Please use this identifier to cite or link to this item:
|Title:||Multi-search: A Meta-search Engine Based On Multiple Ontologies|
m. alhashmi, saadat$Other$Other
|Publisher:||Springer, Berlin, Heidelberg|
|Abstract:||In this paper, we present Multi-Search meta-search engine. Multi-Search combines three approaches: meta search, ontology-based semantic translation techniques, and statistically-based semantic relatedness measures. Multi-Search attempts to employ knowledge represented by multiple ontologies for both query translation and returned results merging. In addition, it utilizes semantic relatedness measures to address the issue of missing background knowledge in the used ontologies. The developed system operates on top of several search engines and can be easily extended. Experimental results indicate that the techniques used to build the meta-search engine are both effective and efficient.|
|Appears in Collections:||Faculty & Staff Scientific Research publications|
Files in This Item:
There are no files associated with this item.
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.