Analyzing some recent architectures for semantic search at IR and QA systems that use ontologies

Abstract

Finding relevant information in the web, knowledge databases and different databases on personal computers is 
becoming a relevant task for companies. The quantity of information is increasing substantially including data 
from unstructured or structured resources. In order to reduce the cost for finding information and achieve relevant 
results there is a need to build a very complex query which indeed is a serious challenge. Data volumes are 
growing at 60% annually and up to 80% of this data in any organization can be unstructured. In this paper we will 
try to scan the current situation of IR (Information Retrieval) and QA (Query Answer) systems that use ontology. 
Further we’ll analyze and discuss the process of reporting in visual search in multidimensional information 
spaces and we evaluate some architectures for semantic search combined with modern visual and interactive 
technics.