A LOD-based, query construction and refinement service for web search engines

Nowadays, search engines are the obvious way of finding information on the web. However, there are times when users are forced to engage themselves in long and tedious search sessions during which they have to process their initial query a number of times until they come up with results that satisfy their information needs. This paper proposes a query construction and refinement service that aids users during their engagement with a large scale web search engine. As a proof of concept, GContext is presented and accordingly evaluated as an implementation of the proposed service. GContext integrates various sources of the lod-cloud within the environment of a large scale web search engine.