User experience and efficiency for semantic search engine
Arooj Fatima, Cristina Luca, George B. Wilson · 2014
Search tools are essential for an information system. Being syntax based, the existing search engines have a number of limitations in particular their difficulty in returning relevant results. Typically these limitations are partly mitigated through use of various customised techniques in order to provide the best possible user experience. Unlike conventional search engines, a semantic web search engine attaches meanings to key words. One of the biggest challenges for such a semantic search engine is to maintain the standard of user experience while serving its purpose of finding relevant data with meanings. A semantic search tool needs to both link meanings to search keywords and be able to efficiently retrieve information. The purpose of this work is to investigate the techniques that can be used for efficient information retrieval and effective user experience within the context of a semantic search engine. We propose two algorithms for query optimisation and ontology crawler.