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The two significant tasks of a focused Web crawler are finding relevanttopic-specific documents on the Web and analytically prioritizing them forlater effective and reliable download. For the first task, we propose asophisticated custom algorithm to fetch and analyze the most effective HTMLstructural elements of the page as well as the topical boundary and anchor textof each unvisited link, based on which the topical focus of an unvisited pagecan be predicted and elicited with a high accuracy. Thus, our novel methoduniquely combines both link-based and content-based approaches. For the secondtask, we propose a scoring function of the relevant URLs through the use ofT-Graph (Treasure Graph) to assist in prioritizing the unvisited links thatwill later be put into the fetching queue. Our Web search system is called theTreasure-Crawler. This research paper embodies the architectural design of theTreasure-Crawler system which satisfies the principle requirements of a focusedWeb crawler, and asserts the correctness of the system structure including allits modules through illustrations and by the test results.

A Focused Crawler Combinatory Link and Content Model Based on T-Graph Principles