explicit the conceptual structure” we mean singling out the most basic entities populating the domain and writing axioms expressing the main properties of these primitives and the relations holding among them. So, in both cases, the axiomatization is the main tool used to characterize the object of inquiry, being this object scientific theories (in Suppes’ approach), or information systems (for formal ontologies). In the following section I will present the view of Patrick Suppes on the philosophy of science and the axiomatic method, in section 3 I will survey the theoretical issues underlying the work that is being done in formal ontologies and in section 4 I will draw a comparison of these two approaches and explore similarities and differences between them. (shrink)

This work aims to make tense logic a more robust tool for ontologists, philosophers, knowledge engineers and programmers by outlining a fusion of tense logic and ontology of time. In order to make tense logic better understandable, the central formal primitives of standard tense logic are derived as theorems from an informal and intuitive ontology of time. In order to make formulation of temporal propositions easier, temporal operators that were introduced by Georg Henrik von Wright are developed, (...) and mapped to the ontology of time. (shrink)

Changes in an upper level ontology have obvious conse-quences for the domain ontologies that use it at lower levels. It is therefore crucial to document the changes made between successive versions of ontologies of this kind. We describe and apply a method for tracking, explaining and measuring changes between successive versions of upper level ontologies such as the Basic Formal Ontology (BFO). The proposed change-tracking method extends earlier work on Realism-Based Ontology Versioning (RBOV) and Evolutionary Terminology (...) Auditing (ETA). We describe here the application of this evaluation method to changes between BFO 1.0, BFO 1.1, and BFO 2.0. We discuss the issues raised by this application and describe the extensions which we added to the original evaluation schema in order to account for changes in an ontology of this type. Our results show that BFO has undergone eight types of changes that can be systematically explained by the extended evaluation schema. Finally, we discuss problematic cases, possible pitfalls and certain limits of our study that we propose to address in future work. (shrink)

One of the tasks of ontology in information science is to support the classification of entities according to their kinds and qualities. We hold that to realize this task as far as entities such as material objects are concerned we need to distinguish four kinds of entities: substance particulars, quality particulars, substance universals, and quality universals. These form, so to speak, an ontological square. We present a formal theory of classification based on this idea, including both a (...) semantics for the theory and a provably sound axiomatization. (shrink)

The integration of information resources in the life sciences is one of the most challenging problems facing bioinformatics today. We describe how Language and Computing nv, originally a developer of ontology-based natural language understanding systems for the healthcare domain, is developing a framework for the integration of structured data with unstructured information contained in natural language texts. L&C’s LinkSuite™ combines the flexibility of a modular software architecture with an ontology based on rigorous philosophical and logical principles (...) that is designed to comprehend the basic formal relationships that structure both reality and the ways humans perceive and communicate about reality. (shrink)

Ontology has been proposed as a solution to the 'Tower of Babel' problem that threatens the semantic interoperability of information systems constructed independently for the same domain. In information systems research and applications, ontologies are often implemented by formalizing the meanings of words from natural languages. However, words in different natural languages sometimes subdivide the same domain of reality in terms of different conceptual categories. If the words and their associated concepts in two natural languages, or even (...) in two terminological traditions within the same language, do not have common referents in the real world, an ontology based on word meanings will inherit the 'Tower of Babel' problem from the languages involved, rather than solve it. In this paper we present evidence from a preliminary comparison of landscape terms in English with those in the Yindjibarndi language of northwestern Australia demonstrating that this problem is not just hypothetical. Some possible solutions are suggested. (shrink)

