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* ID :  [https://www.wikidata.org/wiki/Q324254 Q324254]

2020년 12월 26일 (토) 05:23 판

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  1. The term ontology draws its traditional meaning from the philosophical discussions of metaphysics pertaining to the nature of being .[1]
  2. In the traditional philosophical discussions (Plato and Aristotle) regarding ontology, the nature of being is concerned with what truly exists.[1]
  3. An other useful ontology is the 'Human phenotype ontology' (http://bioportal.bioontology.org/visualize/45159/) which aims to list disease and how diseases relate to each other in a semi-hierarchy.[2]
  4. The DBpedia Ontology is a shallow, cross-domain ontology, which has been manually created based on the most commonly used infoboxes within Wikipedia.[3]
  5. With the DBpedia 3.2 release, we introduced a new infobox extraction method based on hand-generated mappings of Wikipedia infoboxes to the DBpedia ontology.[3]
  6. With the DBpedia 3.5 release, we introduced a public wiki for writing infobox mappings, editing existing ones as well as editing the DBpedia ontology.[3]
  7. Since the DBpedia 3.7 release, the ontology is a directed-acyclic graph, not a tree.[3]
  8. To many people, the word ‘ontology’ might sound abstract.[4]
  9. What an ontology can do, however, is to “learn” about the semantic meaning of a term through the interlinks between the concepts in its system.[4]
  10. Ontology is often confused with taxonomy.[4]
  11. Building an ontology of occupations, qualifications and skills makes it possible to automatically recognize similarities and differences between job titles.[4]
  12. DNV GL has delivered several successful ontology-based search projects.[5]
  13. Applied Ontology focuses on information content in its broadest sense.[6]
  14. For example, sport teams and competitions are modelled in the Sport Ontology while, curriculum concepts and their associations are modelled in the Curriculum Ontology.[7]
  15. News Pilot projects are currently supported by the Storyline Ontology, built in collaboration with other news organisations.[7]
  16. People, places and organisations that can be relevant to many domains are modelled in the CoreConcepts Ontology.[7]
  17. The Provenance Ontology enables data to be stored in the appropriate named graphs with the necessary ownership and auditing information attached to them.[7]
  18. The ontology of art considers the matter, form, and mode in which art exists.[8]
  19. The way we categorize them depends on our interests, and to that extent ontology is not easily separated from sociology and ideology.[8]
  20. Thomas A. Gruber (“A Translation Approach to Portable Ontology Specifications” – Stanford University, 1992) first defined an ontology as “an explicit specification of a conceptualization.[9]
  21. The term is borrowed from philosophy, where an ontology is a systematic account of Existence.[9]
  22. This set of objects, and the describable relationships among them, are reflected in the representational vocabulary with which a knowledge-based program represents knowledge.[9]
  23. Thus, we can describe the ontology of a program by defining a set of representational terms.[9]
  24. An even more useful tool for uniting language is an ontology.[10]
  25. Ontologies can be created to capture anything, although a single ontology is typically limited to a single area of knowledge, such as anatomy, cellular processes, environmental factors, and so on.[10]
  26. The PREMIS OWL ontology is an RDF encoding of that data model to provide a Linked Data-friendly data management function for a preservation repository, allowing for SPARQL querying.[11]
  27. The PREMIS OWL Ontology Revision Working Group has released a draft revised version of the ontology based on version 3, a major update of the PREMIS data model and Data Dictionary.[11]
  28. Ontology is often considered a subset of taxonomy.[12]
  29. The phenomenological ontology is divided into two: (I) Formal, and (II) Regional, or Material, Ontologies.[13]
  30. In contemporary philosophy, formal ontology has been developed in two principal ways.[13]
  31. Descriptive ontology concerns the collection of information about the list of objects that can be dependent or independent items (real or ideal).[13]
  32. Formalized ontology attempts to constructs a formal codification for the results descriptively acquired at the preceding levels.[13]
  33. The question asked was : What is the difference between ontology and epistemology?[14]
  34. As noted already, ontology is theory of being, and epistemology is theory of knowledge.[14]
  35. `An ontology may take a variety of forms, but necessarily it will include a vocabulary of terms, and some specification of their meaning.[15]
  36. The goal is to create an agreed-upon vocabulary and semantic structure for exchanging information about that domain.[15]
  37. Strictly speaking, an ontology should not contain any instances, because it is supposed to be a conceptualisation of the domain.[15]
  38. The combination of an ontology with associated instances is what is known as a knowledge base.[15]
  39. There are a great many guides to ontology, epistemology and methodology in social research and no need to refer to them all here.[16]
