what do you mean by Graph Based Search Engines?
 

A graph database is based on graph theory.As database is created with web front end and configurable storage engines (MYSQL, PostgreSQL, Files, and Hadoop). Graph based engines is a database that uses graph structure with nodes, edges, and properties to represent and store data. Information from the World Wide Web (WWW). While searching the huge digital library available in the WWW, every effort is made to retrieve the most relevant results. Nodes represent entities such as people, business, accounts, or any other item you might want to keep track of.

Search engine is major tool for searching the information from the World Wide Web. For this purpose graph based search engine is used to describe a design and develop methodologies for multiple domain specific search engine based on relevance limit which not only overcomes the problem of knowledge overhead but also support complex queries. Graph based search engine produced exact answer and satisfies the user queries.

Search Engines is a major tool for searching any information from the World Wide Web .The prediction that search would become increasingly semantic and graph-based has certainly proven to be more than true. Not only have the search engines since adopted schema.org as a standard along with microdata as a syntax.

Good Afternoon.
I agree with all of you. Search engine is the major tool for describing the information from the World Wide Web. Graph based Search engine includes graphs, edges, nodes to represent the data and store it.

Well this is really a very useful information. I was not knowing of all that .
Friends...Thanku so much for sharing lovely talk about Graph based search engine but i would like to ask when we need to use that kind of search engines?

Google’s Knowledge Graph search engine is effectively using their version of graph search; however, it is largely focused on information and facts rather than searcher interests and social interactions. While there are some social signals provided via Google+, Knowledge Graph search is primarily based on Wikipedia-type information and other related/verified sources.

The search engine processes natural language queries to return information from across the user’s social network of friends and connections or beyond, depending on the search.