Title :
Query expansion in XML information retrieval: A new approach for terms selection
Author :
Mataoui, M´hamed ; Sebbak, Faouzi ; Benhammadi, Farid ; Bey, Kadda Beghdad
Author_Institution :
IS & DB Lab., Ecole Militaire Polytech., Algiers, Algeria
Abstract :
Query Expansion is an important component for information retrieval systems. It makes possible the reformulation of the initial user query by adding new terms. In this paper, we propose a new approach for term selection in the relevance feedback process. This approach, based on Rocchio formula, is an adaptation to the XML information retrieval context. It can resolve two major problems specific to the XML information retrieval: the overlapping problem in the list of retrieved elements; and the problem of inclusion of irrelevant elements in the selection of new query terms.
Keywords :
XML; information retrieval systems; query processing; relevance feedback; Rocchio formula; XML information retrieval; extensible markup language; information retrieval system; query expansion; query terms selection; relevance feedback process; Context; Data mining; Information retrieval; Java; Ontologies; Programming; XML; Query expansion; XML information retrieval; information retrieval; relevance feedback;
Conference_Titel :
Modeling, Simulation, and Applied Optimization (ICMSAO), 2015 6th International Conference on
Conference_Location :
Istanbul
DOI :
10.1109/ICMSAO.2015.7152208