This paper seeks to determine the intuitive meaning of the concept of information by indicating its essential (definitional) features and relations with other concepts, such as that of knowledge. The term “information” – as with many other concepts, such as “process”, “force”, “energy” and “matter” – has a certain established meaning in natural languages, which allows it to be used, in science as well as in everyday life, without our possessing any somewhat stricter definition of it. The basic (...) aim here is thus to explicate what it amounts to in the context of its intuitive meaning as encountered in natural languages, what the subject of cognition implicitly presumes when using the term, and to which ontological situations it can be applied. I demonstrate that the essential features of the notion of information include the presence of a material medium, its transformation, the recording and reading of information encoded in the medium, and the grasp of what is recorded, coded and transmitted as an intentional object, where the latter is construed in terms broadly in line with the ontologies of Husserl and Ingarden. Along the way, a number of issues relating to the notion of information are also pointed out: the problem of informational identity, of the existence of virtual objects, and of the choice of an adequate information carrier, as well as formal-ontological problems, including those which concern relations between information carriers and intentional objects. (shrink)

Description Logics are nowadays widely accepted as formalisms which provide reasoning facilities which allow us to discover inconsistencies in ontologies in an automatic fashion. Where ontologies are developed in modular fashion, they allow changes in one module to propogated through the system of ontologies automatically in a way which helps to maintain consistency and stability. For this feature to be utilized effectively, however, requires that domain ontologies be represented in a normalized form.

The authors consider the philosophical and political problem of citizenship, for a number of reasons constantly relevant to the Russian culture. A peculiar methodological bias of consideration gives originality to the work: the ontology of the phenomenon of citizen and citizenship. The emphasis is made on studying the factors and mechanisms for implementing the political and private rights of a nominal citizen, which shows that the current political order in Russia is characterized by the contradiction between the formal (...) norms of externally modern political institutions and the informal practices of their functioning, the Russian Constitution does not exist in the form of existing law as a system of obligations observed by the parties, and it is reasonable to talk about the existing rental estate order and resource allocation. (shrink)

This article presents a formal ontology which accounts for the general nature of artefacts. The objective is to help structure application ontologies in areas where specific artefacts are present - in other words, virtually any area of activity. The conceptualization relies on recent philosophical and psychological research on artefacts, having resulted in a largely consensual theoretical basis. Furthermore, this ontology of artefacts extends the foundational DOLCE ontology and supplements its axiomatization. The conceptual primitives are as follows: (...) artificial entity, intentional production of entities, (state of) capacity, capacity to play a role in actions of a given type, function and functional object. These primitives enable artefacts in general to be characterized as intentionally and successfully produced entities, and isolate an important subclass of “technical” artefacts to which a function is ascribed. Lastly, we emphasize the novelty of this ontology by comparing it with other works with similar objectives. (shrink)

SummaryUnder the assumption of the materialistic‐mechanistic ontology implicit in classical physics, quantum theory as interpreted through Niels Bohr's epistemology of complementarity is not formally objective; i. e., it is not informative of the state of physical systems independent of particular phenomenal manifestations of them. However, an analysis of the notion of the “physical system”, in theory, as experienced, and as existing “in‐itself”, reveals that if the older ontology is replaced, quantum mechanics through complementarity becomes formally objective, points the (...) way toward a new ontology based on the notion of the power to structure interaction between systems, and provides new insights into the relations between theory, observation, and the natural world. (shrink)

My aim is to show how Žižek's political philosophy is informed and made possible by his reading of German Idealism, thus establishing an intrinsic relationship between Žižek's politics and ontology, by focusing on the problematic of “political imagination.” First, we will see to what degree Žižek's interpretation of the Schellingian logic of the Grund lays the foundation for his own appropriation of Marx's analysis of capital and this theorization of the sociopolitical deadlock we find ourselves in. Next, I will (...) show how his reading of Hegel's concept of tarrying with the negative allows him to establish the possibility of a way out of this deadlock while simultaneously giving him resources to rethink orthodox Hegelian-Marxist interpretations of the philosophy of history and the very nature of the communist struggle. In the last section, I will demonstrate how it is the Schellingian-inspired concept of ontological catastrophe, which is implicitly at work in the former as that which guarantees the always formally possible capacity for political imagination and thus the condition of the possibility of an authentically political act. (shrink)