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.

[1]  Aldo Gangemi,et al.  The OntoWordNet Project: Extension and Axiomatization of Conceptual Relations in WordNet , 2003, OTM.

[2]  N. F. Noy,et al.  Ontology Development 101: A Guide to Creating Your First Ontology , 2001 .

[3]  Marc Najork,et al.  Breadth-First Search Crawling Yields High-Quality Pages , 2001 .

[4]  Debajyoti Mukhopadhyay,et al.  Introducing Dynamic Ranking on Web Pages Based on Multiple Ontology Supported Domains , 2010, ICDCIT.

[5]  Debajyoti Mukhopadhyay,et al.  A New Approach to Design Graph Based Search Engine for Multiple Domains Using Different Ontologies , 2008, 2008 International Conference on Information Technology.

[6]  Julie J. Rehmeyer Mapping a medusa: The internet spreads its tentacles , 2009 .

[7]  Jon M. Kleinberg,et al.  Automatic Resource Compilation by Analyzing Hyperlink Structure and Associated Text , 1998, Comput. Networks.

[8]  Deborah L. McGuinness,et al.  An Environment for Merging and Testing Large Ontologies , 2000, KR.

[9]  Massimo Marchiori,et al.  The Quest for Correct Information on the Web: Hyper Search Engines , 1997, Comput. Networks.

[10]  Thomas R. Gruber,et al.  A Translation Approach to Portable Ontologies , 1993 .

[11]  Ian H. Witten,et al.  Managing Gigabytes: Compressing and Indexing Documents and Images , 1999 .

[12]  Ellen Spertus,et al.  ParaSite: Mining Structural Information on the Web , 1997, Comput. Networks.

[13]  Martin van den Berg,et al.  Focused Crawling: A New Approach to Topic-Specific Web Resource Discovery , 1999, Comput. Networks.

[14]  Chanathip Namprempre,et al.  HyPursuit: a hierarchical network search engine that exploits content-link hypertext clustering , 1996, HYPERTEXT '96.

[15]  Debajyoti Mukhopadhyay,et al.  A New Approach to Design Domain Specific Ontology Based Web Crawler , 2007, 10th International Conference on Information Technology (ICIT 2007).

[16]  Thomas R. Gruber,et al.  A translation approach to portable ontology specifications , 1993, Knowl. Acquis..

[17]  Andrew M. Odlyzko,et al.  The Size and Growth Rate of the Internet , 1999, First Monday.