scholarly journals Towards Distributed Information Retrieval in the Semantic Web: Query Reformulation Using the oMAP Framework

2006 ◽  
pp. 378-392 ◽  
Author(s):  
Umberto Straccia ◽  
Raphaël Troncy
Keyword(s):  
Information Retrieval ◽  
Semantic Web ◽  
Query Reformulation ◽  
Distributed Information ◽  
Distributed Information Retrieval

Improving Results Aggregation Strategies in Distributed Information Retrieval

2015 ◽  
Vol 17 ◽  
pp. 94-104
Author(s):  
Benjamin Ghansah ◽  
Sheng Li Wu ◽  
Nathaniel Ekow Ghansah
Keyword(s):  
Information Retrieval ◽  
User Satisfaction ◽  
Information Needs ◽  
Relevant Information ◽  
General Purpose ◽  
Distributed Information ◽  
Distributed Information Retrieval ◽  
Result Diversification ◽  
Result Merging ◽  
Ranked List

The top-ranked documents from various information sources that are merged together into a unified ranked list may cover the same piece of relevant information, and cannot satisfy different user needs. Result diversification(RD) solves this problem by diversifying results to cover more information needs. In recent times, RD has attracted much attention as a means of increasing user satisfaction in general purpose search engines. A myriad of approaches have been proposed in the related works for the diversification problem. However, no concrete study of search result diversification has been done in a Distributed Information Retrieval(DIR) setting. In this paper, we survey, classify and propose a theoretical framework that aims at improving diversification at the result merging phase of a DIR environment.

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