@article{401,
  author = {Bal Kamal, Nouali Omar},
  title = {XML Information Retrieval using ELECTRE III method},
  journal = {Journal of Intelligent Computing},
  year = {2010},
  volume = {1},
  number = {3},
  doi = {},
  url = {http://www.dline.info/jic/fulltext/v1n3/3.pdf},
  abstract = {XML information retrieval aims to retrieve relevant document fragments (XML elements) instead of retrieving whole documents. The retrieved XML elements must not only contain relevant information. They must be of good level of granularity. They must be the most specific and the most exhaustive at once. The coexistence of content and structural information in XML documents makes that multiple heterogynous relevance factors (sources) can be used in retrieval process. As in traditional information retrieval, the most majority of XML information retrieval approaches try to model the notion of relevance and use score function to attribute a relevance score to each XML element. The number of relevance factors used simultaneously is then limited due to their heterogeneity. Our goal is to develop an XML information retrieval approach in which several relevance factors can be used in retrieval process. We propose an approach based on relational aggregation paradigm. The relevance process is not guided by the estimation of relevance degree, but by the comparisons of each pair of XML elements in order to determine a final order of all XML elements, from the most relevant to the less relevant.},
}