Barry Smith

The goal of the OBO (Open Biomedical Ontologies) Foundry initiative is to create and maintain an evolving collection of non-overlapping interoperable ontologies that will offer unambiguous representations of the types of entities in biological and biomedical reality. These ontologies are designed to serve non-redundant annotation of data and scientific text. To achieve these ends, the Foundry imposes strict requirements upon the ontologies eligible for inclusion. While these requirements are not met by most existing biomedical terminologies, the latter may nonetheless support the Foundry’s goal of consistent and non-redundant annotation if appropriate mappings of data annotated with their aid can be achieved. To construct such mappings in reliable fashion, however, it is necessary to analyze terminological resources from an ontologically realistic perspective in such a way as to identify the exact import of the ‘concepts’ and associated terms which they contain. We propose a framework for such analysis that is designed to maximize the degree to which legacy terminologies and the data coded with their aid can be successfully used for information-driven clinical and translational research.

Every domain-specific ontology must use as a framework some upper-level ontology which describes the most general domain-independent categories of reality. In the present paper we sketch a new type of upper-level ontology, and we outline an associated knowledge modelling language called GOL – for: General Ontological Language. It turns out that the upper-level ontology underlying well-known standard modelling languages such as KIF, F-Logic and CycL is restricted to the ontology of sets. In a set theory which allows Urelements, however, there will be ontological relations between these Urelements which the set-theoretic machinery cannot capture. In contrast to standard modelling and representation formalisms, GOL provides a machinery for representing and analysing such ontologically basic relations. GOL is thus a genuine extension of KIF and of similar languages. In GOL entities are divided into sets and Urelements, the latter being divided in their turn into individuals and universals. Foremost among the individuals are things or substances, tropes or moments, and situoids: entities containing facts as components.

Health Level 7 (HL7) is an organization seeking to provide universal standards for the exchange of healthcare information. In a document entitled ‘HL7 Version 3 Standard: Data Types’, the HL7 organization advances descriptions of data types recom- mended for use as identifiers. We will argue that the descriptions supplied provide insufficient guidance as to what exactly the entities are which these data types uniquely identify. Are they real things, such as persons or pieces of equipment? Or are they representations of such real things in information artifacts? We here outline the problems faced by HL7 in providing answers to such questions, problems which arise because of the lack of anything like a coherent ontology in the HL7 standard, and we make some recommendations for future improvements.

Neo-Kantianism is common conceived as a philosophy ‘from above’, excelling in speculative constructions – as opposed to the attitude of patient description which is exemplified by the phenomenological turn ‘to the things themselves’. When we study the work of Emil Lask in its relation to that of Husserl and the phenomenologists, however, and when we examine the influences moving in both directions, then we discover that this idea of a radical opposition is misconceived. Lask himself was influenced especially by Husserl’s Logical Investigations, and Husserl, especially in his later writings, was in some respects closer to Kant than were the Neo-Kantians. The contrast between the two philosophers can be illustrated by looking at their view of the objects of judgment; for Lask, as for Kant, judgment can relate to the thing as such only in an indirect way. The world of judgment is a collection of ‘imitations holding a secondary position’. It is cut apart from the plain world of real things by what Lask calls a ‘chasm of artificiality and imagery’. For Husserl, in contrast, the object of judgment is a ‘Sachverhalt’ or state of affairs, something ontologically ‘positive’ in the sense that it is an entity in its own right and does not point beyond itself in the manner of a mere sign or proxy for something else.

In his The Meaning of Disgust, Colin McGinn employs elements of the phenomenological theory of disgust advanced by Aurel Kolnai in 1929. Kolnai’s treatment of what he calls “material” disgust and of its primary elicitors—putrefying organic matter, bodily wastes and secretions, sticky contaminants, vermin—anticipates more recent scientific treatments of this emotion as a mode of protective recoil. While Nina Strohminger charges McGinn with neglecting such scientific studies, we here attempt to show how Kolnai goes beyond experimental findings in his careful description of the phenomenological differences between disgust and other emotions of forceful disapproval.

Published in extended form as "Endurants and Perdurants in Directly Depicting Ontologies", We propose an ontological theory that is powerful enough to describe both complex spatio-temporal processes and the enduring entities that participate in such processes. For this purpose we distinguish between ontologies and metaontology. Ontologies are based on very simple directly depicting languages and fall into two major categories: ontologies of type SPAN and ontologies of type SNAP. These represent two complementary perspectives on reality and result in distinct though compatible systems of categories. In a SNAP (snapshot) ontology we have the enduring entities in a given domain as they exist to be inventoried at some given moment of time. In a SPAN ontology we have perduring entities such as processes and their parts and aggregates. We argue that both kinds of ontology are required, together with the meta-ontology which joins them together. On the level of meta-ontology we are able to impose constraints on ontologies of a sort which can support efficient processing of large amounts of data.

