THE SOCIAL PROFILE MODEL AS BASE OF USERS INTERESTS IN SEMANTIC SEARCH ACCORDING TO THE SEMANTIC WEB
Abstract
The problem formulation of the user model used during semantic search as base of interests is reviewed. The profile structure with properties of Semantic Web is shown and the profile is extension of existing type Semantic Web resources which holds data about user’s interests in the Internet. This researchable model will be able use in system with semantic search functionality within such model representation as file based on RDF/JSON. The model representation supports by serialization mechanism of chosen Jena API and any framework (e.g. Java EE, GSW) for development client part of experimental prototype. The key semantic search component has been got.Keywords: semantic search, social profile, social indexing of documents, social network.
Downloads
Published
How to Cite
Issue
Section
License
The authors who publish in this collection agree with the following terms:
• The authors reserve the right to authorship of their work and give the magazine the right to first publish this work under the terms of license CC BY-NC-ND 4.0 (with the Designation of Authorship - Non-Commercial - Without Derivatives 4.0 International), which allows others to freely distribute the published work with a mandatory reference to the authors of the original work and the first publication of the work in this magazine.
• Authors have the right to make independent extra-exclusive work agreements in the form in which they were published by this magazine (for example, posting work in an electronic repository of an institution or publishing as part of a monograph), provided that the link to the first publication of the work in this journal is maintained. .
• Journal policy allows and encourages the publication of manuscripts on the Internet (for example, in institutions' repositories or on personal websites), both before the publication of this manuscript and during its editorial work, as it contributes to the emergence of productive scientific discussion and positively affects the efficiency and dynamics of the citation of the published work (see The Effect of Open Access).