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  • × author_ss:"Poli, R."
  • × type_ss:"a"
  1. Poli, R.: Workshop on Levels of reality as a KO paradigm : Domain theory: a preliminary proposal (2010) 0.00
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    Abstract
    Identifying existing domains of reality is a basic task for knowledge organization. Intuitively, phenomena occurring in each class are more causally homogeneous than those in other classes. Domain theory can be built on both the theory of levels of reality and the theory of wholes. As a discussion example, the domain of biology is analyzed, and core entities and facets of it are identified.
    Type
    a
  2. Poli, R.: Ontology for knowledge organization (1996) 0.00
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    Abstract
    The first main thesis of the paper is that an ontology is not a catalogue of the world, a taxonomy, or a terminology. If anything, an ontology is the general framework within which catalogues, taxonomies, and terminologies may be given suitable organization. The second main thesis is that reality is organized into diverse levels and the are sophisticated dependencies among these levels and within them. An acceptable ontology should be able to model all these relations of dependence
    Type
    a
  3. Gnoli, C.; Poli, R.: Levels of reality and levels of representation (2004) 0.00
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    Abstract
    Ontology, in its philosophical meaning, is the discipline investigating the structure of reality. Its findings can be relevant to knowledge organization, and models of knowledge can, in turn, offer relevant ontological suggestions. Several philosophers in time have pointed out that reality is structured into a series of integrative levels, like the physical, the biological, the mental, and the cultural, and that each level plays as a base for the emergence of more complex levels. More detailed theories of levels have been developed by Nicolai Hartmann and James K. Feibleman, and these have been considered as a source for structuring principles in bibliographic classification by both the Classification Research Group (CRG) and Ingetraut Dahlberg. CRG's analysis of levels and of their possible application to a new general classification scheme based an phenomena instead of disciplines, as it was formulated by Derek Austin in 1969, is examined in detail. Both benefits and open problems in applying integrative levels to bibliographic classification are pointed out.
    Type
    a
  4. Poli, R.: Ontology as categorial analysis (2011) 0.00
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    Abstract
    Ontological categories are organized along a number of different dimensions. The simplest is the distinction between categories that apply to all entities, both real and ideal, and categories that apply only to some families of entities. More complicated is the analysis of the relations that connect categories one to another. Two different exemplifications of the latter case are provided, i.e., the form of duality linking some paired categories and the relations of superformation and superconstruction that connect levels of reality. Furthermore, an in-depth analysis of the category of temporality is presented. Ideas previously advanced by Nicolai Hartmann are exploited throughout the paper.
    Source
    Classification and ontology: formal approaches and access to knowledge: proceedings of the International UDC Seminar, 19-20 September 2011, The Hague, The Netherlands. Eds.: A. Slavic u. E. Civallero
    Type
    a
  5. Poli, R.: Framing information (2003) 0.00
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    Abstract
    The distinction between semiotic, semantic and ontological classifications is introduced. A few examples of semantic and ontological categories are then provided and discussed. The thesis is defended that semantic categories depend an ontological categories.
    Type
    a
  6. Poli, R.: Upper ontologies hold it together (2008) 0.00
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    Abstract
    After presenting some of the basic features of upper ontologies, the thesis is defended that all the relations needed by any concrete application can be generated by a small set of general relations, by adding proper ontological constraints to the general relations' arguments. This procedure provides an explicit and verifiable grounding to all forms of knowledge managements, including acquisition, interchange, integration, reuse, merging, aligning and updating knowledge. Upper ontologies therefore provide cues for developing both unification and decomposition methods. Finally, upper ontologies pave the ground for enhancing automatic reasoning and other machine-oriented procedures. I conclude by mentioning a difficulty in the theory of semantic fields.
    Type
    a