Meta Search Engine Essay

Meta Search Engines
When considering workflow, search engines can be differentiated into two different types. The first classification is referred to as regular search engine with examples such as Yahoo, Google, Bing etc. These are characterized by indexing webpages and presenting search query results to users. A meta search engine on the other hand, provides users with search results via a triangulation of regular search engines. They are also referred to as aggregators serving as a search tool by using data from other search engines in order to generate their results (Berger, 2005; Glover, Lawrence, Birmingham & Giles, 1999). This implies that, with a meta search engine, there is the possibility of getting more results returned for a search conducted using a Meta Search Engine when compared to a regular search engine. It is therefore safe to say meta search engines are “search engines of search engines”. This is however limited to its conceptual design because meta search engines do not have access to data from commercial and successful search engines lie google and yahoo for. Examples of meta search engines are: Dogpile , Clusty , and Mamma , Search.com , Figure 4 presents a conceptual architecture of a meta search engine Figure 4: Architecture of a meta search engine
Hybrid Search Engines

These words are to be carefully selected in order to yield very high level of relevant results. The keywords are also referred to as "search terms". They can be single words, combination of words or phrases. Another approach to search is the use of natural language (everyday communication) processing, which is embedded in the semantic search engines discussed in the later part of this chapter. Interestingly, Google, Yahoo, Bing and other search engines are making frantic efforts to implement natural language and create an everyday conversation possibility in the search