Web-page Indexing based on the Prioritize Ontology Terms

In this world, globalization has become a basic and most popular human trend. To globalize information, people are going to publish the documents in the internet. As a result, information volume of internet has become huge. To handle that huge volume of information, Web searcher uses search engines. The Webpage indexing mechanism of a search engine plays a big role to retrieve Web search results in a faster way from the huge volume of Web resources. Web researchers have introduced various types of Web-page indexing mechanism to retrieve Webpages from Webpage repository. In this paper, we have illustrated a new approach of design and development of Webpage indexing. The proposed Webpage indexing mechanism has applied on domain specific Webpages and we have identified the Webpage domain based on an Ontology. In our approach, first we prioritize the Ontology terms that exist in the Webpage content then apply our own indexing mechanism to index that Webpage. The main advantage of storing an index is to optimize the speed and performance while finding relevant documents from the domain specific search engine storage area for a user given search query.Comment: 9 pages, 3 figures, 2 tables. ICWA 2013 International Conferenc

Web-page Prediction for Domain Specific Web-search using Boolean Bit Mask

Search Engine is a Web-page retrieval tool. Nowadays Web searchers utilize their time using an efficient search engine. To improve the performance of the search engine, we are introducing a unique mechanism which will give Web searchers more prominent search results. In this paper, we are going to discuss a domain specific Web search prototype which will generate the predicted Web-page list for user given search string using Boolean bit mask.Comment: 10 pages, 3 figure

Introducing a New Mechanism for Construction of an Efficient Search Model

Search engine has become an inevitable tool for retrieving information from the WWW. Web researchers introduce lots of algorithms to modify search engine based on different features. Sometimes those algorithms are domain related, sometimes they are Web page ranking related, and sometimes they are efficiency related and so on. We are introducing such a type of algorithm which is multiple domains as well as efficiency related. In this paper, we are providing multilevel indexing on top of Index Based Acyclic Graph (IBAG) which support multiple Ontologies as well as reduce search time. IBAG contains only domains related pages and are constructed from Relevant Page Graph (RPaG). We have also provided a comparative study of time complexity for the various models.Comment: 7 pages, 7 figure