Framework for Formal Ontology Barry Smith and Kevin Mulligan
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A Survey of Top-Level Ontologies to Inform the Ontological Choices for a Foundation Data Model
A survey of Top-Level Ontologies To inform the ontological choices for a Foundation Data Model Version 1 Contents 1 Introduction and Purpose 3 F.13 FrameNet 92 2 Approach and contents 4 F.14 GFO – General Formal Ontology 94 2.1 Collect candidate top-level ontologies 4 F.15 gist 95 2.2 Develop assessment framework 4 F.16 HQDM – High Quality Data Models 97 2.3 Assessment of candidate top-level ontologies F.17 IDEAS – International Defence Enterprise against the framework 5 Architecture Specification 99 2.4 Terminological note 5 F.18 IEC 62541 100 3 Assessment framework – development basis 6 F.19 IEC 63088 100 3.1 General ontological requirements 6 F.20 ISO 12006-3 101 3.2 Overarching ontological architecture F.21 ISO 15926-2 102 framework 8 F.22 KKO: KBpedia Knowledge Ontology 103 4 Ontological commitment overview 11 F.23 KR Ontology – Knowledge Representation 4.1 General choices 11 Ontology 105 4.2 Formal structure – horizontal and vertical 14 F.24 MarineTLO: A Top-Level 4.3 Universal commitments 33 Ontology for the Marine Domain 106 5 Assessment Framework Results 37 F. 25 MIMOSA CCOM – (Common Conceptual 5.1 General choices 37 Object Model) 108 5.2 Formal structure: vertical aspects 38 F.26 OWL – Web Ontology Language 110 5.3 Formal structure: horizontal aspects 42 F.27 ProtOn – PROTo ONtology 111 5.4 Universal commitments 44 F.28 Schema.org 112 6 Summary 46 F.29 SENSUS 113 Appendix A F.30 SKOS 113 Pathway requirements for a Foundation Data F.31 SUMO 115 Model 48 F.32 TMRM/TMDM – Topic Map Reference/Data Appendix B Models 116 ISO IEC 21838-1:2019 -
STUMPF, HUSSERL and INGARDEN of the Application of the Formal Meaningful Categories
Formal Ontology FORMAL ONTOLOGY AS AN OPERATIVE TOOL of theory, categories that must be referred to as the objectual domain, which is determined by the ontological categories. In this way, we IN THE THORIES OF THE OBJECTS OF THE must take into account that, for Husserl, ontological categories are LIFE‐WORLD: formal insofar as they are completely freed from any material domain STUMPF, HUSSERL AND INGARDEN of the application of the formal meaningful categories. Therefore, formal ontology, as developed in the third Logical Investigation, is the corresponding “objective correlate of the concept of a possible theory, 1 Horacio Banega (University of Buenos Aires and National Universi‐ deinite only in respect of form.” 2 ty of Quilmes) Volume XXI of Husserliana provides insight into the theoretical source of Husserlian formal ontology.3 In particular, it strives to deine the theory of manifolds or the debate over the effective nature of what will later be called “set theory.” Thus, what in § of Prolegomena is It is accepted that certain mereological concepts and phenomenolog‐ ical conceptualisations presented in Carl Stumpf’s U ber den psy‐ called a “Theory of Manifolds” (Mannigfaltigkeitslehre) is what Husserl chologischen Ursprung der Raumvorstellung and Tonpsychologie played an important role in the development of the Husserlian formal 1 Edmund Husserl, Logische Untersuchunghen. Zweiter Band, Untersuchungen zur ontology. In the third Logical Investigation, which displays the for‐ Phänomenologie und Theorie der Erkenntnis. Husserliana XIX/ and XIX/, (ed.) U. mal relations between part and whole and among parts that make Panzer (The Hague: Martinus Nijhoff, ), hereafter referred to as Hua XIX/ out a whole, one of the main concepts of contemporary formal ontol‐ and Hua XIX/; tr. -
The Discipline and the Tool
Ontology: The Discipline and the Tool Doug Mayhew1,2, Dirk Siebert1 1 Institute for Formal Ontology and Medical Information Science, University of Leipzig, 04107 Leipzig, Härtelstraße 16-18, Germany doug.mayhew, [email protected] 2 Department of Philosophy, University at Buffalo, New York, USA Abstract. The fields of philosophy and informatics entertain two somewhat dif- ferent conceptions of ontology. Philosophical ontology is a branch of metaphys- ics dating back at least to the time of Plato and Aristotle. Ontology in informat- ics has its origins in the artificial intelligence research of the eighties and nineties. This means that the fields of philosophy and informatics entertain two somewhat different conceptions of ontology and the present paper discusses the relationship between these two conceptions. Differences and similarities are pointed out and variations in methodological approaches are also discussed. Ef- forts to combine the ontological methodologies and resources of the two fields are surveyed, and actual and potential benefits and drawbacks of such collabo- rations are examined. Different Concepts The fields of philosophy and informatics entertain two somewhat different concep- tions of ontology, with correspondingly different notions of what ontology is for. First, we have the age-old conception of ontology as a philosophical discipline. Se- cond, we have the relatively new conception of ontology as an information organiza- tion tool, a notion of ontology adapted from the philosophical conception by artificial intelligence researchers and then adopted by the applications-oriented field of infor- matics. (The philosophical conception was recognized in informatics as early as the late sixties in data modeling research [1].) The two conceptions have their characteris- tic differences, which show up primarily in what each field thinks ontology is for. -
