A distributed IR model based on semantic web

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Abstract

Most of the current information retrieval methods are mainly based on keywords matching, and they can not understand the meaning of the keywords. Though some researches have proposed the methods based on domain ontology, it is difficult to implement the general IR because different ontology bases are heterogeneous. Aiming at the questions above, a distributed IR model based on semantic web services (D-IRSW) is proposed. This model puts different Semantic Retrieval Service (SRS) on special ontology base and the results returned by SRS are processed by Semantic Retrieval Service Engine (SRSE). Experiment shows that this model can improve the precision and recall of IR obviously. © Springer-Verlag Berlin Heidelberg 2006.

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Lin, P. G., Fan, X. Z., Xu, R. Z., & Kang, H. Y. (2006). A distributed IR model based on semantic web. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 4185 LNCS, pp. 725–731). Springer Verlag. https://doi.org/10.1007/11836025_70

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