Quality-Based Recommendation of XML Documents

Laure Berti-Equille 1
1 TEXMEX - Multimedia content-based indexing
IRISA - Institut de Recherche en Informatique et Systèmes Aléatoires, Inria Rennes – Bretagne Atlantique
Abstract : Information quality is multidimensional and can be modeled as an ordered set of weighted criteria. For a collection of XML documents, our approach consists firstly in harvesting and generating information quality indicators and enriching the meta-description of XML documents. Quality metadata are then exploited within the query processing for metadata-driven information retrieval and filtering in order to propose quality-adaptive recommendation strategies (with a quality view as a result) of the queried XML documents. This quality view depends on the user's profile and on his specific information quality requirements. The paper describes the architecture of a quality-based re-commender system for XML documents.
Complete list of metadatas

Cited literature [30 references]  Display  Hide  Download

https://hal.inria.fr/hal-01856348
Contributor : Laure Berti-Equille <>
Submitted on : Friday, August 10, 2018 - 4:58:02 PM
Last modification on : Friday, November 16, 2018 - 1:22:40 AM
Long-term archiving on : Sunday, November 11, 2018 - 1:07:08 PM

File

JDIM-LBE.pdf
Files produced by the author(s)

Identifiers

  • HAL Id : hal-01856348, version 1

Citation

Laure Berti-Equille. Quality-Based Recommendation of XML Documents. Journal of Digital Information Management, Digital Information Research Foundation, 2003, 1 (3), pp.117-128. ⟨hal-01856348⟩

Share

Metrics

Record views

865

Files downloads

33