RDF

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  1. Resource Description Framework (RDF) is a family of specifications for a metadata model that is often implemented as an application of XML.[1]
  2. The RDF metadata model is based upon the idea of making statements about resources in the form of a subject-predicate-object expression, called a triple in RDF terminology.[1]
  3. RDF’s role in the semantic web and its relationship to other semantic web languages is described.[2]
  4. The basic concepts of RDF and RDF Schema are explained and an example RDF schema is given.[2]
  5. Limitations of RDF are described.[2]
  6. RDF has been standardized by the World Wide Web Consortium (W3C).[3]
  7. The RDF data model forms the foundation for a wide range of RDF-based technologies including the SPARQL query language, various data exchange formats such as RDF/XML, RDFa, JSON-LD, and...[3]
  8. The Resource Description Framework (RDF) is providing the life sciences with new standards around data and knowledge management.[4]
  9. In the remainder of this editorial, we will briefly outline the various RDF technologies and how they have been used in chemistry so far.[4]
  10. RDF extends the linking structure of the Web to use URIs to name the relationship between things as well as the two ends of the link (this is usually referred to as a “triple”).[5]
  11. The RDF 1.1 specification consists of a suite of W3C Recommendations and Working Group Notes, published in 2014.[5]
  12. This suite also includes an RDF Primer.[5]
  13. A number of textbooks have been published on RDF and on Semantic Web in general.[5]
  14. It is expected that communities of users will assemble to establish RDF systems suited to their collective needs.[6]
  15. RDF is a way of modeling as a resource anything that can be represented as a Universal Resource Identifier.[6]
  16. RDF resources are described in a machine-readable fashion through a framework for specifying—in digital library terminology—metadata.[6]
  17. Figure 6.5 uses RDF to give a graphical description of the book you are holding in your hands.[6]
  18. Being a mature, widely tested and robust technology for modeling data, RDF provides a foundation for publishing and linking these data.[7]
  19. RDF allows for effective data integration from multiple sources.[7]
  20. It is important to know that all data, regardless of their format, can be converted to RDF data.[7]
  21. In plain English, an RDF statement states facts, relationships and data by linking resources of a different kind.[7]
  22. RDF was adopted as a W3C recommendation in 1999.[8]
  23. For example, one way to represent the notion "The sky has the color blue" in RDF is as the triple: a subject denoting "the sky", a predicate denoting "has the color", and an object denoting "blue".[8]
  24. A collection of RDF statements intrinsically represents a labeled, directed multi-graph.[8]
  25. This in theory makes an RDF data model better suited to certain kinds of knowledge representation than are other relational or ontological models.[8]
  26. The Resource Description Framework (RDF) is an infrastructure that enables the encoding, exchange and reuse of structured metadata.[9]
  27. RDF is an application of XML that imposes needed structural constraints to provide unambiguous methods of expressing semantics.[9]
  28. RDF does not stipulate semantics for each resource description community, but rather provides the ability for these communities to define metadata elements as needed.[9]
  29. RDF uses XML (eXtensible Markup Language) as a common syntax for the exchange and processing of metadata.[9]
  30. The Resource Description Framework (RDF) is a general framework for how to describe any Internet resource such as a Web site and its content.[10]
  31. Originally conceived as an extension of the content rating PICS Recommendation, the RDF will in time subsume it, with the idea that it can express any data that a PICS-1.1 label can express.[10]
  32. RDF is now a formal W3C Recommendation, meaning that it is ready for general use.[10]
  33. The schema of classes proposal would save having to repeat descriptions since a single reference to the class of which a particular RDF description was a part would suffice.[10]
  34. This graph view is the easiest possible mental model for RDF and is often used in easy-to-understand visual explanations.[11]
  35. In addition, many practical issues, such as security, ease of use, and compatibility, will be crucial in the success of RDF.[12]
  36. It is expected that knowledge discovery and data mining can benefit from RDF and the Semantic Web.[12]
  37. To tackle this problem, we propose a method of summarizing a large RDF KBs based on representing the RDF graph using the (best) top-k approximate RDF graph patterns.[13]
  38. The method is named SemSum+ and extracts the meaningful/descriptive information from RDF Knowledge Bases and produces a succinct overview of these RDF KBs.[13]
  39. While computing the approximate RDF graph patterns, we also add information on the number of instances each of the patterns represents.[13]
  40. Given that RDF graphs can be large and complex, methods that need to compute the summary by fitting the whole graph in the memory of a (however large) machine will not scale.[13]
  41. The authors suggest extending the SPARQL query language with two new commands GRANT and REVOKE that could be used to manage the delegation of access rights in RDF databases.[14]
