Title :
An integration framework for search engine architecture to improve information retrieval quality
Author :
Khedr, Ayman E. ; Aly, Mohamed M Reda
Author_Institution :
Inf. Syst. Dept., Helwan Univ., Helwan, Egypt
Abstract :
This Study presents a smart information retrieval methodology/smart retrieval query technique that depends on the power of search engine, clawers, full text indexing, and descriptions points for documents contents or websites as known as “An integration framework for search engine architecture to improve information retrieval quality” or smart information retrieval. The new idea for search engine architecture able to make search statement or document print that used in searching operations which depend on Boolean retrieval that uses Boolean algebra and truth table comparative technique. Search engine indexer makes indexing for documents and web sites contents which depend on the performance and quality of search engine, indexer and web clawer to produce precision, recall through crawling and indexing operations to identify folding and stemming words according to smart web query engine which has accurate crawler architecture, truth table comparative technique and search statement or document print.
Keywords :
Boolean algebra; Web sites; data mining; indexing; query processing; search engines; Boolean algebra; Boolean retrieval; Web sites; crawler architecture; full text indexing; information retrieval quality; search engine architecture; smart Web query engine; smart information retrieval; smart retrieval query technique; Engines; Internet; Marketing and sales; Clawers; Search Document Print (SDP); Search Statement Print (SSP); Search engine; Smart Information Retrieval (SIR); Truth Table Comparative Technique (TTCT).;
Conference_Titel :
Computer Technology and Development (ICCTD), 2010 2nd International Conference on
Conference_Location :
Cairo
Print_ISBN :
978-1-4244-8844-5
Electronic_ISBN :
978-1-4244-8845-2
DOI :
10.1109/ICCTD.2010.5645951