The most obvious varieties of mental phenomena directed to non- existent objects occur in our experiences of works of art. The task of applying the Meinongian ontology of the non-existent to the working out of a theory of aesthetic phenomena was however carried out not by Meinong by his disciple Stephan Witasek in his Grundzüge der allgemeinen Ästhetik of 1904. Witasek shows in detail how our feelings undergo certain sorts of structural modifications when they are directed towards what does not exist. He draws a distinction between genuine mental phenomena and what he calls `phantasy-material', asserting that `the job of the aesthetic object, whether it is a work of art or a product of nature, is to excite and support the actualisation of phantasy-material in the experiencing subject'. We might think of such phantasy-material as a matter of Ersatz-emotions or emotional `slop'. We could then see Witasek's aesthetics as an elaborate taxonomy of the various different sorts of Ersatz-emotions which the subject allows to be stimulated within himself in his intercourse with works of art, and see works of art themselves as machines for the production of ever more subtle varieties of such phantasy-material in the perceiving subject.

Digital Rights Management (DRM) covers the description, identification, trading, protection, monitoring and tracking of all forms of rights over both tangible and intangible assets. The Digital Object Identifier (DOI) system provides a framework for the persistent identification of entities involved in this domain. Although the system has been very well designed to manage object identifiers, some important questions relating to the creation and assignment of identifiers are left open. The paradigm of a Referent Tracking System (RTS) recently advanced in the healthcare and life sciences environment is able to fill these gaps. This is demonstrated by pointing out inconsistencies in the existing DOI models and by showing how they can be corrected using an RTS.

Where some have attempted to apply cognitive methods to the study of geography, the present paper is designed to serve as a starting point for applying methods of geographic ontology to the phenomena of cognition. Agglomerations are aggregates of entities that are dispersed through space on geographic scales. Examples include: plagues, biological species, major world religions. The paper applies standard mereotopological theories of spatial regions to agglomerations in this sense. It offers the beginnings of a general theory of the relations between social, cultural, ethnic and religious agglomerations on the one hand and territorially demarcated spatial objects on the other. In this way it serves as the basis for a general ontological theory of types of human groups and also of types of conflict between these groups. At the same time it provides ontological foundations for the epidemiological study of cognitive phenomena, and especially of cognitive phenomena in the sociopolitical realm.

The IPAP Schizophrenia Algorithm was originally designed in the form of a flow chart to help physicians optimise the treatment of schizophrenic patients. We examined the current version from the perspective of recent work on terminologies and ontologies thereby drawing on the resources of Basic Formal Ontology, and this with the objective to make the algorithm appropriate for Semantic Web applications. We found that Basic Formal Ontology is a rich enough theory to represent all the entities involved and that applying the theory to the IPAP schizophrenia algorithm results in a representation that can be used by software agents to perform monitoring and control in a referent tracking environment.

Ontologies and standards are strongly interrelated and can often be seen as two sides of the same coin. Indeed, standards reflect consensus on the semantics of terms, though different standards might employ different ways to explain the same or very similar concepts semantically. Given the crucial role played by both aspects in OntoCommons, we have interviewed Barry Smith, SUNY Distinguished Professor of Philosophy at the University at Buffalo and one of the External Advisory Board (EAB) members of the OntoCommons project, to better understand what are the challenges and priorities to focus on in this context.

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.

The parceling of land into real estate is more than a simple geometrical affair. Real estate is a historical product of interaction between human beings, political, legal and economic institutions, and the physical environment. And while many authors, from Jeremy Bentham to Hernando de Soto, have drawn attention to the ontological (metaphysical) aspect of property in general, no comprehensive analysis of landed property has been attempted. The paper presents such an analysis and shows how landed property differs from other types of property in a way which implies a special role for political and economic philosophy of property rights in land. This is the Chinese translation of "The Metaphysics of Real Estate", Topoi, 20: 2 (September 2001), 161–172.

In the management of biomedical data, vocabularies such as ontologies and terminologies (O/Ts) are used for (i) domain knowledge representation and (ii) interoperability. The knowledge representation role supports the automated reasoning on, and analysis of, data annotated with O/Ts. At an interoperability level, the use of a communal vocabulary standard for a particular domain is essential for large data repositories and information management systems to communicate consistently with one other. Consequently, the interoperability benefit of selecting a particular O/T as a standard for data exchange purposes is often seen by the end-user as a function of the number of applications using that vocabulary (and, by extension, the size of the user base). Furthermore, the adoption of an O/T as an interoperability standard requires confidence in its stability and guaranteed continuity as a resource.

