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Based On Domain Ontology Of Chinese Finance Blog Search Engine, The Design And Implementation

Posted on:2013-06-14Degree:MasterType:Thesis
Country:ChinaCandidate:L XiongFull Text:PDF
GTID:2248330377453500Subject:Computer application technology
Abstract/Summary:PDF Full Text Request
With the rapid development of Blog, the number of web pages have a big growth. How to search the pages that we are interested in is very important in these massive pages. So the professional search engines (Blog Search Engines)for web pages was born. This paper is mainly devoted to study financial blog search engine based on ontology.We found that the blog search engines have some shortcomings after research, but it can be summarized in following three aspects:First, the calculation of the similarity of blog web pages can not support the query based on document-level. The reason is that the current blog search engine does not have a valid algorithm to calculate the similarity of blog web pages. Second, the results of search can not satisfy the user’s query intention. The reason is that whether the similariy is semantic similarity or the value of similariy is not accurate. Third how to make the content of the relevant results show in the front, this is related to the sorting algorithm of the search results.This paper made a profound study based on some above shortcomings:1. This paper proposed a Calculation algorithm of Similarity of Financial Blog web pages based on Ontology (CSFBO) on the basis of existing calculation algorithm of similarity of blog web pages for caculation of similarity of blog web pages. The algorithm put forward some financial keywords to present blog web pages and make calculation of similarity of blog web pages to calculation of similarity of between financial keywords. So the extraction of financial keywords is particularly important. We can give different weights to different parts of web pages according to the characteristics of blog web pages based on the traditional TF*IDF algorithm. So the algorithm proved the extraction of financial keywords and the accuracy of calculation of similarity.2. This paper analysised BlogRank algorithm and B2Rank algorithm, combined the characteristics of finance blog and proposed a new Sorting algorithm for Finance Blog Search(SFBS), according to the impact factor of sorting algorithm of financial blog and the shortcoming of current sorting algorithm for the sorting results of blog search.This paper applied above improve algorithm to constructed financial domain ontology and realized financial blog search engine based on domain ontology. The financial blog search engine have a high validity of improved algorithm after test a large number of data which collected from web and has a high practical value in practical applications.
Keywords/Search Tags:Finance Blog, Blog Search Engine, Finance Ontology, Semantic Similarity, BlogRank Algorithm
PDF Full Text Request
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