# Intelligent Semantic Web Search Engines: A Brief Survey

G.Madhu1 and Dr.A.Govardhan2 **Dr.T.V.Rajinikanth**3 1**G.Madhu, Sr.Asst. Professor, Dept of Information Technology, VNR VJIET, Hyderabad-90,A.P. INDIA.** 
E-mail: madhu_g@vnrvjiet.in 2 Dr. A.Govardhan, Principal, J.N.T.U College of Engineering, Jagityal. **Karimnagar Dist-505 452. A.P.INDIA** 
E-mail: **govardhan_cse@yahoo.co.in**
3**Dr. T.V. RajiniKanth,, Professor & HOD, Dept of Information Tech, GRIET,Hyderabad-500072., A.P INDIA** 
E-mail: **rajinitv_03@yahoo.co.in**

## A**Bstract**

The World Wide Web (WWW) allows the people to share the information (data) from the large database repositories globally. The amount of information grows billions of databases. We need to search the information will specialize tools known generically search engine. There are many of search engines available today, retrieving meaningful information is difficult. However to overcome this problem in search engines to retrieve meaningful information intelligently, semantic web technologies are playing a major role. In this paper we present survey on the search engine generations and the role of search engines in intelligent web and semantic search technologies. 

## K**Eywords**

Information retrieval, Intelligent Search, Search Engine, Semantic web. 

## 1. I**Ntroduction**

The Semantic Web is an extension of the current Web [1] that allows the meaning of information to be precisely described in terms of well-defined vocabularies that are understood by people and computers. On the Semantic Web information is described using a new W3C standard called the Resource Description Framework (RDF). Semantic Web Search is a search engine for the Semantic Web. Current Web sites can be used by both people and computers to precisely locate and gather information published on the Semantic Web. Ontology [2] is one of the most important concepts used in the semantic web infrastructure, and RDF(S) (Resource Description Framework/Schema) and OWL (Web Ontology Languages) are two W3C recommended data representation models which are used to represent ontologies. The Semantic Web will support more efficient discovery, automation, integration and reuse of data and provide support for interoperability problem which can not be resolved with current web technologies. Currently research on semantic web search engines are in the beginning stage, as the traditional search engines such as *Google, Yahoo, and Bing (MSN)* **and so forth still dominate the present markets** 
of search engines. Most of the search engines search for keywords to answer the queries from users. The search engines usually search web pages for the required information. However they filter the pages from searching unnecessary pages by using advanced algorithms. These search engines can answer topic wise queries efficiently and effectively by developing state-of art algorithms. However they are vulnerable in answering intelligent queries from the user due to the dependence of their results on information available in web pages. The main focus of these search engines is solving these queries with close to accurate results in small time using much researched algorithms. However, it shows that such search engines are vulnerable in answering intelligent queries using this approach. They either show inaccurate results with this approach or show accurate but (could be) unreliable results. With the keywords based searches they usually provide DOI : 10.5121/ijwest.2011.2103 34 