ContentBasedSearch.ppt

Content Based Search Rajesh Kumar Jain Roll No:(rkjain@cse.iitb.ac.in) Agenda-e-Day Motivation What Do People Want from Search Engine? Types of Search Engines Existing Search Engines (Google, Yahoo, Ask AppliedSemantics) INIS – International Nuclear Information System AgroExplorer Our approach – Functional Architecture with exa. Conclusion and Future Work Motivation Web major source of information. Need for search engines Efficient and time saving. Language barrier. Most relevant documents. Meaning Based Search Used to retrieve most relevant documents Multilingual Search Used to eliminate language barrier. What Do People Want from Search Engine? Integrated Solutions Distributed Solutions Efficient, Flexible Indexing and Retrieval Interfaces and Browsing Effective Retrieval Multimedia Retrieval Information Extraction Relevance Feedback Types of Search Engines Individual Search engines Compile their own databases. Further classified as Keyword based search engines. Search on the keywords. e.g. Google. Meaning based search engines. Search on the meaning or semantics. e.g. AgroExplorer Meta Search engines Do not compile their own databases. Search databases of different search engines. e.g. Dogpile. Subject Directories Created and maintained by human editors. I.e. LIBRARIANS INDEX , INFOMINE , ACADEMIC INFO, http://www.academicinfo.us Existing Search Engines -Google Keyword Based Search Page Rank Relative importance of the web page. Anchor Text Existing Search Engines – . Existing Search Engines – . Existing Search Engines – . Existing Search Engines – AppliedSemantics CIRCA Existing Search Engines – . INIS There are three major INIS products: The INIS Database, which today contains 2.9 million bibliographic records; it is accessible by subscription only and has currently 1.3 million authorized users. A unique collection of over 850 000 full-text documents (non-conventional grey literature – NCL) in 63 language