Mereology Then and Now
Logic and Logical Philosophy Volume 24 (2015), 409–427 DOI: 10.12775/LLP.2015.024 Rafał Gruszczyński Achille C. Varzi MEREOLOGY THEN AND NOW Abstract. This paper offers a critical reconstruction of the motivations that led to the development of mereology as we know it today, along with a brief description of some questions that define current research in the field. Keywords: mereology; parthood; formal ontology; foundations of mathe- matics 1. Introduction Understood as a general theory of parts and wholes, mereology has a long history that can be traced back to the early days of philosophy. As a formal theory of the part-whole relation or rather, as a theory of the relations of part to whole and of part to part within a whole it is relatively recent and came to us mainly through the writings of Edmund Husserl and Stanisław Leśniewski. The former were part of a larger project aimed at the development of a general framework for formal ontology; the latter were inspired by a desire to provide a nominalistically acceptable alternative to set theory as a foundation for mathematics. (The name itself, ‘mereology’ after the Greek word ‘µρoς’, ‘part’ was coined by Leśniewski [31].) As it turns out, both sorts of motivation failed to quite live up to expectations. Yet mereology survived as a theory in its own right and continued to flourish, often in unexpected ways. Indeed, it is not an exaggeration to say that today mereology is a central and powerful area of research in philosophy and philosophical logic. It may be helpful, therefore, to take stock and reconsider its origins. -
Toward the Use of Upper Level Ontologies
Toward the use of upper level ontologies for semantically interoperable systems: an emergency management use case Linda Elmhadhbi, Mohamed Hedi Karray, Bernard Archimède To cite this version: Linda Elmhadhbi, Mohamed Hedi Karray, Bernard Archimède. Toward the use of upper level ontolo- gies for semantically interoperable systems: an emergency management use case. 9th Conference on Interoperability for Enterprise Systems and Applications I-ESA2018 Conference, Mar 2018, Berlin, Germany. pp.1-10. hal-02359706 HAL Id: hal-02359706 https://hal.archives-ouvertes.fr/hal-02359706 Submitted on 12 Nov 2019 HAL is a multi-disciplinary open access L’archive ouverte pluridisciplinaire HAL, est archive for the deposit and dissemination of sci- destinée au dépôt et à la diffusion de documents entific research documents, whether they are pub- scientifiques de niveau recherche, publiés ou non, lished or not. The documents may come from émanant des établissements d’enseignement et de teaching and research institutions in France or recherche français ou étrangers, des laboratoires abroad, or from public or private research centers. publics ou privés. Open Archive Toulouse Archive Ouverte (OATAO ) OATAO is an open access repository that collects the wor of some Toulouse researchers and ma es it freely available over the web where possible. This is an author's version published in: http://oatao.univ-toulouse.fr/22794 Official URL : https://doi.org/10.1007/978-3-030-13693-2 To cite this version: Elmhadhbi, Linda and Karray, Mohamed Hedi and Archimède, Bernard Toward the use of upper level ontologies for semantically interoperable systems: an emergency management use case. ( In Press: 2018) In: 9th Conference on Interoperability for Enterprise Systems and Applications I-ESA2018 Conference, 23 March 2018 - 19 March 2018 (Berlin, Germany). -
Ontology and Information Systems
Ontology and Information Systems 1 Barry Smith Philosophical Ontology 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’.2 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’. Methods and Goals of Philosophical Ontology The methods of philosophical ontology are the methods of philosophy in general. They include the development of theories of wider or narrower scope and the testing and refinement of such theories by measuring them up, either against difficult 1 This paper is based upon work supported by the National Science Foundation under Grant No. BCS-9975557 (“Ontology and Geographic Categories”) and by the Alexander von Humboldt Foundation under the auspices of its Wolfgang Paul Program. Thanks go to Thomas Bittner, Olivier Bodenreider, Anita Burgun, Charles Dement, Andrew Frank, Angelika Franzke, Wolfgang Grassl, Pierre Grenon, Nicola Guarino, Patrick Hayes, Kathleen Hornsby, Ingvar Johansson, Fritz Lehmann, Chris Menzel, Kevin Mulligan, Chris Partridge, David W. Smith, William Rapaport, Daniel von Wachter, Chris Welty and Graham White for helpful comments. -
On Classifying Material Entities in Basic Formal Ontology