  40. In simple terms, ontology seeks the classification and explanation of entities.[16]
  41. Ontology concerns claims about the nature of being and existence.[16]
  42. In the more down to earth world of social research thinking about ontology refers to beliefs about the fundamental nature of reality, in particular social reality.[16]
  43. An ontology is a formal description of knowledge as a set of concepts within a domain and the relationships that hold between them.[17]
  44. In recent years, there has been an uptake of expressing ontologies using ontology languages such as the Web Ontology Language (OWL).[17]
  45. By specifying both object classes and relationship properties as well as their hierarchical order, OWL enriches ontology modeling in semantic graph databases, also known as RDF triplestores.[17]
  46. The adoption of ontologies helps early hypotheses testing in Pharma by categorizing identified explicit relationships to a causality relation ontology.[17]
  47. 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.[18]
  48. ‘robot-core’ is a library supporting common ontology development tasks, which we call “operations”.[19]
  49. Most ROBOT operations package low-level functionality provided by OWL API into high-level functionality common to ontology development workflows in the OBO community.[19]
  50. ROBOT’s ‘diff’ functionality is used when comparing ontology files, otherwise standard file comparison is used.[19]
  51. Some commands are quite specialized, and most ontology projects will not make use of all of them.[19]
  52. Finally, this work is validated by proof of concept, by mapping the DS4IoT ontology to the NGSI-LD data model, in the frame of the IoTCrawler EU project.[20]
  53. These include RDF and RDF Schemas, Simple Knowledge Organization System (SKOS), Web Ontology Language (OWL), and the Rule Interchange Format (RIF).[21]
  54. In a more complex case the application may need a more detailed ontology as part of the extra information.[21]
  55. One way to help machines understand an abstract concept is by building an ontology, or a graph representing the knowledge of that concept.[22]
  56. Borrowing the concepts of ontology from philosphy, new computer languages, such as OWL, have been developed in AI.[22]
  57. So the five Cs was just an ontology and a way to start maybe a little bit of education with the discussion.[22]
  58. Its drama of willful obliviousness is elevated, through Losey’s aesthetic, into a cinematic ontology.[22]
  59. Thus ontology in philosophy focuses on the abstract essence of objective reality.[23]
  60. However, a more popular definition of ontology was given by Gruber in 1993: “an ontology is an explicit specification of a conceptualization” (Gruber, 1993).[23]
  61. Then ontology was gradually formed and accepted by most scholars and engineers.[23]
  62. (1998) point out that the definition of ontology has four main points, i.e., conceptualization, explicit, formal, and share.[23]
  63. History and scope Wolff contrasted ontology, or general metaphysics, which applied to all things, with special metaphysical theories such as those of the soul, of bodies, or of God.[24]
  64. Wolff claimed that ontology was an a priori discipline that could reveal the essences of things, a view strongly criticized later in the 18th century by David Hume and Immanuel Kant.[24]
  65. After renewed criticism and eclipse under the antimetaphysical movement known as logical positivism, ontology was revived in the mid-20th century by the American philosopher W.V.O. Quine.[24]
  66. In general, a philosopher who believes in many fundamentally different kinds of object has a rich ontology, and one who believes in only a few kinds of object has a sparse ontology.[24]
  67. In the 1980s, the AI community began to use the term ontology to refer to both a theory of a modeled world and a component of knowledge-based systems.[25]
  68. An ontology is a description (like a formal specification of a program) of the concepts and relationships that can formally exist for an agent or a community of agents.[25]
  69. A domain ontology (or domain-specific ontology) represents concepts which belong to a realm of the world, such as biology or politics.[25]
  70. Each domain ontology typically models domain-specific definitions of terms.[25]
  71. Ontology is the branch of philosophy that studies concepts such as existence, being, becoming, and reality.[26]
  72. They are flat because each flat ontology can be represented by a simple set containing all the entities to which this ontology is committed.[26]
  73. Each polycategorical ontology posits a number of categories.[26]
  74. An example of a hierarchical ontology in continental philosophy comes from Nicolai Hartmann.[26]
  75. Both logic and ontology are important areas of philosophy covering large, diverse, and active research projects.[27]
  76. In the following we will first distinguish different philosophical projects that are covered under the terms ‘logic’ and ‘ontology’.[27]
  77. ‘Logic’ and ‘ontology’ are big words in philosophy, and different philosophers have used them in different ways.[27]
  78. We will not be able to survey the history of the different conceptions of logic, or of ontology.[27]
  79. Ontology is committed to building a transparent ecosystem.[28]

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