Comparison and Evaluation of Semantic Search Engines

Abstract

In this study, we evaluate the performance of five semantic search engines that are available on the web, using 45 criteria, in the form of a researcher-made checklist. Criteria provided in the checklist included both common and semantic features. Common criteria or features are those applicable to all search engines and semantic ones are those only applicable to semantic search engines. Findings show that the selected search engines do not have suitable performance and expected efficiency. DuckDuckGo, has the most points, considering regular features. Cluuz is in the second place with 20 points and Hakia with 18 points was in the third place. Lexxe and Factbites, with scores of 15 and 10 were placed in the next categories in order of their points. In semantic features, DuckDuckGo, with 10/65 points was in the first place. Hakia with 9/99 points was in the second place, and then the search engines Cluuz with 8/66 Points, Lexxe with 8/65 points and Factbites with 7/32 points were allocated to the next levels. The research results also indicated that on the whole, considering ordinary and semantic features, DuckDuckGo with 31/65 points, Cluuz with 28/66, Hakia with 27/99 points, Lexxe with 23/65 points and Factbites with 17/32 points, got the highest scores out of it.

Keywords

• semantic search engines
• performance
• common features
• semantic features