  Traditional search engines on World Wide Web (WWW) focus essentially on
relevance ranking at the page level. But this lead to missing innumerable
structured information about real-world objects embedded in static Web pages
and online Web databases. Page-level information retrieval (IR) can
unfortunately lead to highly inaccurate relevance ranking in answering
object-oriented queries. On the other hand, Object Oriented Information
Computing (OOIC) is promising and greatly reduces the complexity of the system
while improving reusability and manageability. The most distinguishing
requirement of today's complex heterogeneous systems is the need of the
computing system to instantly adapt to vigorously changing conditions. OOIC
allows reflecting the dynamic characteristics of the applications by
instantiating objects dynamically. In this paper, major challenges of OOIC as
well as its rudiments are recapped. The review includes the insight to PopRank
Model and comparison analysis of conventional page rank based IR with OOIC
