  The two significant tasks of a focused Web crawler are finding relevant
topic-specific documents on the Web and analytically prioritizing them for
later effective and reliable download. For the first task, we propose a
sophisticated custom algorithm to fetch and analyze the most effective HTML
structural elements of the page as well as the topical boundary and anchor text
of each unvisited link, based on which the topical focus of an unvisited page
can be predicted and elicited with a high accuracy. Thus, our novel method
uniquely combines both link-based and content-based approaches. For the second
task, we propose a scoring function of the relevant URLs through the use of
T-Graph (Treasure Graph) to assist in prioritizing the unvisited links that
will later be put into the fetching queue. Our Web search system is called the
Treasure-Crawler. This research paper embodies the architectural design of the
Treasure-Crawler system which satisfies the principle requirements of a focused
Web crawler, and asserts the correctness of the system structure including all
its modules through illustrations and by the test results.