Interdisciplinary Ontology. Proceedings of the Third Interdisciplinary Ontology Meeting, Tokyo: Keio University Press, 2012, 1-13. On Classifying Material Entities in Basic Formal Ontology Barry Smith Department of Philosophy and National Center for Ontological Research, University at Buffalo 126 Park Hall, Buffalo, NY 14260, USA [email protected] http://ontology.buffalo.edu/smith ABSTRACT. Basic Formal Ontology (BFO) was created in 2002 as an upper-level ontology to support the creation of consistent lower-level ontologies, initially in the subdomains of biomedical research, now also in other areas, including defense and security. BFO is current- ly undergoing revisions in preparation for the release of BFO version 2.0. We summarize some of the proposed revisions in what follows, focusing on BFO’s treatment of material en- tities, and specifically of the category object. 1 Introduction BFO is one of three leading public domain upper-level ontologies used in scientific and other contexts, 1 alongside DOLCE (the Domain Ontology for Linguistic and Cognitive Engineering) [Gangemi et al. 2002] and SUMO (the Suggested Upper Merged Ontology) [Niles and Pease 2001]. BFO differs from the latter, however, in being a strict upper level ontology. Unlike DOLCE and SUMO, it does not contain its own representations of physical, chemical, biological, psychological, or other types of entities which would properly fall within the domains of the special sciences. BFO is therefore, in contrast to these other ontologies, very small, and thus more manageable as an artifact designed for purposes of ontological engineering. As will become clear, however, even a small ontology can bring large challenges from a logico- metaphysical point of view. -
Ontology to Appear in the Encyclopedia of Database Systems, Ling Liu and M
Ontology to appear in the Encyclopedia of Database Systems, Ling Liu and M. Tamer Özsu (Eds.), Springer-Verlag, 2008. TITLE OF ENTRY Ontology BYLINE Tom Gruber, http://tomgruber.org. Formerly of Stanford University, Intraspect Software, and RealTravel.com. SYNONYMS computational ontology, semantic data model, ontological engineering DEFINITION In the context of computer and information sciences, an ontology defines a set of representational primitives with which to model a domain of knowledge or discourse. The representational primitives are typically classes (or sets), attributes (or properties), and relationships (or relations among class members). The definitions of the representational primitives include information about their meaning and constraints on their logically consistent application. In the context of database systems, ontology can be viewed as a level of abstraction of data models, analogous to hierarchical and relational models, but intended for modeling knowledge about individuals, their attributes, and their relationships to other individuals. Ontologies are typically specified in languages that allow abstraction away from data structures and implementation strategies; in practice, the languages of ontologies are closer in expressive power to first-order logic than languages used to model databases. For this reason, ontologies are said to be at the "semantic" level, whereas database schema are models of data at the "logical" or "physical" level. Due to their independence from lower level data models, ontologies are used for integrating heterogeneous databases, enabling interoperability among disparate systems, and specifying interfaces to independent, knowledge-based services. In the technology stack of the Semantic Web standards [1], ontologies are called out as an explicit layer. There are now standard languages and a variety of commercial and open source tools for creating and working with ontologies. -
Beyond Concepts: Ontology As Reality Representation
From Achille Varzi and Laure Vieu (eds.), Proceedings of FOIS 2004. International Conference on Formal Ontology and Information Systems, Turin, 4-6 November 2004 Beyond Concepts: Ontology as Reality Representation Barry Smith Department of Philosophy, University at Buffalo, NY 14260, USA Institute for Formal Ontology and Medical Information Science, Saarland University, 66041 Saarbrücken, Germany Abstract. There is an assumption commonly embraced by ontological engineers, an assumption which has its roots in the discipline of knowledge representation, to the effect that it is concepts which form the subject-matter of ontology. The term ‘con- cept’ is hereby rarely precisely defined, and the intended role of concepts within on- tology is itself subject to a variety of conflicting (and sometimes intrinsically inco- herent) interpretations. It seems, however, to be widely accepted that concepts are in some sense the products of human cognition. The present essay is devoted to the application of ontology in support of research in the natural sciences. It defends the thesis that ontologies de- veloped for such purposes should be understood as having as their subject matter, not concepts, but rather the universals and particulars which exist in reality and are captured in scientific laws. We outline the benefits of a view along these lines by showing how it yields rigorous formal definitions of the foundational relations used in many influential ontologies, illustrating our results by reference to examples drawn from the domain of the life sciences. 1 Idealism It is a matter of considerable astonishment to ontology-minded philosophers that many thoughtful members of the knowledge representation and related communities, including many of those involved in the development of ontologies, have embraced one or other form of idealist, skeptical, or constructionist philosophy. -