  42. Users may delegate rights to other users by specifying an authorisation which grants CONSTRUCT and DESCRIBE privileges to their RDF dataset, one or more RDF graphs or views of the RDF dataset.[14]
  43. A survey and experimental comparison of distributed SPARQL engines for very large RDF data.[15]
  44. A method for fuzzy quantified querying over fuzzy Resource Description Framework graph.[15]
  45. Temporal Data Representation and Querying Based on RDF.[15]
  46. W3C's RDF Validation Service is useful when learning RDF.[16]
  47. It defines the XML document to be an RDF document.[16]
  48. RDF defines only the framework.[16]
  49. In addition, RDF also needs a way to define application-specific classes and properties.[16]
  50. The Resource Description Framework (RDF) is a language for representing information about resources in the World Wide Web.[17]
  51. RDF is intended for situations in which this information needs to be processed by applications, rather than being only displayed to people.[17]
  52. RDF provides a common framework for expressing this information so it can be exchanged between applications without loss of meaning.[17]
  53. Annexes propose an example of atomic resource description, resource description framework (RDF) schema, and a sample resource sheet.[18]
  54. The following files contain RDF documents that aid in the implementation of the sample RDF binding contained in the IMS Meta-data 1.2 specification.[19]
  55. Please note that the RDF binding of IMS meta-data is work in progress and subject to change.[19]
  56. The following files contain an example RDF meta-data instance, including language definitions, a local taxonomy and a local vocabulary.[19]
  57. This covered the emerging Resource Description Framework (RDF) as a technology for describing, publishing and linking many types of data.[20]
  58. RDF provides a common mechanism for data description, ontology integration and exploration using a common query language, SPARQL.[20]
  59. For those working in the life sciences RDF offers a new approach for distributing and consuming biological data.[20]
  60. The use of RDF provides a number of benefits, among which are its capacity to provide the basis for an Internet scale infrastructure for distributed collaboration around shared descriptions of models.[21]
  61. -- Changed the representation of Vocabulary Encoding Schemes to use the dcam:memberOf property instead of rdf:type.[22]
  62. The lessons introduce RDF, present additional details, and then place RDF in the context of other technologies such as XML and JSON.[23]
  63. That means that all data in Semantic Web technologies is represented as RDF.[23]
  64. If you store Semantic Web data, it’s in RDF.[23]
  65. If you query Semantic Web data (typically using SPARQL), it’s RDF data.[23]
  66. Explains the Resource Description Framework (RDF), an infrastructure developed under the World Wide Web Consortium that enables the encoding, exchange, and reuse of structured metadata.[24]
  67. In RDF, the basic model is composed of resources, properties and statements.[25]
  68. Anything described under the RDF model is called a resource.[25]
  69. Note also that RDF and XML are complementary--RDF can specify semantics for XML data in a standardized, interoperable manner.[25]
  70. Furthermore, because the Dublin Core can be accomodated within the RDF model, RDF offers the Clearing-House Mechanism a standardized model for representing named properties and values.[25]
  71. An initial public working draft from the W3C RDF/Topic Maps Interoperability Task Force (RDFTM) presents A Survey of RDF/Topic Maps Interoperability Proposals .[26]
  72. The W3C Resource Description Framework (RDF) is a model developed by the W3C for representing information about resources in the World Wide Web.[26]
  73. The primary goal of this W3C endeavor is to "achieve interoperability between RDF and Topic Maps at the data level.[26]
  74. This Working Draft "consists of a summary and analysis of the major existing proposals for achieving data interoperability between RDF and Topic Maps.[26]
  75. As you can guess, this problem was concerned by some clever guys from the W3C before and they recommended a data model which we call it today as Resource Description Framework in 1999.[27]
  76. RDF data model based on 3 parts: subject, predicate, objects.[27]
  77. Despite I use Turtle format, I encountered a lot of example online which are in RDF/XML format.[27]
  78. As you can observe, RDF structure has very basic format to express relationship between subject and object.[27]
  79. The purpose of RDF is to provide an encoding and interpretation mechanism to online resources so that they are described in a way that particular, defined software can understand.[28]
  80. The NBDC RDF Portal provides a collection of life science datasets in RDF (Resource Description Framework).[29]
  81. RDF - the Resource Description Framework - is a foundation for processing metadata; it provides interoperability between applications that exchange machine-understandable information on the Web.[30]
  82. RDF emphasizes facilities to enable automated processing of Web resources.[30]
  83. RDF with digital signatures will be key to building the "Web of Trust" for electronic commerce, collaboration, and other applications.[30]
  84. The Resource Description Framework project is an ensemble of modules providing comprehensive RDF functionality and interoperability.[31]
  85. RDF is a W3C standard for modeling and sharing distributed knowledge based on a decentralized open-world assumption.[31]

