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  1. Interoperability of Disparate Engineering Domain Ontologies Using Basic Formal Ontology.Thomas J. Hagedorn, Barry Smith, Sundar Krishnamurty & Ian R. Grosse - 2019 - Journal of Engineering Design 31.
    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 (...)
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  2. Ontology-Based Fusion of Sensor Data and Natural Language.Erik Thomsen & Barry Smith - 2018 - Applied Ontology 13 (4):295-333.
    We describe a prototype ontology-driven information system (ODIS) that exploits what we call Portion of Reality (POR) representations. The system takes both sensor data and natural language text as inputs and composes on this basis logically structured POR assertions. The goal of our prototype is to represent both natural language and sensor data within a single framework that is able to support both axiomatic reasoning and computation. In addition, the framework should be capable of discovering and representing new kinds of (...)
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  3. A Diagrammatic Representation for Entities and Mereotopological Relations in Ontologies.José M. Parente de Oliveira & Barry Smith - 2017 - In CEUR, vol. 1908.
    In the graphical representation of ontologies, it is customary to use graph theory as the representational background. We claim here that the standard graph-based approach has a number of limitations. We focus here on a problem in the graph-based representation of ontologies in complex domains such as biomedical, engineering and manufacturing: lack of mereotopological representation. Based on such limitation, we proposed a diagrammatic way to represent an entity’s structure and various forms of mereotopological relationships between the entities.
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  4. Developing the Quantitative Histopathology Image Ontology : A Case Study Using the Hot Spot Detection Problem.Metin Gurcan, Tomaszewski N., Overton John, A. James, Scott Doyle, Alan Ruttenberg & Barry Smith - 2017 - Journal of Biomedical Informatics 66:129-135.
    Interoperability across data sets is a key challenge for quantitative histopathological imaging. There is a need for an ontology that can support effective merging of pathological image data with associated clinical and demographic data. To foster organized, cross-disciplinary, information-driven collaborations in the pathological imaging field, we propose to develop an ontology to represent imaging data and methods used in pathological imaging and analysis, and call it Quantitative Histopathological Imaging Ontology – QHIO. We apply QHIO to breast cancer hot-spot detection with (...)
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  5. Guidelines for Writing Definitions in Ontologies.Selja Seppälä, Alan Ruttenberg & Barry Smith - 2017 - Ciência da Informação 46 (1): 73-88.
    Ontologies are being used increasingly to promote the reusability of scientific information by allowing heterogeneous data to be integrated under a common, normalized representation. Definitions play a central role in the use of ontologies both by humans and by computers. Textual definitions allow ontologists and data curators to understand the intended meaning of ontology terms and to use these terms in a consistent fashion across contexts. Logical definitions allow machines to check the integrity of ontologies and reason over data annotated (...)
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  6. Definitions in Ontologies.Selja Seppälä, Alan Ruttenberg, Yonatan Schreiber & Barry Smith - 2016 - Cahiers de Lexicologie 109 (2):175‐207.
    Definitions vary according to context of use and target audience. They must be made relevant for each context to fulfill their cognitive and linguistic goals. This involves adapting their logical structure, type of content, and form to each context of use. We examine from these perspectives the case of definitions in ontologies.
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  7. Aboutness: Towards Foundations for the Information Artifact Ontology.Werner Ceusters & Barry Smith - 2015 - In Proceedings of the Sixth International Conference on Biomedical Ontology (ICBO). CEUR vol. 1515. pp. 1-5.
    The Information Artifact Ontology (IAO) was created to serve as a domain‐neutral resource for the representation of types of information content entities (ICEs) such as documents, data‐bases, and digital im‐ages. We identify a series of problems with the current version of the IAO and suggest solutions designed to advance our understanding of the relations between ICEs and associated cognitive representations in the minds of human subjects. This requires embedding IAO in a larger framework of ontologies, including most importantly the Mental (...)
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  8. Towards a Science of Emerging Media.Barry Smith - 2015 - In J. E. Katz & J. Floyd (eds.), Philosophy of Emerging Media: Understanding, Appreciation and Application. Oxford University Press. pp. 29-48.
    If media studies are to become established as a genuine science, then it needs to be determined what the subject matter of this science is to be. I propose a specification of this subject matter as consisting in: 1. the new sorts of digital entities that have been added to social reality through the invention of the digital computer, and 2. the new sorts of interactions involving human beings which such entities make possible. I support this proposal by examining examples (...)
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  9. An Information Artifact Ontology Perspective on Data Collections and Associated Representational Artifacts.Werner Ceusters - 2012 - Medical Informatics Europe.
    Biomedical data collections are typically compiled on the basis of assessment instruments and associated terminologies and their data structure explained by means of data dictionaries. The Information Artifact Ontology (IAO) is an attempt to give a realism-based account of the essence of information entities and how components of such entities relate to each other and to that what they are information about. Changes in the taxonomy and the definitions of the IAO, most importantly the addition of the terms 'representational artifact' (...)
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  10. The Reality of Brands: Towards an Ontology of Marketing.Wolfgang Grassl - 1999 - American Journal of Economics and Sociology 58:313-360.
    The ontology of marketing, particularly the question of what products and brands are, is still largely unexplored. The ontological status of brands hinges on their relationship with products. Idealists about brands see perceptual or cognitive acts of consumers grouped under the heading ‘brand awareness’ or ‘brand image’ as constitutive for the existence of brands so that, in their view, tools of the marketing mix can influence relevant mental dispositions and attitudes. Brand realists, on the other hand, reject the view of (...)
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