Als zu Beginn des Jahrhunderts der Realismus wieder ernst genommen wurde, gab es viele Philosophen, die sich mit der Ontologie der Wahrheit befaßten. Unabhängig von der Bestimmung der Wahrheit als Korrespondenzbeziehung wollten sie herausfinden, inwieweit zur Erklärung der Wahrheit von Sätzen besondere Entitäten herangezogen werden müssen. Einige dieser Entitäten, so zum Beispiel Bolzanos ‘Sätze an sich’, Freges ‘Gedanken’ oder die ‘propositions’ von Russell und Moore, wurden als Träger der Eigenschaften Wahrheit und Falschheit aufgefaßt. Einige Philosophen jedoch, wie Russell, Wittgenstein im ›Tractatus‹ und Husserl in den ›Logischen Untersuchungen‹, argumentierten, zusätzlich zu den Wahrheitsträgern bzw. an ihrer Stelle müßten Entitäten angenommen werden, auf Grund deren Sätze und/oder ‘Propositionen’ wahr sind. Solchen Entitäten gab man verschiedene Namen, insbesondere ‘fact’, ‘Tatsache’, ‘state of affairs’ und ‘Sachverhalt’. 1 Wir wollen einer Entscheidung über die Angebrachtheit dieser Ausdrücke nicht vorgreifen und daher zunächst eine neutralere Terminologie verwenden: Alle Entitäten, die für diese zweite Rolle in Frage kommen, wollen wir ‘Wahrmacher’ nennen.

The translational research community, in general, and the Clinical and Translational Science Awards (CTSA) community, in particular, share the vision of repurposing EHRs for research that will improve the quality of clinical practice. Many members of these communities are also aware that electronic health records (EHRs) suffer limitations of data becoming poorly structured, biased, and unusable out of original context. This creates obstacles to the continuity of care, utility, quality improvement, and translational research. Analogous limitations to sharing objective data in other areas of the natural sciences have been successfully overcome by developing and using common ontologies. This White Paper presents the authors’ rationale for the use of ontologies with computable semantics for the improvement of clinical data quality and EHR usability formulated for researchers with a stake in clinical and translational science and who are advocates for the use of information technology in medicine but at the same time are concerned by current major shortfalls. This White Paper outlines pitfalls, opportunities, and solutions and recommends increased investment in research and development of ontologies with computable semantics for a new generation of EHRs.

Works of philosophy written in English have spawned a massive secondary literature dealing with ideas, problems or arguments. But they have almost never given rise to works of ‘commentary’ in the strict sense, a genre which is however a dominant literary form not only in the Confucian, Vedantic, Islamic, Jewish and Scholastic traditions, but also in relation to more recent German-language philosophy. Yet Anglo-Saxon philosophers have themselves embraced the commentary form when dealing with Greek or Latin philosophers outside their own tradition. The paper seeks to establish the reasons for this peculiar asymmetry by examining those factors which might be conducive to the growth of a commentary literature in a given culture.

It is widely understood that protein functions can be exhaustively described in terms of no single parameter, whether this be amino acid sequence or the three-dimensional structure of the underlying protein molecule. This means that a number of different attributes must be used to create an ontology of protein functions. Certainly much of the required information is already stored in databases such as Swiss-Prot, Protein Data Bank, SCOP and MIPS. But the latter have been developed for different purposes and the separate data-structures which they employ are not conducive to the needed data integration. When we attempt to classify the entities in the domain of proteins, we find ourselves faced with a number of cross-cutting principles of classification. Our question here is: how can we bring together these separate taxonomies in order to describe protein functions? Our proposed answer is: via a careful top-level ontological analysis of the relevant principles of classification, combined with a new framework for the simultaneous manipulation of classifications constructed for different purposes.

Works of philosophy written in English have spawned a massive secondary literature dealing with ideas, problems or arguments. But they have almost never given rise to works of ‘commentary’ in the strict sense, a genre which is however a dominant literary form not only in the Confucian, Vedantic, Islamic, Jewish and Scholastic traditions, but also in relation to more recent German-language philosophy. Yet Anglo-Saxon philosophers have themselves embraced the commentary form when dealing with Greek or Latin philosophers outside their own tradition. The paper seeks to establish the reasons for this peculiar asymmetry by examining those factors which might be conducive to the growth of a commentary literature in a given culture.

Outcomes research in healthcare has been a topic much addressed in recent years. Efforts in this direction have been supplemented by work in the areas of guidelines for clinical practice and computer-interpretable workflow and careflow models.In what follows we present the outlines of a framework for understanding the relations between organizations, guidelines, individual patients and patient-related functions. The derived framework provides a means to extract the knowledge contained in the guideline text at different granularities, in ways that can help us to assign tasks within the healthcare organization and to assess clinical performance in realizing the guideline. It does this in a way that preserves the flexibility of the organization in the adoption of the guidelines.