소스

  1. ↑ 1.0 1.1 RDF: Resource Description Framework for metadata - Archive of obsolete content
  2. ↑ 2.0 2.1 2.2 The Resource Description Framework (RDF) and its Vocabulary Description Language RDFS
  3. ↑ 3.0 3.1 Resource Description Framework
  4. ↑ 4.0 4.1 Resource description framework technologies in chemistry
  5. ↑ 5.0 5.1 5.2 5.3 Semantic Web Standards
  6. ↑ 6.0 6.1 6.2 6.3 Resource Description Framework - an overview
  7. ↑ 7.0 7.1 7.2 7.3 What is RDF and Why to Use It?
  8. ↑ 8.0 8.1 8.2 8.3 Resource Description Framework
  9. ↑ 9.0 9.1 9.2 9.3 An Introduction to the Resource Description Framework
  10. ↑ 10.0 10.1 10.2 10.3 What is Resource Description Framework (RDF)?
  11. ↑ About Resource Description Framework
  12. ↑ 12.0 12.1 Resource description framework: metadata and its applications: ACM SIGKDD Explorations Newsletter: Vol 3, No 1
  13. ↑ 13.0 13.1 13.2 13.3 Resource Description Framework (RDF): Concepts and Abstract Syntax
  14. ↑ 14.0 14.1 Access control and the Resource Description Framework: A survey
  15. ↑ 15.0 15.1 15.2 Storing massive Resource Description Framework (RDF) data: a survey
  16. ↑ 16.0 16.1 16.2 16.3 XML RDF
  17. ↑ 17.0 17.1 17.2 SAA Dictionary: Resource Description Framework
  18. ↑ Information technology — User interfaces — Universal remote console — Part 5: Resource description
  19. ↑ 19.0 19.1 19.2 IMS Resource Description Framework (RDF) Bindings
  20. ↑ 20.0 20.1 20.2 Knowledge Exchange Workshop: Resource Description Framework (RDF)
  21. ↑ DEFINING MODELS USING THE RESOURCE DESCRIPTION FRAMEWORK
  22. ↑ DCMI: Expressing Dublin Core™ metadata using the Resource Description Framework (RDF)
  23. ↑ 23.0 23.1 23.2 23.3 Learn RDF
  24. ↑ An Introduction to the Resource Description Framework., Bulletin of the American Society for Information Science, 1998
  25. ↑ 25.0 25.1 25.2 25.3 Resource Description Framework (RDF)
  26. ↑ 26.0 26.1 26.2 26.3 Cover Pages: Resource Description Framework (RDF)
  27. ↑ 27.0 27.1 27.2 27.3 Introduction to Resource Description Framework and SPARQL(RDF 101)
  28. ↑ Resource Description Framework (RDF)
  29. ↑ FAIRsharing: bsg-s000559: RDF
  30. ↑ 30.0 30.1 30.2 UKOLN Metadata Resources
  31. ↑ 31.0 31.1 Resource Description Framework (RDF)

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Spacy 패턴 목록

  • [{'LOWER': 'resource'}, {'LOWER': 'description'}, {'LEMMA': 'framework'}]
  • [{'LEMMA': 'RDF'}]
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