Semantic aware RSS query algebra

  • Authors:
  • Fekade Getahun Taddesse;Richard Chbeir

  • Affiliations:
  • Université de Bourgogne, Dijon Cedex, France;Université de Bourgogne, Dijon Cedex, France

  • Venue:
  • Proceedings of the 12th International Conference on Information Integration and Web-based Applications & Services
  • Year:
  • 2010

Quantified Score

Hi-index 0.01

Visualization

Abstract

Existing XML query algebras are not fully appropriate to retrieve RSS news items mainly due to three reasons: 1) RSS is text rich and its content is dependent on the wording and verbification of the author, thus semantic aware operators are needed; 2) news items are dynamic and consequently time oriented retrieval is needed; 3) a news item may evolve through time, or overlap with other news items and hence identifying relationships between items is also needed. In this paper, we aim to solve these issues by providing a dedicated RSS algebra based on semantic-aware operators that consider RSS characteristics. The provided operators are application domain specific and can be tuned according to the user preferences. We also provide a set of query rewriting and equivalence rules that would be used during query simplification and optimization. In addition and in order to validate our proposal, we present here our prototype that allows a user to formulate RSS query using our operators.