Mapping fuzzy RDF(S) into fuzzy object‐oriented databases.

Saved in:
Bibliographic Details
Title: Mapping fuzzy RDF(S) into fuzzy object‐oriented databases.
Authors: Fan, Tianyi1 (AUTHOR), Yan, Li1 (AUTHOR), Ma, Zongmin1 (AUTHOR) zongminma@nuaa.edu.cn
Source: International Journal of Intelligent Systems. Oct2019, Vol. 34 Issue 10, p2607-2632. 26p.
Subjects: World Wide Web Consortium, Object-oriented databases, RDF (Document markup language), World Wide Web, Information resources, Information sharing
Abstract: The Resource Description Framework (RDF) and RDF Schema (RDFS), being a recommendation of World Wide Web Consortium (W3C), have been widely used to exchange and reason information about resources on the web. It is a common case that information about resources may be uncertain under an environment of open web. To deal with uncertainties in resource information, we propose, in this paper, a general fuzzy RDF(S) model, which contains a fuzzy RDFS layer and a fuzzy RDF layer. In particular, we investigate how to formally map the fuzzy RDF(S) model to the fuzzy object‐oriented database model in the paper. We develop mapping rules and implement a prototype system to demonstrate the feasibility of our approach. [ABSTRACT FROM AUTHOR]
Copyright of International Journal of Intelligent Systems is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Engineering Source
Full text is not displayed to guests.
FullText Links:
  – Type: pdflink
Text:
  Availability: 1
Header DbId: egs
DbLabel: Engineering Source
An: 138252412
AccessLevel: 6
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
IllustrationInfo
Items – Name: Title
  Label: Title
  Group: Ti
  Data: Mapping fuzzy RDF(S) into fuzzy object‐oriented databases.
– Name: Author
  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AR" term="%22Fan%2C+Tianyi%22">Fan, Tianyi</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Yan%2C+Li%22">Yan, Li</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Ma%2C+Zongmin%22">Ma, Zongmin</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> zongminma@nuaa.edu.cn</i>
– Name: TitleSource
  Label: Source
  Group: Src
  Data: <searchLink fieldCode="JN" term="%22International+Journal+of+Intelligent+Systems%22">International Journal of Intelligent Systems</searchLink>. Oct2019, Vol. 34 Issue 10, p2607-2632. 26p.
– Name: Subject
  Label: Subjects
  Group: Su
  Data: <searchLink fieldCode="DE" term="%22World+Wide+Web+Consortium%22">World Wide Web Consortium</searchLink><br /><searchLink fieldCode="DE" term="%22Object-oriented+databases%22">Object-oriented databases</searchLink><br /><searchLink fieldCode="DE" term="%22RDF+%28Document+markup+language%29%22">RDF (Document markup language)</searchLink><br /><searchLink fieldCode="DE" term="%22World+Wide+Web%22">World Wide Web</searchLink><br /><searchLink fieldCode="DE" term="%22Information+resources%22">Information resources</searchLink><br /><searchLink fieldCode="DE" term="%22Information+sharing%22">Information sharing</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: The Resource Description Framework (RDF) and RDF Schema (RDFS), being a recommendation of World Wide Web Consortium (W3C), have been widely used to exchange and reason information about resources on the web. It is a common case that information about resources may be uncertain under an environment of open web. To deal with uncertainties in resource information, we propose, in this paper, a general fuzzy RDF(S) model, which contains a fuzzy RDFS layer and a fuzzy RDF layer. In particular, we investigate how to formally map the fuzzy RDF(S) model to the fuzzy object‐oriented database model in the paper. We develop mapping rules and implement a prototype system to demonstrate the feasibility of our approach. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
  Label:
  Group: Ab
  Data: <i>Copyright of International Journal of Intelligent Systems is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=egs&AN=138252412
RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.1002/int.22165
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 26
        StartPage: 2607
    Subjects:
      – SubjectFull: World Wide Web Consortium
        Type: general
      – SubjectFull: Object-oriented databases
        Type: general
      – SubjectFull: RDF (Document markup language)
        Type: general
      – SubjectFull: World Wide Web
        Type: general
      – SubjectFull: Information resources
        Type: general
      – SubjectFull: Information sharing
        Type: general
    Titles:
      – TitleFull: Mapping fuzzy RDF(S) into fuzzy object‐oriented databases.
        Type: main
  BibRelationships:
    HasContributorRelationships:
      – PersonEntity:
          Name:
            NameFull: Fan, Tianyi
      – PersonEntity:
          Name:
            NameFull: Yan, Li
      – PersonEntity:
          Name:
            NameFull: Ma, Zongmin
    IsPartOfRelationships:
      – BibEntity:
          Dates:
            – D: 01
              M: 10
              Text: Oct2019
              Type: published
              Y: 2019
          Identifiers:
            – Type: issn-print
              Value: 08848173
          Numbering:
            – Type: volume
              Value: 34
            – Type: issue
              Value: 10
          Titles:
            – TitleFull: International Journal of Intelligent Systems
              Type: main
ResultId 1