An adaptive real-time Web search engine

ABSTRACT

The Internet provides a wealth of information scattered all over the world. The fact that the information may be located anywhere makes it both convenient for placing information on the Web and difficult for others to find. Conventional search engines can only locate information that is in their search index and users do not have much choice in limiting or expanding the search parameters. Some web pages like those for news services change frequently and will not work well with index based search engines because the indexed information may become obsolete at any moment.We are proposing an efficient algorithm for finding information on the Web that gives the user greater control over the search path and what to search for. Unlike the conventional techniques, our algorithm does not use an index and works in real time. We save on space, we can search any part of the Internet indicated by the user, and since the search is in real time, the result will be current.

REFERENCES

• 1: Kuhanandha Mahalingam , Michael N. Huhns, A Tool for Organizing Web Information, Computer, v.30 n.6, p.80-83, June 1997 [doi>10.1109/2.587553 ]
• 2: A. Mendelson, G. Mihaila, and T. Milo, "Querying The World Wide Web", Journal of Digital Libraries 1 (1), pp. 68-88, 1997.
• 3: J. Miller, "WCC will be riding herd in efforts to catalog Web sites", The Ann Arbor News, p. B2, Wednesday, February 24, 1999.
• 4: R. Peters, and R. Sikorski, "Smarter Searching", Science Magazine, Vol. 277, p. 976, August 1998.
• 5: Ramez Elmasri , Shamkant B. Navathe, Fundamentals of database systems, Benjamin-Cummings Publishing Co., Inc., Redwood City, CA, 1989

INDEX TERMS

Primary Classification:
  H. Information Systems
  H.3 INFORMATION STORAGE AND RETRIEVAL

Additional Classification:
  H. Information Systems
  H.3 INFORMATION STORAGE AND RETRIEVAL

General Terms:
Algorithms, Design, Reliability