Assimilation of Information in RDF-Based Knowledge Base

  • Marek Z. Reformat
  • Parisa D. Hossein Zadeh
Part of the Communications in Computer and Information Science book series (CCIS, volume 299)


The Resource Description Framework (RDF) defines an interesting way of representing data based on a simple principle of expressing any piece of information as a triple: subject-property-object. This notion gains a lot of interest as a promising form of representing any type of data and facts on the Web.

This paper is about automatic assimilation of information.

We propose two procedures: one for assessing relevance between two pieces of information, another for information integration. Both of them can be executed by an agent on the behalf of the user. In a nutshell, the idea is as follows: an agent browses the web and finds some facts, determines their relevance to the facts already known to the user, and integrates them. The proposed procedures are based on compatibility of user’s information with the web contents, and on the level of user’s confidence in the information already known to the user.


Resource Description Framework Software Agent Resource Description Framework Graph Resource Description Framework Triple Bilateral Feature 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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  1. [1]
    Lee, T.B., Hendler, J., Lassila, O.: The semantic web. Sci. Am. 284, 34–43 (2001)Google Scholar
  2. [2]
    Gruber, T.R.: A translation approach to portable ontology specifications. Knowl. Acquis. 5, 199–220 (1993)CrossRefGoogle Scholar
  3. [3]
    Shadbolt, N., Hall, W., Berners-Lee, T.: The semantic web revisited. Intelligent Systems 21, 96–101 (2006)CrossRefGoogle Scholar
  4. [4]
    Bizer, C., Heath, T., Berners-Lee, T.: Linked data-the story so far. International Journal on Semantic Web and Information Systems 4, 1–22 (2009)Google Scholar
  5. [5]
    Yager, R.R.: A model of participatory learning. IEEE Trans. on Man, Systems and Cybernetics 20, 1229–1234 (1990)MathSciNetCrossRefGoogle Scholar
  6. [6]
    Hossein Zadeh, P.D., Reformat, M.Z.: Context-aware Similarity Assessment within Semantic Space formed in Linked Data. Submitted to Journal of Ambient Intelligence, and Humanized Computing (2011)Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2012

Authors and Affiliations

  • Marek Z. Reformat
    • 1
  • Parisa D. Hossein Zadeh
    • 1
  1. 1.University of AlbertaEdmontonCanada

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