Ontology for the Twenty First Century: an Introduction with Recommendations
Ontology for the Twenty First Century: An Introduction with Recommendations by Andrew D. Spear Institute for Formal Ontology and Medical Information Science (IFOMIS), Saarbrücken, Germany University at Buffalo, Buffalo, New York, U.S.A. Forward The material below represents an introduction to ontology, information ontology and ontology design. This introduction is based on the realist approach to ontology and on the associated Basic Formal Ontology (BFO) and principles for best ontology practices that have been developed and researched at IFOMIS in the last four years. While focusing on work done at IFOMIS , the majority of the discussion is intended to be of a very general nature and to be applicable to a large number of theoretical and applied issues in ontology generally. The material available here is part of an ongoing project to provide a one-stop resource and introduction for ontology, with special emphasis on principles for best ontology practices. In this spirit we welcome critical comments, suggestions of further resources for inclusion and feedback regarding the accuracy and usefulness of this material. Acknowledgements Work on this document has been supported by the Wolfgang Paul Program of the Alexander von Humboldt Foundation , the Volkswagen Foundation Project “Forms of Life” and the Network of Excellence in Semantic Interoperability and Data Mining in Biomedicine of the European Union. Thanks are due to a number of people for their help with this project: For detailed comments and feedback, we are grateful to Holger Stenzhorn , Ingvar Johansson , Bastian Fischer and Pierre Grenon . For valuable conversation and comments, Mathias Brochhausen , Cristian Cocos, Boris Hennig, Kristl Laux, Chris Partridge, Stefan Schulz , Ulf Schwarz, Frederic Tremblay, Barry Smith , and the members of the Institute for Philosophical Studies who were present for the April 11, 2006 meeting in Green Bay, Wisconsin should all be thanked. -
Ontology for Information Systems (O4IS) Design Methodology Conceptualizing, Designing and Representing Domain Ontologies
Ontology for Information Systems (O4IS) Design Methodology Conceptualizing, Designing and Representing Domain Ontologies Vandana Kabilan October 2007. A Dissertation submitted to The Royal Institute of Technology in partial fullfillment of the requirements for the degree of Doctor of Technology . The Royal Institute of Technology School of Information and Communication Technology Department of Computer and Systems Sciences IV DSV Report Series No. 07–013 ISBN 978–91–7178–752–1 ISSN 1101–8526 ISRN SU–KTH/DSV/R– –07/13– –SE V All knowledge that the world has ever received comes from the mind; the infinite library of the universe is in our own mind. – Swami Vivekananda. (1863 – 1902) Indian spiritual philosopher. The whole of science is nothing more than a refinement of everyday thinking. – Albert Einstein (1879 – 1955) German-Swiss-U.S. scientist. Science is a mechanism, a way of trying to improve your knowledge of na- ture. It’s a system for testing your thoughts against the universe, and seeing whether they match. – Isaac Asimov. (1920 – 1992) Russian-U.S. science-fiction author. VII Dedicated to the three KAs of my life: Kabilan, Rithika and Kavin. IX Abstract. Globalization has opened new frontiers for business enterprises and human com- munication. There is an information explosion that necessitates huge amounts of informa- tion to be speedily processed and acted upon. Information Systems aim to facilitate human decision-making by retrieving context-sensitive information, making implicit knowledge ex- plicit and to reuse the knowledge that has already been discovered. A possible answer to meet these goals is the use of Ontology. -
A Formal Ontology of Artefacts
A formal ontology of artefacts A formal ontology of artefacts Gilles Kassel MIS Laboratory (Modelling, Information and Systems), Connaissances research group, Jules Verne University of Picardie, Amiens, France Abstract. 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. Keywords: ontology of artefacts, formal ontology, technical artefacts, function, knowledge representation, reification 1. Introduction The NeuroLOG1 project has developed an ontology as a component of a software platform designed to help neuroimaging researchers share resources (i.e., images and image processing software) (Temal et al., 2006). This ontology is organized into sub-ontologies with different levels of abstraction. Schematically, three levels can be identified: at the most abstract level, the formal2 DOLCE ontology3 (Masolo et al., 2003) provides a set of abstract concepts (e.g.